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output.txt
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output.txt
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/Users/marcusedwards/anaconda3/envs/pennylane/bin/python3 /Applications/PyCharm.app/Contents/plugins/python/helpers/pydev/pydevd.py --multiproc --qt-support=auto --client 127.0.0.1 --port 63039 --file /Users/marcusedwards/Documents/Projects/QHack2024IRL/EfficientQuantumStateTomography.py
Connected to pydev debugger (build 212.5457.59)
Prepare a state:
[[0]
[1]]
With a density matrix:
[[0 0]
[0 1]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 1.+0.j 0.+0.j]
[ 0.+0.j 25.+0.j]]
Observed Bloch vectors:
[[0.02200000000000002, -0.08200000000000002, -1.0], [0.03200000000000003, 0.0020000000000000018, -1.0], [0.014000000000000012, -0.07400000000000001, -1.0], [-0.018000000000000016, -0.040000000000000036, -1.0], [-0.050000000000000044, 0.05600000000000005, -1.0], [-0.020000000000000018, -0.026000000000000023, -1.0], [0.0, 0.03400000000000003, -1.0], [0.0, 0.018000000000000016, -1.0], [-0.04200000000000004, 0.05600000000000005, -1.0], [-0.0040000000000000036, -0.03400000000000003, -1.0]]
Prepare a state:
[[0.+0.j]
[0.+1.j]]
With a density matrix:
[[0.+0.j 0.+0.j]
[0.+0.j 1.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 1.+0.j 0.+0.j]
[ 0.+0.j 25.+0.j]]
Observed Bloch vectors:
[[-0.03400000000000003, 0.04800000000000004, -1.0], [-0.020000000000000018, 0.07200000000000001, -1.0], [-0.038000000000000034, -0.028000000000000025, -1.0], [-0.008000000000000007, -0.03600000000000003, -1.0], [-0.050000000000000044, -0.020000000000000018, -1.0], [0.066, -0.016000000000000014, -1.0], [-0.020000000000000018, -0.02200000000000002, -1.0], [0.02200000000000002, -0.0020000000000000018, -1.0], [0.010000000000000009, -0.020000000000000018, -1.0], [-0.028000000000000025, -0.0020000000000000018, -1.0]]
Prepare a state:
[[1]
[0]]
With a density matrix:
[[1 0]
[0 0]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.018000000000000016, 0.040000000000000036, 1.0], [-0.0020000000000000018, -0.04400000000000004, 1.0], [0.0, 0.010000000000000009, 1.0], [0.04600000000000004, -0.01200000000000001, 1.0], [-0.04800000000000004, -0.010000000000000009, 1.0], [0.028000000000000025, 0.014000000000000012, 1.0], [0.006000000000000005, -0.014000000000000012, 1.0], [0.04200000000000004, 0.04200000000000004, 1.0], [-0.0020000000000000018, -0.038000000000000034, 1.0], [0.0020000000000000018, 0.0, 1.0]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 -0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675+0.40345348j]
[-0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974+10.08633692j]
[-20.35346974-10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.272, -0.8140000000000001, 0.518], [0.35400000000000004, -0.802, 0.48], [0.752, -0.34400000000000003, 0.556], [0.8200000000000001, 0.16599999999999998, 0.5760000000000001], [0.514, 0.714, 0.55], [-0.13599999999999995, 0.8420000000000001, 0.5720000000000001], [-0.5920000000000001, 0.6200000000000001, 0.516], [-0.8280000000000001, 0.10800000000000004, 0.546], [-0.708, -0.45399999999999996, 0.546], [-0.278, -0.77, 0.544]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 -0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675+0.40345348j]
[-0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974+10.08633692j]
