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Implement corrections up to slide 17

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This commit is contained in:
Andreas Tsouchlos
2026-04-22 10:25:35 +02:00
parent a6092a5183
commit ba951c7006
56 changed files with 1099 additions and 325 deletions
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218
src/final_presentation/copy_sim_results.sh
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@@ -21,110 +21,130 @@ df.to_csv('${filename}', index=False)
i=1
sp="/-\|"
echo "Copying BP param exploration results..."
echo -n ' '
for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
for max_iter in 32 200 5000; do
for pass_soft_info in "True" "False"; do
for F in 1 2 3; do
for W in 3 4 5; do
SRC_PATH="${BASE_PATH}+rust_exp=soft_v_hard_bp,decoder.class_name=${decoder},decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/WF/${decoder}/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
done
done
done
done
# echo "Copying BP param exploration results..."
# echo -n ' '
# for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
# for max_iter in 32 200 5000; do
# for pass_soft_info in "True" "False"; do
# for F in 1 2 3; do
# for W in 3 4 5; do
# SRC_PATH="${BASE_PATH}+rust_exp=soft_v_hard_bp,decoder.class_name=${decoder},decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
# LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
# SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
# DEST_DIR="res/sim/WF/${decoder}/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
# mkdir -p ${DEST_DIR}
# DEST_FILE="${DEST_DIR}/LERs.csv"
# cp ${SRC_FILE} ${DEST_FILE}
# post_process_LERs ${DEST_FILE}
# printf "\b${sp:i++%${#sp}:1}"
# done
# done
# done
# done
# done
#
# # Copy BPGD param exploration results
#
# echo -e "\rCopying BPGD param exploration results..."
# echo -n ' '
# for max_iter in 32 200 5000; do
# for pass_soft_info in "True" "False"; do
# for F in 1 2 3; do
# for W in 3 4 5; do
# SRC_PATH="${BASE_PATH}/+rust_exp=soft_v_hard_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
# LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
# SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
# DEST_DIR="res/sim/WF/WindowingSyndromeSpaGdDecoder/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
# mkdir -p ${DEST_DIR}
# DEST_FILE="${DEST_DIR}/LERs.csv"
# cp ${SRC_FILE} ${DEST_FILE}
# post_process_LERs ${DEST_FILE}
# printf "\b${sp:i++%${#sp}:1}"
# done
# done
# done
# done
#
# # Copy BP over max iter. results
#
# echo -e "\rCopying BP over max. iter. results..."
# echo -n ' '
# for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
# for p in 0.001 0.0025 0.004; do
# for pass_soft_info in "True" "False"; do
# for F in 1 2 3; do
# for W in 3 4 5; do
# SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bp,decoder.class_name=${decoder},decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
# LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
# SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
# DEST_DIR="res/sim/max_iter/${decoder}/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
# mkdir -p ${DEST_DIR}
# DEST_FILE="${DEST_DIR}/LERs.csv"
# cp ${SRC_FILE} ${DEST_FILE}
# post_process_LERs ${DEST_FILE}
# printf "\b${sp:i++%${#sp}:1}"
# done
# done
# done
# done
# done
#
# # Copy BPGD over max iter. results
#
# echo -e "\rCopying BPGD over max. iter. results..."
# echo -n ' '
# for p in 0.001 0.0025 0.004; do
# for pass_soft_info in "True" "False"; do
# for F in 1 2 3; do
# for W in 3 4 5; do
# SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
# LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
# SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
# DEST_DIR="res/sim/max_iter/WindowingSyndromeSpaGdDecoder/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
# mkdir -p ${DEST_DIR}
# DEST_FILE="${DEST_DIR}/LERs.csv"
# cp ${SRC_FILE} ${DEST_FILE}
# post_process_LERs ${DEST_FILE}
# printf "\b${sp:i++%${#sp}:1}"
# done
# done
# done
# done
#
# # Copy BP over max iter. results
#
# echo -e "\rCopying one-shot simulation results..."
# echo -n ' '
# for decoder in "SyndromeMinSumDecoder" "SyndromeSpaDecoder" "SyndromeSpaGdDecoder"; do
# for max_iter in 32 200 5000; do
# SRC_PATH="${BASE_PATH}+rust_exp=whole_bp_bpgd,decoder.class_name=${decoder},decoder.max_iter=${max_iter},system.F=1,system.W=5/"
# LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
# SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
# DEST_DIR="res/sim/one-shot/${decoder}/max_iter_${max_iter}/"
# mkdir -p ${DEST_DIR}
# DEST_FILE="${DEST_DIR}/LERs.csv"
# cp ${SRC_FILE} ${DEST_FILE}
# post_process_LERs ${DEST_FILE}
# printf "\b${sp:i++%${#sp}:1}"
# done
# done
# Copy BPGD param exploration results
# Copy BPGD decimation passing
echo -e "\rCopying BPGD param exploration results..."
echo -n ' '
for max_iter in 32 200 5000; do
for pass_soft_info in "True" "False"; do
for F in 1 2 3; do
for W in 3 4 5; do
SRC_PATH="${BASE_PATH}/+rust_exp=soft_v_hard_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/WF/WindowingSyndromeSpaGdDecoder/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
for F in 1 2 3; do
for W in 3 4 5; do
SRC_PATH="${BASE_PATH}+rust_exp=soft_v_hard_bpgd_pass_channel,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.max_iter=${max_iter},decoder.pass_soft_info=True,system.F=${F},system.W=${W}"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_${max_iter}/pass_soft_info_True/F_${F}/W_${W}/"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
done
done
# Copy BP over max iter. results
echo -e "\rCopying BP over max. iter. results..."
echo -n ' '
for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
for p in 0.001 0.0025 0.004; do
for pass_soft_info in "True" "False"; do
for F in 1 2 3; do
for W in 3 4 5; do
SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bp,decoder.class_name=${decoder},decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/max_iter/${decoder}/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
done
done
done
done
# Copy BPGD over max iter. results
echo -e "\rCopying BPGD over max. iter. results..."
echo -n ' '
for p in 0.001 0.0025 0.004; do
for pass_soft_info in "True" "False"; do
for F in 1 2 3; do
for W in 3 4 5; do
SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/max_iter/WindowingSyndromeSpaGdDecoder/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
done
done
done
# Copy BP over max iter. results
echo -e "\rCopying one-shot simulation results..."
