runMode: serial
maxCount: 10000
repeat: 1
LOCheck: 0
dataset: stim_circuit
datafile: 01_surfacecodes
method: dist_m4ri_RW
ignoreTrivialCodes: 1
resume: 0
nMin: 1
nMax: 100000
iterCount: 10000
maxTime: 28800
nThreads: 1
verbose: False
maxErr: -1
GF4blockRep: 2
regroupPerm: 1
filterCircuit: 1
HL: 0
genCount: 100
offspring: 10
pMut: 2.0
sMut: 0.2
tabuLength: 0
swapPivot: 1
swapBlockorder: 0
pMutScale: 50
CCstart: -1
pySATsolver: g4
pySATbinary: lsu
addStabs: 0
permuteDEM: 1
outfile: /Users/markwebster/Dropbox/QuantumComputing/dev/codeDistance-main/examples/results/stim_circuit-01_surfacecodes-dist_m4ri_RW-20260304_085623.931043_85062422.txt
#########################################
name	n	k	d	delta d	Time	R	T	Progress
01_r=3,d=3,p=0.0005,noise=si1000,c=surface_code_Z,q=17,gates=cz.stim	17	1	3	3	0.402330584009178	1	1	# step=0 row=0 minW=56 found cw of W=4: [1 2 6 23]\n# step=0 row=21 minW=4 found cw of W=3: [21 23 33]\n# round=1000 of 10000 minW=3\n# round=2000 of 10000 minW=3\n# round=3000 of 10000 minW=3\n# round=4000 of 10000 minW=3\n# round=5000 of 10000 minW=3\n# round=6000 of 10000 minW=3\n# round=7000 of 10000 minW=3\n# round=8000 of 10000 minW=3\n# round=9000 of 10000 minW=3\n# round=10000 of 10000 minW=3\nRW algorithm upper bound for the distance d=3\n
02_r=5,d=5,p=0.0005,noise=si1000,c=surface_code_Z,q=49,gates=cz.stim	49	1	5	5	0.28578454098897055	1	1	# step=0 row=2 minW=386 found cw of W=9: [5 6 13 18 20 81 90 134 164]\n# step=0 row=9 minW=9 found cw of W=8: [13 14 18 20 81 90 134 164]\n# step=0 row=14 minW=8 found cw of W=5: [22 25 90 134 164]\n# round=1000 of 10000 minW=5\n# round=2000 of 10000 minW=5\n# round=3000 of 10000 minW=5\n# round=4000 of 10000 minW=5\n# round=5000 of 10000 minW=5\n# round=6000 of 10000 minW=5\n# round=7000 of 10000 minW=5\n# round=8000 of 10000 minW=5\n# round=9000 of 10000 minW=5\n# round=10000 of 10000 minW=5\nRW algorithm upper bound for the distance d=5\n
03_r=7,d=7,p=0.0005,noise=si1000,c=surface_code_Z,q=97,gates=cz.stim	97	1	0	0	0.15232349999132566	1	1	
04_r=9,d=9,p=0.0005,noise=si1000,c=surface_code_Z,q=161,gates=cz.stim	161	1	9	9	4.327588000014657	1	1	# step=0 row=2 minW=2530 found cw of W=14: [7 9 22 33 35 38 290 297 331 335 569 585 589 590]\n# step=0 row=14 minW=14 found cw of W=9: [22 23 33 35 38 45 76 297 331]\n# round=1000 of 10000 minW=9\n# round=2000 of 10000 minW=9\n# round=3000 of 10000 minW=9\n# round=4000 of 10000 minW=9\n# round=5000 of 10000 minW=9\n# round=6000 of 10000 minW=9\n# round=7000 of 10000 minW=9\n# round=8000 of 10000 minW=9\n# round=9000 of 10000 minW=9\n# round=10000 of 10000 minW=9\nRW algorithm upper bound for the distance d=9\n
05_r=11,d=11,p=0.0005,noise=si1000,c=surface_code_Z,q=241,gates=cz.stim	241	1	11	11	12.991261541988933	1	1	# step=0 row=2 minW=4742 found cw of W=19: [4 6 22 432 437 449 543 545 763 868 917 953 1186 1209 1355 1632 1642 1643 1783]\n# step=0 row=9 minW=19 found cw of W=18: [16 19 41 75 108 514 543 545 913 917 953 1197 1209 1355 1632 1642 1643 1783]\n# step=0 row=155 minW=18 found cw of W=14: [203 205 233 256 259 267 300 385 392 393 394 404 616 727]\n# step=0 row=863 minW=14 found cw of W=11: [392 393 394 616 655 816 1034 1441 1642 1643 1652]\n# round=1000 of 10000 minW=11\n# round=2000 of 10000 minW=11\n# round=3000 of 10000 minW=11\n# round=4000 of 10000 minW=11\n# round=5000 of 10000 minW=11\n# round=6000 of 10000 minW=11\n# round=7000 of 10000 minW=11\n# round=8000 of 10000 minW=11\n# round=9000 of 10000 minW=11\n# round=10000 of 10000 minW=11\nRW algorithm upper bound for the distance d=11\n