[-20.35346974-10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.23399999999999999, -0.8240000000000001, 0.546], [0.38599999999999995, -0.77, 0.5640000000000001], [0.754, -0.342, 0.5760000000000001], [0.8340000000000001, 0.18999999999999995, 0.544], [0.536, 0.6699999999999999, 0.51], [-0.10400000000000004, 0.8480000000000001, 0.554], [-0.5680000000000001, 0.5780000000000001, 0.52], [-0.8440000000000001, 0.08000000000000002, 0.56], [-0.732, -0.474, 0.52], [-0.20199999999999996, -0.8280000000000001, 0.548]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 -0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675+0.40345348j]
[-0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974+10.08633692j]
[-20.35346974-10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.20799999999999996, -0.784, 0.56], [0.35600000000000004, -0.782, 0.544], [0.748, -0.35600000000000004, 0.536], [0.8520000000000001, 0.21799999999999997, 0.494], [0.56, 0.6699999999999999, 0.558], [-0.08600000000000002, 0.804, 0.52], [-0.5860000000000001, 0.5920000000000001, 0.55], [-0.8220000000000001, 0.08000000000000002, 0.522], [-0.6839999999999999, -0.45999999999999996, 0.5880000000000001], [-0.21599999999999997, -0.782, 0.5660000000000001]]
Prepare a state:
[[ 0.87758256+0.j]
[-0.47942554+0.j]]
With a density matrix:
[[ 0.77015115+0.j -0.42073549+0.j]
[-0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[30.57228697+0.j -0.19987917+0.j]
[-0.19987917+0.j 16.06472932+0.j]]
Observed Bloch vectors:
[[-0.804, 0.02400000000000002, 0.518], [-0.6259999999999999, -0.508, 0.538], [-0.15799999999999997, -0.8480000000000001, 0.53], [0.426, -0.728, 0.542], [0.794, -0.236, 0.5760000000000001], [0.79, 0.322, 0.53], [0.37400000000000005, 0.726, 0.534], [-0.12799999999999995, 0.8240000000000001, 0.556], [-0.6399999999999999, 0.5640000000000001, 0.522], [-0.8660000000000001, -0.03600000000000003, 0.514]]
Prepare a state:
[[ 0.87758256+0.j]
[-0.47942554+0.j]]
With a density matrix:
[[ 0.77015115+0.j -0.42073549+0.j]
[-0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[30.57228697+0.j -0.19987917+0.j]
[-0.19987917+0.j 16.06472932+0.j]]
Observed Bloch vectors:
[[-0.8340000000000001, 0.014000000000000012, 0.504], [-0.694, -0.6020000000000001, 0.52], [-0.20399999999999996, -0.808, 0.5720000000000001], [0.40599999999999997, -0.75, 0.528], [0.778, -0.268, 0.55], [0.8180000000000001, 0.264, 0.538], [0.428, 0.724, 0.512], [-0.15799999999999997, 0.8320000000000001, 0.5800000000000001], [-0.6439999999999999, 0.506, 0.48], [-0.8200000000000001, -0.018000000000000016, 0.534]]
Prepare a state:
[[ 0.87758256+0.j]
[-0.47942554+0.j]]
With a density matrix:
[[ 0.77015115+0.j -0.42073549+0.j]
[-0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[30.57228697+0.j -0.19987917+0.j]
[-0.19987917+0.j 16.06472932+0.j]]
Observed Bloch vectors:
[[-0.8480000000000001, 0.03600000000000003, 0.56], [-0.694, -0.5820000000000001, 0.5640000000000001], [-0.16599999999999998, -0.8600000000000001, 0.55], [0.41, -0.744, 0.53], [0.8220000000000001, -0.29200000000000004, 0.522], [0.81, 0.24, 0.532], [0.48, 0.712, 0.538], [-0.15999999999999998, 0.8220000000000001, 0.486], [-0.6739999999999999, 0.538, 0.544], [-0.8460000000000001, 0.040000000000000036, 0.536]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 +0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675-0.40345348j]
[-0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974-10.08633692j]