echo -n ' '
for decoder in "SyndromeMinSumDecoder" "SyndromeSpaDecoder" "SyndromeSpaGdDecoder"; do
for max_iter in 32 200 5000; do
SRC_PATH="${BASE_PATH}+rust_exp=whole_bp_bpgd,decoder.class_name=${decoder},decoder.max_iter=${max_iter},system.F=1,system.W=5/"
LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
DEST_DIR="res/sim/one-shot/${decoder}/max_iter_${max_iter}/"
mkdir -p ${DEST_DIR}
DEST_FILE="${DEST_DIR}/LERs.csv"
cp ${SRC_FILE} ${DEST_FILE}
post_process_LERs ${DEST_FILE}
printf "\b${sp:i++%${#sp}:1}"
done
done

774
src/final_presentation/main.tex
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8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_1/W_3/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.0238,0.0020053029820819024,238.00000000000003
0.0015,4000,0.072,0.006207614833215747,288.0
0.002,2000,0.1545,0.013888248487303967,309.0
0.0025,2000,0.316,0.03115416825283479,632.0
0.003,2000,0.5005,0.05620437958483415,1000.9999999999999
0.0035,2000,0.6885,0.09262215539223495,1377.0
0.004,2000,0.8325,0.13834270815997607,1665.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.0238 0.0020053029820819024 238.00000000000003
3 0.0015 4000 0.072 0.006207614833215747 288.0
4 0.002 2000 0.1545 0.013888248487303967 309.0
5 0.0025 2000 0.316 0.03115416825283479 632.0
6 0.003 2000 0.5005 0.05620437958483415 1000.9999999999999
7 0.0035 2000 0.6885 0.09262215539223495 1377.0
8 0.004 2000 0.8325 0.13834270815997607 1665.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_1/W_4/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,14000,0.0152142857142857,0.0012767850842765327,212.9999999999998
0.0015,6000,0.0423333333333333,0.003598136858263712,253.9999999999998
0.002,4000,0.09125,0.007942064662371462,365.0
0.0025,2000,0.2125,0.019710810011481006,425.0
0.003,2000,0.3495,0.03520004381148534,699.0
0.0035,2000,0.5385,0.062407102537387016,1077.0
0.004,2000,0.73,0.10336921268218224,1460.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 14000 0.0152142857142857 0.0012767850842765327 212.9999999999998
3 0.0015 6000 0.0423333333333333 0.003598136858263712 253.9999999999998
4 0.002 4000 0.09125 0.007942064662371462 365.0
5 0.0025 2000 0.2125 0.019710810011481006 425.0
6 0.003 2000 0.3495 0.03520004381148534 699.0
7 0.0035 2000 0.5385 0.062407102537387016 1077.0
8 0.004 2000 0.73 0.10336921268218224 1460.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_1/W_5/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,16000,0.0133125,0.0011162020567171416,213.0
0.0015,6000,0.0356666666666666,0.0030219465890483077,213.99999999999957
0.002,4000,0.07825,0.006767102824702054,313.0
0.0025,2000,0.1825,0.016651831038692277,365.0
0.003,2000,0.3045,0.02980709452650332,609.0
0.0035,2000,0.4855,0.05387442629125816,971.0
0.004,2000,0.669,0.08801926098667279,1338.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 16000 0.0133125 0.0011162020567171416 213.0
3 0.0015 6000 0.0356666666666666 0.0030219465890483077 213.99999999999957
4 0.002 4000 0.07825 0.006767102824702054 313.0
5 0.0025 2000 0.1825 0.016651831038692277 365.0
6 0.003 2000 0.3045 0.02980709452650332 609.0
7 0.0035 2000 0.4855 0.05387442629125816 971.0
8 0.004 2000 0.669 0.08801926098667279 1338.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_2/W_3/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.09525,0.00830669189113975,381.0
0.0015,2000,0.2055,0.018987611527110704,411.0
0.002,2000,0.357,0.03613195793118629,714.0
0.0025,2000,0.545,0.06351473218845116,1090.0
0.003,2000,0.6935,0.09384489827464226,1387.0
0.0035,2000,0.832,0.1381286582468193,1664.0
0.004,2000,0.93,0.19876821407276757,1860.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.09525 0.00830669189113975 381.0
3 0.0015 2000 0.2055 0.018987611527110704 411.0
4 0.002 2000 0.357 0.03613195793118629 714.0
5 0.0025 2000 0.545 0.06351473218845116 1090.0
6 0.003 2000 0.6935 0.09384489827464226 1387.0
7 0.0035 2000 0.832 0.1381286582468193 1664.0
8 0.004 2000 0.93 0.19876821407276757 1860.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_2/W_4/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.0241,0.002030864734142268,241.0
0.0015,4000,0.06575,0.00565157033403707,263.0
0.002,2000,0.141,0.012585659483247746,282.0
0.0025,2000,0.2935,0.028537560287876573,587.0
0.003,2000,0.4435,0.0476671526131055,887.0
0.0035,2000,0.6345,0.08045296488086273,1269.0
0.004,2000,0.8025,0.1264309108240147,1605.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.0241 0.002030864734142268 241.0
3 0.0015 4000 0.06575 0.00565157033403707 263.0
4 0.002 2000 0.141 0.012585659483247746 282.0
5 0.0025 2000 0.2935 0.028537560287876573 587.0
6 0.003 2000 0.4435 0.0476671526131055 887.0
7 0.0035 2000 0.6345 0.08045296488086273 1269.0
8 0.004 2000 0.8025 0.1264309108240147 1605.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_2/W_5/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.021,0.0017670732553261015,210.0
0.0015,6000,0.0465,0.00396012576706084,279.0
0.002,2000,0.104,0.009109493684829828,208.0
0.0025,2000,0.2245,0.020964401195132876,449.0
0.003,2000,0.3625,0.036821715807038524,725.0
0.0035,2000,0.548,0.06403084608115772,1096.0
0.004,2000,0.7285,0.10295515908471375,1457.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.021 0.0017670732553261015 210.0
3 0.0015 6000 0.0465 0.00396012576706084 279.0
4 0.002 2000 0.104 0.009109493684829828 208.0
5 0.0025 2000 0.2245 0.020964401195132876 449.0
6 0.003 2000 0.3625 0.036821715807038524 725.0
7 0.0035 2000 0.548 0.06403084608115772 1096.0
8 0.004 2000 0.7285 0.10295515908471375 1457.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_3/W_3/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.6345,0.08045296488086273,1269.0
0.0015,2000,0.779,0.11820826718637822,1558.0
0.002,2000,0.9055,0.17847777445667334,1811.0
0.0025,2000,0.9405,0.2095463416012857,1881.0
0.003,2000,0.986,0.2993346035711716,1972.0
0.0035,2000,0.995,0.3569459165824279,1990.0
0.004,2000,0.9975,0.39303776899708387,1995.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.6345 0.08045296488086273 1269.0