[-20.35346974+10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.248, 0.772, 0.552], [-0.6839999999999999, 0.474, 0.5820000000000001], [-0.8, -0.13199999999999995, 0.522], [-0.6020000000000001, -0.5820000000000001, 0.5900000000000001], [-0.08200000000000002, -0.8220000000000001, 0.538], [0.506, -0.6839999999999999, 0.5680000000000001], [0.8260000000000001, -0.14999999999999997, 0.542], [0.782, 0.334, 0.534], [0.35000000000000003, 0.81, 0.524], [-0.21799999999999997, 0.786, 0.534]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 +0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675-0.40345348j]
[-0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974-10.08633692j]
[-20.35346974+10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.238, 0.8180000000000001, 0.548], [-0.6839999999999999, 0.482, 0.542], [-0.8560000000000001, -0.11400000000000005, 0.518], [-0.6180000000000001, -0.6279999999999999, 0.5720000000000001], [0.0040000000000000036, -0.8360000000000001, 0.506], [0.484, -0.708, 0.524], [0.8160000000000001, -0.11800000000000005, 0.542], [0.784, 0.36400000000000005, 0.538], [0.31200000000000006, 0.758, 0.546], [-0.15799999999999997, 0.8360000000000001, 0.542]]
Prepare a state:
[[ 0.87758256+0.j ]
[-0.1359949 +0.45973279j]]
With a density matrix:
[[ 0.77015115+0.j -0.11934675-0.40345348j]
[-0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[ 2.88397781 +0.j -20.35346974-10.08633692j]
[-20.35346974+10.08633692j -11.62357983 +0.j ]]
Observed Bloch vectors:
[[-0.262, 0.81, 0.5860000000000001], [-0.706, 0.484, 0.51], [-0.794, -0.09000000000000002, 0.538], [-0.6160000000000001, -0.556, 0.522], [0.0, -0.8420000000000001, 0.542], [0.44799999999999995, -0.6599999999999999, 0.524], [0.8380000000000001, -0.184, 0.5800000000000001], [0.748, 0.33, 0.558], [0.30800000000000005, 0.798, 0.522], [-0.19799999999999995, 0.808, 0.54]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.020000000000000018, -0.008000000000000007, 1.0], [-0.008000000000000007, 0.020000000000000018, 1.0], [-0.050000000000000044, -0.010000000000000009, 1.0], [0.052000000000000046, 0.01200000000000001, 1.0], [0.038000000000000034, -0.014000000000000012, 1.0], [0.01200000000000001, 0.020000000000000018, 1.0], [-0.03600000000000003, 0.020000000000000018, 1.0], [0.0, 0.03200000000000003, 1.0], [0.020000000000000018, 0.030000000000000027, 1.0], [-0.0020000000000000018, 0.02200000000000002, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[0.062000000000000055, 0.010000000000000009, 1.0], [-0.068, 0.014000000000000012, 1.0], [-0.030000000000000027, 0.0040000000000000036, 1.0], [0.0040000000000000036, 0.0020000000000000018, 1.0], [0.02400000000000002, -0.01200000000000001, 1.0], [-0.028000000000000025, -0.04400000000000004, 1.0], [-0.04400000000000004, -0.026000000000000023, 1.0], [0.068, 0.0040000000000000036, 1.0], [0.0020000000000000018, -0.04800000000000004, 1.0], [-0.0040000000000000036, 0.0040000000000000036, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.03400000000000003, 0.030000000000000027, 1.0], [-0.038000000000000034, -0.030000000000000027, 1.0], [0.020000000000000018, -0.04400000000000004, 1.0], [-0.018000000000000016, 0.016000000000000014, 1.0], [0.010000000000000009, 0.02200000000000002, 1.0], [-0.02200000000000002, 0.026000000000000023, 1.0], [-0.01200000000000001, -0.04600000000000004, 1.0], [-0.018000000000000016, 0.020000000000000018, 1.0], [0.0, 0.038000000000000034, 1.0], [0.0020000000000000018, -0.010000000000000009, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.008000000000000007, -0.020000000000000018, 1.0], [-0.020000000000000018, -0.026000000000000023, 1.0], [0.0, -0.05800000000000005, 1.0], [-0.038000000000000034, 0.01200000000000001, 1.0], [0.010000000000000009, -0.030000000000000027, 1.0], [0.040000000000000036, 0.10600000000000004, 1.0], [-0.03600000000000003, 0.0020000000000000018, 1.0], [0.0020000000000000018, 0.026000000000000023, 1.0], [0.03400000000000003, 0.050000000000000044, 1.0], [-0.04200000000000004, -0.030000000000000027, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.016000000000000014, 0.0020000000000000018, 1.0], [0.006000000000000005, 0.028000000000000025, 1.0], [0.018000000000000016, 0.026000000000000023, 1.0], [0.01200000000000001, 0.016000000000000014, 1.0], [-0.020000000000000018, -0.0020000000000000018, 1.0], [-0.006000000000000005, -0.026000000000000023, 1.0], [0.018000000000000016, -0.0020000000000000018, 1.0], [-0.020000000000000018, 0.008000000000000007, 1.0], [-0.01200000000000001, 0.020000000000000018, 1.0], [0.01200000000000001, 0.0020000000000000018, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[0.014000000000000012, -0.03200000000000003, 1.0], [-0.02400000000000002, 0.0020000000000000018, 1.0], [0.02400000000000002, 0.066, 1.0], [-0.03200000000000003, -0.02200000000000002, 1.0], [0.020000000000000018, 0.010000000000000009, 1.0], [0.04600000000000004, -0.03200000000000003, 1.0], [-0.01200000000000001, 0.02400000000000002, 1.0], [-0.006000000000000005, -0.026000000000000023, 1.0], [-0.014000000000000012, -0.0040000000000000036, 1.0], [0.016000000000000014, -0.04200000000000004, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.038000000000000034, -0.028000000000000025, 1.0], [-0.0040000000000000036, -0.014000000000000012, 1.0], [0.04200000000000004, -0.018000000000000016, 1.0], [-0.028000000000000025, -0.01200000000000001, 1.0], [-0.04200000000000004, 0.04400000000000004, 1.0], [-0.03400000000000003, 0.008000000000000007, 1.0], [0.014000000000000012, 0.014000000000000012, 1.0], [0.028000000000000025, 0.010000000000000009, 1.0], [-0.016000000000000014, 0.04800000000000004, 1.0], [-0.040000000000000036, 0.008000000000000007, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.050000000000000044, -0.026000000000000023, 1.0], [0.038000000000000034, 0.010000000000000009, 1.0], [0.03200000000000003, 0.0040000000000000036, 1.0], [-0.03200000000000003, -0.008000000000000007, 1.0], [0.08800000000000002, 0.05800000000000005, 1.0], [-0.026000000000000023, -0.04600000000000004, 1.0], [-0.010000000000000009, -0.03600000000000003, 1.0], [0.018000000000000016, 0.006000000000000005, 1.0], [-0.052000000000000046, -0.0040000000000000036, 1.0], [-0.01200000000000001, 0.014000000000000012, 1.0]]
Prepare a state:
[[1.+0.j]
[0.+0.j]]
With a density matrix:
[[1.+0.j 0.+0.j]
[0.+0.j 0.+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[26.+0.j 0.+0.j]
[ 0.+0.j 0.+0.j]]
Observed Bloch vectors:
[[-0.020000000000000018, 0.08000000000000002, 1.0], [-0.05600000000000005, -0.0040000000000000036, 1.0], [0.026000000000000023, -0.040000000000000036, 1.0], [0.08000000000000002, 0.02400000000000002, 1.0], [-0.05600000000000005, 0.006000000000000005, 1.0], [0.040000000000000036, -0.08800000000000002, 1.0], [-0.038000000000000034, -0.014000000000000012, 1.0], [0.028000000000000025, 0.040000000000000036, 1.0], [-0.06000000000000005, -0.026000000000000023, 1.0], [-0.0020000000000000018, 0.064, 1.0]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 +0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675-0.40345348j]