3 0.0015 2000 0.779 0.11820826718637822 1558.0
4 0.002 2000 0.9055 0.17847777445667334 1811.0
5 0.0025 2000 0.9405 0.2095463416012857 1881.0
6 0.003 2000 0.986 0.2993346035711716 1972.0
7 0.0035 2000 0.995 0.3569459165824279 1990.0
8 0.004 2000 0.9975 0.39303776899708387 1995.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_3/W_4/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.07675,0.006632509273037823,307.0
0.0015,2000,0.158,0.014229068201835782,316.0
0.002,2000,0.2905,0.028194468681520868,581.0
0.0025,2000,0.4345,0.046393101582849816,869.0
0.003,2000,0.6165,0.07676176791425904,1233.0
0.0035,2000,0.7815,0.11904386007281431,1563.0
0.004,2000,0.902,0.17598426223523023,1804.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.07675 0.006632509273037823 307.0
3 0.0015 2000 0.158 0.014229068201835782 316.0
4 0.002 2000 0.2905 0.028194468681520868 581.0
5 0.0025 2000 0.4345 0.046393101582849816 869.0
6 0.003 2000 0.6165 0.07676176791425904 1233.0
7 0.0035 2000 0.7815 0.11904386007281431 1563.0
8 0.004 2000 0.902 0.17598426223523023 1804.0

8
src/final_presentation/res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_200/pass_soft_info_/F_3/W_5/LERs.csv Normal file
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@@ -0,0 +1,8 @@
physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.029,0.0024493962125633484,232.0
0.0015,4000,0.05725,0.0049007969513406024,229.0
0.002,2000,0.1265,0.011207320558933254,253.0
0.0025,2000,0.2535,0.024068915462335805,507.0
0.003,2000,0.4235,0.04486093210702646,847.0
0.0035,2000,0.6075,0.07497535182276793,1215.0
0.004,2000,0.777,0.11754600833717888,1554.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.029 0.0024493962125633484 232.0
3 0.0015 4000 0.05725 0.0049007969513406024 229.0
4 0.002 2000 0.1265 0.011207320558933254 253.0
5 0.0025 2000 0.2535 0.024068915462335805 507.0
6 0.003 2000 0.4235 0.04486093210702646 847.0
7 0.0035 2000 0.6075 0.07497535182276793 1215.0
8 0.004 2000 0.777 0.11754600833717888 1554.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.0238,0.0020053029820819024,238.00000000000003
0.0015,4000,0.072,0.006207614833215747,288.0
0.002,2000,0.1545,0.013888248487303967,309.0
0.0025,2000,0.316,0.03115416825283479,632.0
0.003,2000,0.5005,0.05620437958483415,1000.9999999999999
0.0035,2000,0.6885,0.09262215539223495,1377.0
0.004,2000,0.8325,0.13834270815997607,1665.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.0238 0.0020053029820819024 238.00000000000003
3 0.0015 4000 0.072 0.006207614833215747 288.0
4 0.002 2000 0.1545 0.013888248487303967 309.0
5 0.0025 2000 0.316 0.03115416825283479 632.0
6 0.003 2000 0.5005 0.05620437958483415 1000.9999999999999
7 0.0035 2000 0.6885 0.09262215539223495 1377.0
8 0.004 2000 0.8325 0.13834270815997607 1665.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,14000,0.0152142857142857,0.0012767850842765327,212.9999999999998
0.0015,6000,0.0423333333333333,0.003598136858263712,253.9999999999998
0.002,4000,0.09125,0.007942064662371462,365.0
0.0025,2000,0.2125,0.019710810011481006,425.0
0.003,2000,0.3495,0.03520004381148534,699.0
0.0035,2000,0.5385,0.062407102537387016,1077.0
0.004,2000,0.73,0.10336921268218224,1460.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 14000 0.0152142857142857 0.0012767850842765327 212.9999999999998
3 0.0015 6000 0.0423333333333333 0.003598136858263712 253.9999999999998
4 0.002 4000 0.09125 0.007942064662371462 365.0
5 0.0025 2000 0.2125 0.019710810011481006 425.0
6 0.003 2000 0.3495 0.03520004381148534 699.0
7 0.0035 2000 0.5385 0.062407102537387016 1077.0
8 0.004 2000 0.73 0.10336921268218224 1460.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,16000,0.012625,0.00105822073058226,202.0
0.0015,6000,0.0361666666666666,0.003065034000747535,216.99999999999957
0.002,4000,0.07825,0.006767102824702054,313.0
0.0025,2000,0.1805,0.016451576756056352,361.0
0.003,2000,0.2975,0.028997099091453427,595.0
0.0035,2000,0.484,0.05364486757783793,968.0
0.004,2000,0.6815,0.09094019994635105,1363.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 16000 0.012625 0.00105822073058226 202.0
3 0.0015 6000 0.0361666666666666 0.003065034000747535 216.99999999999957
4 0.002 4000 0.07825 0.006767102824702054 313.0
5 0.0025 2000 0.1805 0.016451576756056352 361.0
6 0.003 2000 0.2975 0.028997099091453427 595.0
7 0.0035 2000 0.484 0.05364486757783793 968.0
8 0.004 2000 0.6815 0.09094019994635105 1363.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.09525,0.00830669189113975,381.0
0.0015,2000,0.2055,0.018987611527110704,411.0
0.002,2000,0.357,0.03613195793118629,714.0
0.0025,2000,0.545,0.06351473218845116,1090.0
0.003,2000,0.6935,0.09384489827464226,1387.0
0.0035,2000,0.832,0.1381286582468193,1664.0
0.004,2000,0.93,0.19876821407276757,1860.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.09525 0.00830669189113975 381.0
3 0.0015 2000 0.2055 0.018987611527110704 411.0
4 0.002 2000 0.357 0.03613195793118629 714.0
5 0.0025 2000 0.545 0.06351473218845116 1090.0
6 0.003 2000 0.6935 0.09384489827464226 1387.0
7 0.0035 2000 0.832 0.1381286582468193 1664.0
8 0.004 2000 0.93 0.19876821407276757 1860.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.0241,0.002030864734142268,241.0
0.0015,4000,0.06575,0.00565157033403707,263.0
0.002,2000,0.141,0.012585659483247746,282.0
0.0025,2000,0.2935,0.028537560287876573,587.0
0.003,2000,0.4435,0.0476671526131055,887.0
0.0035,2000,0.6345,0.08045296488086273,1269.0
0.004,2000,0.8025,0.1264309108240147,1605.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.0241 0.002030864734142268 241.0
3 0.0015 4000 0.06575 0.00565157033403707 263.0
4 0.002 2000 0.141 0.012585659483247746 282.0
5 0.0025 2000 0.2935 0.028537560287876573 587.0
6 0.003 2000 0.4435 0.0476671526131055 887.0
7 0.0035 2000 0.6345 0.08045296488086273 1269.0
8 0.004 2000 0.8025 0.1264309108240147 1605.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,10000,0.0211,0.0017755706988360487,211.0
0.0015,6000,0.0463333333333333,0.003945618395298722,277.99999999999983
0.002,2000,0.105,0.009201699575916766,210.0
0.0025,2000,0.228,0.02133338177466315,456.0
0.003,2000,0.36,0.03650751600100388,720.0
0.0035,2000,0.5485,0.06411717019910101,1097.0
0.004,2000,0.7295,0.10323096103754015,1459.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 10000 0.0211 0.0017755706988360487 211.0
3 0.0015 6000 0.0463333333333333 0.003945618395298722 277.99999999999983
4 0.002 2000 0.105 0.009201699575916766 210.0
5 0.0025 2000 0.228 0.02133338177466315 456.0
6 0.003 2000 0.36 0.03650751600100388 720.0
7 0.0035 2000 0.5485 0.06411717019910101 1097.0
8 0.004 2000 0.7295 0.10323096103754015 1459.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.6345,0.08045296488086273,1269.0
0.0015,2000,0.779,0.11820826718637822,1558.0
0.002,2000,0.9055,0.17847777445667334,1811.0
0.0025,2000,0.9405,0.2095463416012857,1881.0
0.003,2000,0.986,0.2993346035711716,1972.0
0.0035,2000,0.995,0.3569459165824279,1990.0
0.004,2000,0.9975,0.39303776899708387,1995.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.6345 0.08045296488086273 1269.0
3 0.0015 2000 0.779 0.11820826718637822 1558.0
4 0.002 2000 0.9055 0.17847777445667334 1811.0
5 0.0025 2000 0.9405 0.2095463416012857 1881.0
6 0.003 2000 0.986 0.2993346035711716 1972.0
7 0.0035 2000 0.995 0.3569459165824279 1990.0
8 0.004 2000 0.9975 0.39303776899708387 1995.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.07675,0.006632509273037823,307.0
0.0015,2000,0.158,0.014229068201835782,316.0
0.002,2000,0.2905,0.028194468681520868,581.0
0.0025,2000,0.4345,0.046393101582849816,869.0
0.003,2000,0.6165,0.07676176791425904,1233.0
0.0035,2000,0.7815,0.11904386007281431,1563.0
0.004,2000,0.902,0.17598426223523023,1804.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.07675 0.006632509273037823 307.0
3 0.0015 2000 0.158 0.014229068201835782 316.0
4 0.002 2000 0.2905 0.028194468681520868 581.0
5 0.0025 2000 0.4345 0.046393101582849816 869.0
6 0.003 2000 0.6165 0.07676176791425904 1233.0
7 0.0035 2000 0.7815 0.11904386007281431 1563.0
8 0.004 2000 0.902 0.17598426223523023 1804.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.02875,0.0024279957468343882,230.0
0.0015,4000,0.0575,0.004922789795181348,230.0
0.002,2000,0.1265,0.011207320558933254,253.0
0.0025,2000,0.2515,0.023851292168152738,503.0
0.003,2000,0.422,0.04465408000054649,844.0
0.0035,2000,0.6145,0.07636149030762607,1229.0
0.004,2000,0.776,0.11721691810638313,1552.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.02875 0.0024279957468343882 230.0
3 0.0015 4000 0.0575 0.004922789795181348 230.0
4 0.002 2000 0.1265 0.011207320558933254 253.0
5 0.0025 2000 0.2515 0.023851292168152738 503.0
6 0.003 2000 0.422 0.04465408000054649 844.0
7 0.0035 2000 0.6145 0.07636149030762607 1229.0
8 0.004 2000 0.776 0.11721691810638313 1552.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0351666666666666,0.0029788796512925098,210.99999999999963
0.0015,2000,0.102,0.008925364554660087,204.0
0.002,2000,0.22,0.02049223417716306,440.0
0.0025,2000,0.39,0.040354525526934304,780.0
0.003,2000,0.5675,0.06746420864522562,1135.0
0.0035,2000,0.7385,0.10575612450061989,1477.0
0.004,2000,0.8585,0.15037026489320615,1717.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0351666666666666 0.0029788796512925098 210.99999999999963
3 0.0015 2000 0.102 0.008925364554660087 204.0
4 0.002 2000 0.22 0.02049223417716306 440.0
5 0.0025 2000 0.39 0.040354525526934304 780.0
6 0.003 2000 0.5675 0.06746420864522562 1135.0
7 0.0035 2000 0.7385 0.10575612450061989 1477.0
8 0.004 2000 0.8585 0.15037026489320615 1717.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.02775,0.0023424443475220658,222.0
0.0015,4000,0.072,0.006207614833215747,288.0
0.002,2000,0.1445,0.012921555968088194,289.0
0.0025,2000,0.2795,0.026947740549572385,559.0
0.003,2000,0.441,0.04731136584915907,882.0
0.0035,2000,0.6185,0.07716396365395395,1237.0
0.004,2000,0.788,0.12125812649764789,1576.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.02775 0.0023424443475220658 222.0
3 0.0015 4000 0.072 0.006207614833215747 288.0
4 0.002 2000 0.1445 0.012921555968088194 289.0
5 0.0025 2000 0.2795 0.026947740549572385 559.0
6 0.003 2000 0.441 0.04731136584915907 882.0
7 0.0035 2000 0.6185 0.07716396365395395 1237.0
8 0.004 2000 0.788 0.12125812649764789 1576.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.025,0.002107593231860272,200.0
0.0015,4000,0.05975,0.005120966383739489,239.0
0.002,2000,0.133,0.011822582694107964,266.0
0.0025,2000,0.246,0.023255565050700366,492.0
0.003,2000,0.4025,0.04200886010514693,805.0
0.0035,2000,0.573,0.06845825222055246,1146.0
0.004,2000,0.739,0.10589873579900821,1478.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.025 0.002107593231860272 200.0
3 0.0015 4000 0.05975 0.005120966383739489 239.0
4 0.002 2000 0.133 0.011822582694107964 266.0
5 0.0025 2000 0.246 0.023255565050700366 492.0
6 0.003 2000 0.4025 0.04200886010514693 805.0
7 0.0035 2000 0.573 0.06845825222055246 1146.0
8 0.004 2000 0.739 0.10589873579900821 1478.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.122,0.010783823589648356,244.0
0.0015,2000,0.249,0.02358001139497612,498.0
0.002,2000,0.4055,0.042410618607193085,811.0
0.0025,2000,0.597,0.07293805548454202,1194.0
0.003,2000,0.7535,0.11014739333378609,1507.0
0.0035,2000,0.8685,0.15554376610253706,1737.0
0.004,2000,0.948,0.2183716939318997,1896.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.122 0.010783823589648356 244.0
3 0.0015 2000 0.249 0.02358001139497612 498.0
4 0.002 2000 0.4055 0.042410618607193085 811.0
5 0.0025 2000 0.597 0.07293805548454202 1194.0
6 0.003 2000 0.7535 0.11014739333378609 1507.0
7 0.0035 2000 0.8685 0.15554376610253706 1737.0
8 0.004 2000 0.948 0.2183716939318997 1896.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0446666666666666,0.003800672363933444,267.9999999999996
0.0015,2000,0.1105,0.00971052637237435,221.0
0.002,2000,0.212,0.019658957946067646,424.0
0.0025,2000,0.384,0.03957145487337721,768.0
0.003,2000,0.5495,0.06429008164677474,1099.0
0.0035,2000,0.734,0.10448375252924946,1468.0
0.004,2000,0.8555,0.14888354449188368,1711.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0446666666666666 0.003800672363933444 267.9999999999996
3 0.0015 2000 0.1105 0.00971052637237435 221.0
4 0.002 2000 0.212 0.019658957946067646 424.0
5 0.0025 2000 0.384 0.03957145487337721 768.0
6 0.003 2000 0.5495 0.06429008164677474 1099.0
7 0.0035 2000 0.734 0.10448375252924946 1468.0
8 0.004 2000 0.8555 0.14888354449188368 1711.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0378333333333333,0.003208806835448441,226.9999999999998
0.0015,4000,0.08575,0.007443097095222506,343.0
0.002,2000,0.1875,0.017154438363525593,375.0
0.0025,2000,0.314,0.03091841049269084,628.0
0.003,2000,0.4785,0.052808353186771906,957.0
0.0035,2000,0.6525,0.08431471728347295,1305.0
0.004,2000,0.7985,0.12497004430711789,1597.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0378333333333333 0.003208806835448441 226.9999999999998
3 0.0015 4000 0.08575 0.007443097095222506 343.0
4 0.002 2000 0.1875 0.017154438363525593 375.0
5 0.0025 2000 0.314 0.03091841049269084 628.0
6 0.003 2000 0.4785 0.052808353186771906 957.0
7 0.0035 2000 0.6525 0.08431471728347295 1305.0
8 0.004 2000 0.7985 0.12497004430711789 1597.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.6425,0.08214727030869018,1285.0
0.0015,2000,0.801,0.12587993433139888,1602.0
0.002,2000,0.915,0.18569910809558177,1830.0
0.0025,2000,0.957,0.23065281104227697,1914.0
0.003,2000,0.9865,0.30145485158230434,1973.0
0.0035,2000,0.995,0.3569459165824279,1990.0
0.004,2000,0.9975,0.39303776899708387,1995.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.6425 0.08214727030869018 1285.0
3 0.0015 2000 0.801 0.12587993433139888 1602.0
4 0.002 2000 0.915 0.18569910809558177 1830.0
5 0.0025 2000 0.957 0.23065281104227697 1914.0
6 0.003 2000 0.9865 0.30145485158230434 1973.0
7 0.0035 2000 0.995 0.3569459165824279 1990.0
8 0.004 2000 0.9975 0.39303776899708387 1995.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.11,0.009664150391878956,220.0
0.0015,2000,0.202,0.018628199928893086,404.0
0.002,2000,0.37,0.0377711386183186,740.0
0.0025,2000,0.512,0.05803452525767827,1024.0
0.003,2000,0.6965,0.0945873500188964,1393.0
0.0035,2000,0.834,0.13898839048277334,1668.0
0.004,2000,0.9305,0.19924670627472074,1861.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.11 0.009664150391878956 220.0
3 0.0015 2000 0.202 0.018628199928893086 404.0
4 0.002 2000 0.37 0.0377711386183186 740.0
5 0.0025 2000 0.512 0.05803452525767827 1024.0
6 0.003 2000 0.6965 0.0945873500188964 1393.0
7 0.0035 2000 0.834 0.13898839048277334 1668.0
8 0.004 2000 0.9305 0.19924670627472074 1861.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.053,0.004527734248755855,212.0
0.0015,2000,0.1075,0.00943262812547807,215.0
0.002,2000,0.2205,0.02054457368926077,441.0
0.0025,2000,0.376,0.038538166239228344,752.0
0.003,2000,0.5365,0.06206916981125732,1073.0
0.0035,2000,0.7015,0.0958398514873553,1403.0
0.004,2000,0.8395,0.14140256564407638,1679.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.053 0.004527734248755855 212.0
3 0.0015 2000 0.1075 0.00943262812547807 215.0
4 0.002 2000 0.2205 0.02054457368926077 441.0
5 0.0025 2000 0.376 0.038538166239228344 752.0
6 0.003 2000 0.5365 0.06206916981125732 1073.0
7 0.0035 2000 0.7015 0.0958398514873553 1403.0
8 0.004 2000 0.8395 0.14140256564407638 1679.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0351666666666666,0.0029788796512925098,210.99999999999963
0.0015,2000,0.102,0.008925364554660087,204.0
0.002,2000,0.22,0.02049223417716306,440.0
0.0025,2000,0.39,0.040354525526934304,780.0
0.003,2000,0.5675,0.06746420864522562,1135.0
0.0035,2000,0.7385,0.10575612450061989,1477.0
0.004,2000,0.8585,0.15037026489320615,1717.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0351666666666666 0.0029788796512925098 210.99999999999963
3 0.0015 2000 0.102 0.008925364554660087 204.0
4 0.002 2000 0.22 0.02049223417716306 440.0
5 0.0025 2000 0.39 0.040354525526934304 780.0
6 0.003 2000 0.5675 0.06746420864522562 1135.0
7 0.0035 2000 0.7385 0.10575612450061989 1477.0
8 0.004 2000 0.8585 0.15037026489320615 1717.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.02775,0.0023424443475220658,222.0
0.0015,4000,0.072,0.006207614833215747,288.0
0.002,2000,0.1445,0.012921555968088194,289.0
0.0025,2000,0.2795,0.026947740549572385,559.0
0.003,2000,0.441,0.04731136584915907,882.0
0.0035,2000,0.6185,0.07716396365395395,1237.0
0.004,2000,0.788,0.12125812649764789,1576.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.02775 0.0023424443475220658 222.0
3 0.0015 4000 0.072 0.006207614833215747 288.0
4 0.002 2000 0.1445 0.012921555968088194 289.0
5 0.0025 2000 0.2795 0.026947740549572385 559.0
6 0.003 2000 0.441 0.04731136584915907 882.0
7 0.0035 2000 0.6185 0.07716396365395395 1237.0
8 0.004 2000 0.788 0.12125812649764789 1576.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,8000,0.02525,0.0021289182254428107,202.0
0.0015,4000,0.0605,0.005187121857093913,242.0
0.002,2000,0.1325,0.011775104977986728,265.0
0.0025,2000,0.243,0.02293229988118739,486.0
0.003,2000,0.402,0.04194208019539358,804.0
0.0035,2000,0.5725,0.06836740111084738,1145.0
0.004,2000,0.7395,0.10604159775255029,1479.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 8000 0.02525 0.0021289182254428107 202.0
3 0.0015 4000 0.0605 0.005187121857093913 242.0
4 0.002 2000 0.1325 0.011775104977986728 265.0
5 0.0025 2000 0.243 0.02293229988118739 486.0
6 0.003 2000 0.402 0.04194208019539358 804.0
7 0.0035 2000 0.5725 0.06836740111084738 1145.0
8 0.004 2000 0.7395 0.10604159775255029 1479.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.122,0.010783823589648356,244.0
0.0015,2000,0.249,0.02358001139497612,498.0
0.002,2000,0.4055,0.042410618607193085,811.0
0.0025,2000,0.597,0.07293805548454202,1194.0
0.003,2000,0.7535,0.11014739333378609,1507.0
0.0035,2000,0.8685,0.15554376610253706,1737.0
0.004,2000,0.948,0.2183716939318997,1896.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.122 0.010783823589648356 244.0
3 0.0015 2000 0.249 0.02358001139497612 498.0
4 0.002 2000 0.4055 0.042410618607193085 811.0
5 0.0025 2000 0.597 0.07293805548454202 1194.0
6 0.003 2000 0.7535 0.11014739333378609 1507.0
7 0.0035 2000 0.8685 0.15554376610253706 1737.0
8 0.004 2000 0.948 0.2183716939318997 1896.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0446666666666666,0.003800672363933444,267.9999999999996
0.0015,2000,0.1105,0.00971052637237435,221.0
0.002,2000,0.212,0.019658957946067646,424.0
0.0025,2000,0.384,0.03957145487337721,768.0
0.003,2000,0.5495,0.06429008164677474,1099.0
0.0035,2000,0.734,0.10448375252924946,1468.0
0.004,2000,0.8555,0.14888354449188368,1711.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0446666666666666 0.003800672363933444 267.9999999999996
3 0.0015 2000 0.1105 0.00971052637237435 221.0
4 0.002 2000 0.212 0.019658957946067646 424.0
5 0.0025 2000 0.384 0.03957145487337721 768.0
6 0.003 2000 0.5495 0.06429008164677474 1099.0
7 0.0035 2000 0.734 0.10448375252924946 1468.0
8 0.004 2000 0.8555 0.14888354449188368 1711.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,6000,0.0378333333333333,0.003208806835448441,226.9999999999998
0.0015,4000,0.08575,0.007443097095222506,343.0
0.002,2000,0.1875,0.017154438363525593,375.0
0.0025,2000,0.3145,0.030977290805729196,629.0
0.003,2000,0.478,0.05273270795905949,956.0
0.0035,2000,0.653,0.08442458415488852,1306.0
0.004,2000,0.7985,0.12497004430711789,1597.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 6000 0.0378333333333333 0.003208806835448441 226.9999999999998
3 0.0015 4000 0.08575 0.007443097095222506 343.0
4 0.002 2000 0.1875 0.017154438363525593 375.0
5 0.0025 2000 0.3145 0.030977290805729196 629.0
6 0.003 2000 0.478 0.05273270795905949 956.0
7 0.0035 2000 0.653 0.08442458415488852 1306.0
8 0.004 2000 0.7985 0.12497004430711789 1597.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.6425,0.08214727030869018,1285.0
0.0015,2000,0.801,0.12587993433139888,1602.0
0.002,2000,0.915,0.18569910809558177,1830.0
0.0025,2000,0.957,0.23065281104227697,1914.0
0.003,2000,0.9865,0.30145485158230434,1973.0
0.0035,2000,0.995,0.3569459165824279,1990.0
0.004,2000,0.9975,0.39303776899708387,1995.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.6425 0.08214727030869018 1285.0
3 0.0015 2000 0.801 0.12587993433139888 1602.0
4 0.002 2000 0.915 0.18569910809558177 1830.0
5 0.0025 2000 0.957 0.23065281104227697 1914.0
6 0.003 2000 0.9865 0.30145485158230434 1973.0
7 0.0035 2000 0.995 0.3569459165824279 1990.0
8 0.004 2000 0.9975 0.39303776899708387 1995.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.11,0.009664150391878956,220.0
0.0015,2000,0.202,0.018628199928893086,404.0
0.002,2000,0.37,0.0377711386183186,740.0
0.0025,2000,0.512,0.05803452525767827,1024.0
0.003,2000,0.6965,0.0945873500188964,1393.0
0.0035,2000,0.834,0.13898839048277334,1668.0
0.004,2000,0.9305,0.19924670627472074,1861.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.11 0.009664150391878956 220.0
3 0.0015 2000 0.202 0.018628199928893086 404.0
4 0.002 2000 0.37 0.0377711386183186 740.0
5 0.0025 2000 0.512 0.05803452525767827 1024.0
6 0.003 2000 0.6965 0.0945873500188964 1393.0
7 0.0035 2000 0.834 0.13898839048277334 1668.0
8 0.004 2000 0.9305 0.19924670627472074 1861.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.053,0.004527734248755855,212.0
0.0015,2000,0.1075,0.00943262812547807,215.0
0.002,2000,0.2205,0.02054457368926077,441.0
0.0025,2000,0.3755,0.03847398962908877,751.0
0.003,2000,0.537,0.06215352749625136,1074.0
0.0035,2000,0.702,0.0959661573277949,1404.0
0.004,2000,0.8395,0.14140256564407638,1679.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.053 0.004527734248755855 212.0
3 0.0015 2000 0.1075 0.00943262812547807 215.0
4 0.002 2000 0.2205 0.02054457368926077 441.0
5 0.0025 2000 0.3755 0.03847398962908877 751.0
6 0.003 2000 0.537 0.06215352749625136 1074.0
7 0.0035 2000 0.702 0.0959661573277949 1404.0
8 0.004 2000 0.8395 0.14140256564407638 1679.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00039,3.250581082292481e-05,39.0
0.0015,84000,0.0023809523809523,0.00019862955014460226,199.9999999999932
0.002,22000,0.0093181818181818,0.0007798513967101073,204.9999999999996
0.0025,6000,0.0348333333333333,0.002950179723826829,208.9999999999998
0.003,2000,0.102,0.008925364554660087,204.0
0.0035,2000,0.2065,0.01909056713578361,413.0
0.004,2000,0.37,0.0377711386183186,740.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00039 3.250581082292481e-05 39.0
3 0.0015 84000 0.0023809523809523 0.00019862955014460226 199.9999999999932
4 0.002 22000 0.0093181818181818 0.0007798513967101073 204.9999999999996
5 0.0025 6000 0.0348333333333333 0.002950179723826829 208.9999999999998
6 0.003 2000 0.102 0.008925364554660087 204.0
7 0.0035 2000 0.2065 0.01909056713578361 413.0
8 0.004 2000 0.37 0.0377711386183186 740.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00012,1.0000550042188472e-05,12.0
0.0015,100000,0.00088,7.33629277510639e-05,88.0
0.002,38000,0.0052894736842105,0.0004418617234457356,200.999999999999
0.0025,10000,0.0219,0.0018435789073465436,219.0
0.003,4000,0.062,0.005319578163374583,248.0
0.0035,2000,0.131,0.01163282218493733,262.0
0.004,2000,0.257,0.024451045518294245,514.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00012 1.0000550042188472e-05 12.0
3 0.0015 100000 0.00088 7.33629277510639e-05 88.0
4 0.002 38000 0.0052894736842105 0.0004418617234457356 200.999999999999
5 0.0025 10000 0.0219 0.0018435789073465436 219.0
6 0.003 4000 0.062 0.005319578163374583 248.0
7 0.0035 2000 0.131 0.01163282218493733 262.0
8 0.004 2000 0.257 0.024451045518294245 514.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00011,9.167128851905737e-06,11.0
0.0015,100000,0.00077,6.418932329932403e-05,77.0
0.002,54000,0.0037592592592592,0.00031381266992402956,202.99999999999682
0.0025,14000,0.0149285714285714,0.0012526417987225313,208.9999999999996
0.003,6000,0.045,0.0038296430163020645,270.0
0.0035,2000,0.1115,0.009803350066175276,223.0
0.004,2000,0.2305,0.021597879347753368,461.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00011 9.167128851905737e-06 11.0
3 0.0015 100000 0.00077 6.418932329932403e-05 77.0
4 0.002 54000 0.0037592592592592 0.00031381266992402956 202.99999999999682
5 0.0025 14000 0.0149285714285714 0.0012526417987225313 208.9999999999996
6 0.003 6000 0.045 0.0038296430163020645 270.0
7 0.0035 2000 0.1115 0.009803350066175276 223.0
8 0.004 2000 0.2305 0.021597879347753368 461.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,98000,0.0020510204081632,0.00017107925018833292,200.9999999999936
0.0015,18000,0.0115,0.0009634219750452866,207.0
0.002,6000,0.0333333333333333,0.0028211423839156202,199.9999999999998
0.0025,4000,0.0985,0.0086040412348235,394.0
0.003,2000,0.197,0.01811725341494619,394.0
0.0035,2000,0.361,0.03663306068521166,722.0
0.004,2000,0.538,0.06232249368583764,1076.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 98000 0.0020510204081632 0.00017107925018833292 200.9999999999936
3 0.0015 18000 0.0115 0.0009634219750452866 207.0
4 0.002 6000 0.0333333333333333 0.0028211423839156202 199.9999999999998
5 0.0025 4000 0.0985 0.0086040412348235 394.0
6 0.003 2000 0.197 0.01811725341494619 394.0
7 0.0035 2000 0.361 0.03663306068521166 722.0
8 0.004 2000 0.538 0.06232249368583764 1076.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00024,2.0002200337376763e-05,24.0
0.0015,100000,0.00194,0.00016181059369868578,194.0
0.002,22000,0.009090909090909,0.000760750779222108,199.999999999998
0.0025,6000,0.0346666666666666,0.002935833167148738,207.9999999999996
0.003,4000,0.09,0.007828420342483211,360.0
0.0035,2000,0.187,0.01710405023748829,374.0
0.004,2000,0.3445,0.03458422416587814,689.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00024 2.0002200337376763e-05 24.0
3 0.0015 100000 0.00194 0.00016181059369868578 194.0
4 0.002 22000 0.009090909090909 0.000760750779222108 199.999999999998
5 0.0025 6000 0.0346666666666666 0.002935833167148738 207.9999999999996
6 0.003 4000 0.09 0.007828420342483211 360.0
7 0.0035 2000 0.187 0.01710405023748829 374.0
8 0.004 2000 0.3445 0.03458422416587814 689.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00015,1.250085945736501e-05,14.999999999999998
0.0015,100000,0.00108,9.004458076378175e-05,108.0
0.002,36000,0.0058333333333333,0.00048741564756138445,209.99999999999878
0.0025,10000,0.0225,0.0018946185336699006,225.0
0.003,4000,0.06475,0.005562919817044598,259.0
0.0035,2000,0.1545,0.013888248487303967,309.0
0.004,2000,0.2785,0.02683526844480888,557.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00015 1.250085945736501e-05 14.999999999999998
3 0.0015 100000 0.00108 9.004458076378175e-05 108.0
4 0.002 36000 0.0058333333333333 0.00048741564756138445 209.99999999999878
5 0.0025 10000 0.0225 0.0018946185336699006 225.0
6 0.003 4000 0.06475 0.005562919817044598 259.0
7 0.0035 2000 0.1545 0.013888248487303967 309.0
8 0.004 2000 0.2785 0.02683526844480888 557.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.308,0.030214898570101067,616.0
0.0015,2000,0.514,0.05835684066887714,1028.0
0.002,2000,0.714,0.09905730265445356,1428.0
0.0025,2000,0.826,0.13560461931062395,1652.0
0.003,2000,0.917,0.18731325885596906,1834.0
0.0035,2000,0.968,0.24936438748913048,1936.0
0.004,2000,0.9815,0.28287040764687243,1963.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.308 0.030214898570101067 616.0
3 0.0015 2000 0.514 0.05835684066887714 1028.0
4 0.002 2000 0.714 0.09905730265445356 1428.0
5 0.0025 2000 0.826 0.13560461931062395 1652.0
6 0.003 2000 0.917 0.18731325885596906 1834.0
7 0.0035 2000 0.968 0.24936438748913048 1936.0
8 0.004 2000 0.9815 0.28287040764687243 1963.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00116,9.671809923239572e-05,116.0
0.0015,30000,0.0067,0.0005600552572093687,201.0
0.002,10000,0.0216,0.0018180698558927233,216.0
0.0025,4000,0.07625,0.006587689298086841,305.0
0.003,2000,0.151,0.01354871960160986,302.0
0.0035,2000,0.299,0.029170044726508193,598.0
0.004,2000,0.449,0.04845506933740451,898.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00116 9.671809923239572e-05 116.0
3 0.0015 30000 0.0067 0.0005600552572093687 201.0
4 0.002 10000 0.0216 0.0018180698558927233 216.0
5 0.0025 4000 0.07625 0.006587689298086841 305.0
6 0.003 2000 0.151 0.01354871960160986 302.0
7 0.0035 2000 0.299 0.029170044726508193 598.0
8 0.004 2000 0.449 0.04845506933740451 898.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00029,2.4169879414670525e-05,29.0
0.0015,100000,0.00166,0.0001384386937017812,166.0
0.002,26000,0.008,0.0006691236782786492,208.0
0.0025,8000,0.030125,0.002545760854709589,241.0
0.003,4000,0.0815,0.0070594123157259325,326.0
0.0035,2000,0.185,0.016902781385057408,370.0
0.004,2000,0.316,0.03115416825283479,632.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00029 2.4169879414670525e-05 29.0
3 0.0015 100000 0.00166 0.0001384386937017812 166.0
4 0.002 26000 0.008 0.0006691236782786492 208.0
5 0.0025 8000 0.030125 0.002545760854709589 241.0
6 0.003 4000 0.0815 0.0070594123157259325 326.0
7 0.0035 2000 0.185 0.016902781385057408 370.0
8 0.004 2000 0.316 0.03115416825283479 632.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00039,3.250581082292481e-05,39.0
0.0015,84000,0.0023809523809523,0.00019862955014460226,199.9999999999932
0.002,22000,0.0093181818181818,0.0007798513967101073,204.9999999999996
0.0025,6000,0.0348333333333333,0.002950179723826829,208.9999999999998
0.003,2000,0.102,0.008925364554660087,204.0
0.0035,2000,0.2065,0.01909056713578361,413.0
0.004,2000,0.37,0.0377711386183186,740.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00039 3.250581082292481e-05 39.0
3 0.0015 84000 0.0023809523809523 0.00019862955014460226 199.9999999999932
4 0.002 22000 0.0093181818181818 0.0007798513967101073 204.9999999999996
5 0.0025 6000 0.0348333333333333 0.002950179723826829 208.9999999999998
6 0.003 2000 0.102 0.008925364554660087 204.0
7 0.0035 2000 0.2065 0.01909056713578361 413.0
8 0.004 2000 0.37 0.0377711386183186 740.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00012,1.0000550042188472e-05,12.0
0.0015,100000,0.00088,7.33629277510639e-05,88.0
0.002,38000,0.0052894736842105,0.0004418617234457356,200.999999999999
0.0025,10000,0.0219,0.0018435789073465436,219.0
0.003,4000,0.062,0.005319578163374583,248.0
0.0035,2000,0.131,0.01163282218493733,262.0
0.004,2000,0.257,0.024451045518294245,514.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00012 1.0000550042188472e-05 12.0
3 0.0015 100000 0.00088 7.33629277510639e-05 88.0
4 0.002 38000 0.0052894736842105 0.0004418617234457356 200.999999999999
5 0.0025 10000 0.0219 0.0018435789073465436 219.0
6 0.003 4000 0.062 0.005319578163374583 248.0
7 0.0035 2000 0.131 0.01163282218493733 262.0
8 0.004 2000 0.257 0.024451045518294245 514.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,4000,0.05075,0.004330851353994247,203.0
0.0015,2000,0.132,0.011727652339530326,264.0
0.002,2000,0.2755,0.026498707449347236,551.0
0.0025,2000,0.4595,0.04997950426138209,919.0
0.003,2000,0.6445,0.08257627480494645,1289.0
0.0035,2000,0.793,0.12300416913096102,1586.0
0.004,2000,0.885,0.16492627327626752,1770.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 4000 0.05075 0.004330851353994247 203.0
3 0.0015 2000 0.132 0.011727652339530326 264.0
4 0.002 2000 0.2755 0.026498707449347236 551.0
5 0.0025 2000 0.4595 0.04997950426138209 919.0
6 0.003 2000 0.6445 0.08257627480494645 1289.0
7 0.0035 2000 0.793 0.12300416913096102 1586.0
8 0.004 2000 0.885 0.16492627327626752 1770.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,98000,0.0020510204081632,0.00017107925018833292,200.9999999999936
0.0015,18000,0.0115,0.0009634219750452866,207.0
0.002,6000,0.0333333333333333,0.0028211423839156202,199.9999999999998
0.0025,4000,0.0985,0.0086040412348235,394.0
0.003,2000,0.197,0.01811725341494619,394.0
0.0035,2000,0.361,0.03663306068521166,722.0
0.004,2000,0.538,0.06232249368583764,1076.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 98000 0.0020510204081632 0.00017107925018833292 200.9999999999936
3 0.0015 18000 0.0115 0.0009634219750452866 207.0
4 0.002 6000 0.0333333333333333 0.0028211423839156202 199.9999999999998
5 0.0025 4000 0.0985 0.0086040412348235 394.0
6 0.003 2000 0.197 0.01811725341494619 394.0
7 0.0035 2000 0.361 0.03663306068521166 722.0
8 0.004 2000 0.538 0.06232249368583764 1076.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00024,2.0002200337376763e-05,24.0
0.0015,100000,0.00194,0.00016181059369868578,194.0
0.002,22000,0.009090909090909,0.000760750779222108,199.999999999998
0.0025,6000,0.0346666666666666,0.002935833167148738,207.9999999999996
0.003,4000,0.09,0.007828420342483211,360.0
0.0035,2000,0.187,0.01710405023748829,374.0
0.004,2000,0.3445,0.03458422416587814,689.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00024 2.0002200337376763e-05 24.0
3 0.0015 100000 0.00194 0.00016181059369868578 194.0
4 0.002 22000 0.009090909090909 0.000760750779222108 199.999999999998
5 0.0025 6000 0.0346666666666666 0.002935833167148738 207.9999999999996
6 0.003 4000 0.09 0.007828420342483211 360.0
7 0.0035 2000 0.187 0.01710405023748829 374.0
8 0.004 2000 0.3445 0.03458422416587814 689.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,12000,0.0191666666666666,0.0016114276303286212,229.9999999999992
0.0015,4000,0.05425,0.004637298994396022,217.0
0.002,2000,0.1165,0.010268909922777514,233.0
0.0025,2000,0.247,0.023363582145232598,494.0
0.003,2000,0.413,0.043423204149927286,826.0
0.0035,2000,0.5825,0.0702032153965203,1165.0
0.004,2000,0.731,0.10364642146523362,1462.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 12000 0.0191666666666666 0.0016114276303286212 229.9999999999992
3 0.0015 4000 0.05425 0.004637298994396022 217.0
4 0.002 2000 0.1165 0.010268909922777514 233.0
5 0.0025 2000 0.247 0.023363582145232598 494.0
6 0.003 2000 0.413 0.043423204149927286 826.0
7 0.0035 2000 0.5825 0.0702032153965203 1165.0
8 0.004 2000 0.731 0.10364642146523362 1462.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,2000,0.308,0.030214898570101067,616.0
0.0015,2000,0.514,0.05835684066887714,1028.0
0.002,2000,0.714,0.09905730265445356,1428.0
0.0025,2000,0.826,0.13560461931062395,1652.0
0.003,2000,0.917,0.18731325885596906,1834.0
0.0035,2000,0.968,0.24936438748913048,1936.0
0.004,2000,0.9815,0.28287040764687243,1963.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 2000 0.308 0.030214898570101067 616.0
3 0.0015 2000 0.514 0.05835684066887714 1028.0
4 0.002 2000 0.714 0.09905730265445356 1428.0
5 0.0025 2000 0.826 0.13560461931062395 1652.0
6 0.003 2000 0.917 0.18731325885596906 1834.0
7 0.0035 2000 0.968 0.24936438748913048 1936.0
8 0.004 2000 0.9815 0.28287040764687243 1963.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,100000,0.00116,9.671809923239572e-05,116.0
0.0015,30000,0.0067,0.0005600552572093687,201.0
0.002,10000,0.0216,0.0018180698558927233,216.0
0.0025,4000,0.07625,0.006587689298086841,305.0
0.003,2000,0.151,0.01354871960160986,302.0
0.0035,2000,0.299,0.029170044726508193,598.0
0.004,2000,0.449,0.04845506933740451,898.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 100000 0.00116 9.671809923239572e-05 116.0
3 0.0015 30000 0.0067 0.0005600552572093687 201.0
4 0.002 10000 0.0216 0.0018180698558927233 216.0
5 0.0025 4000 0.07625 0.006587689298086841 305.0
6 0.003 2000 0.151 0.01354871960160986 302.0
7 0.0035 2000 0.299 0.029170044726508193 598.0
8 0.004 2000 0.449 0.04845506933740451 898.0

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physical_p,num_trials,LER,LER_per_round,num_errors
0.001,20000,0.0101,0.0008455882099889234,202.0
0.0015,8000,0.0325,0.0027495342607679607,260.0
0.002,4000,0.06525,0.005607234208600653,261.0
0.0025,2000,0.1635,0.014767274866622548,327.0
0.003,2000,0.271,0.025996253574703254,542.0
0.0035,2000,0.433,0.04618256897389805,866.0
0.004,2000,0.5775,0.06928032934674533,1155.0
1 physical_p num_trials LER LER_per_round num_errors
2 0.001 20000 0.0101 0.0008455882099889234 202.0
3 0.0015 8000 0.0325 0.0027495342607679607 260.0
4 0.002 4000 0.06525 0.005607234208600653 261.0
5 0.0025 2000 0.1635 0.014767274866622548 327.0
6 0.003 2000 0.271 0.025996253574703254 542.0
7 0.0035 2000 0.433 0.04618256897389805 866.0
8 0.004 2000 0.5775 0.06928032934674533 1155.0