[0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08-10.08633692j]
[2.47208805e+08+10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.248, 0.806, 0.514], [-0.334, 0.784, 0.562], [-0.74, 0.36000000000000004, 0.508], [-0.8140000000000001, -0.18799999999999994, 0.528], [-0.508, -0.6779999999999999, 0.556], [0.08200000000000002, -0.8540000000000001, 0.548], [0.5640000000000001, -0.6220000000000001, 0.514], [0.8220000000000001, -0.13599999999999995, 0.54], [0.7, 0.44199999999999995, 0.478], [0.24, 0.802, 0.524]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 +0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675-0.40345348j]
[0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08-10.08633692j]
[2.47208805e+08+10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.20399999999999996, 0.804, 0.5640000000000001], [-0.36000000000000004, 0.768, 0.514], [-0.768, 0.37799999999999995, 0.534], [-0.806, -0.20399999999999996, 0.5660000000000001], [-0.52, -0.6499999999999999, 0.5], [0.052000000000000046, -0.8400000000000001, 0.54], [0.5980000000000001, -0.5940000000000001, 0.538], [0.794, -0.11600000000000005, 0.544], [0.698, 0.5, 0.54], [0.246, 0.8240000000000001, 0.502]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 +0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675-0.40345348j]
[0.11934675+0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08-10.08633692j]
[2.47208805e+08+10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.272, 0.798, 0.532], [-0.30400000000000005, 0.782, 0.516], [-0.754, 0.334, 0.51], [-0.8180000000000001, -0.18, 0.55], [-0.49, -0.722, 0.556], [0.018000000000000016, -0.8400000000000001, 0.474], [0.548, -0.5980000000000001, 0.528], [0.8200000000000001, -0.08800000000000002, 0.518], [0.6639999999999999, 0.45799999999999996, 0.51], [0.20599999999999996, 0.792, 0.552]]
Prepare a state:
[[0.87758256+0.j]
[0.47942554+0.j]]
With a density matrix:
[[0.77015115+0.j 0.42073549+0.j]
[0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[10.32437259+0.j 0.58898107+0.j]
[ 0.58898107+0.j -4.18318506+0.j]]
Observed Bloch vectors:
[[0.8600000000000001, -0.0040000000000000036, 0.528], [0.6639999999999999, 0.5680000000000001, 0.54], [0.12799999999999995, 0.8520000000000001, 0.5700000000000001], [-0.432, 0.724, 0.556], [-0.772, 0.29200000000000004, 0.5780000000000001], [-0.8140000000000001, -0.28400000000000003, 0.562], [-0.432, -0.738, 0.542], [0.14799999999999996, -0.8220000000000001, 0.5800000000000001], [0.6779999999999999, -0.542, 0.45199999999999996], [0.8340000000000001, -0.018000000000000016, 0.5640000000000001]]
Prepare a state:
[[0.87758256+0.j]
[0.47942554+0.j]]
With a density matrix:
[[0.77015115+0.j 0.42073549+0.j]
[0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[10.32437259+0.j 0.58898107+0.j]
[ 0.58898107+0.j -4.18318506+0.j]]
Observed Bloch vectors:
[[0.8640000000000001, 0.02200000000000002, 0.504], [0.6160000000000001, 0.532, 0.53], [0.13399999999999995, 0.8520000000000001, 0.558], [-0.44999999999999996, 0.732, 0.558], [-0.762, 0.266, 0.544], [-0.776, -0.258, 0.5720000000000001], [-0.45599999999999996, -0.776, 0.55], [0.12200000000000005, -0.8380000000000001, 0.6100000000000001], [0.6859999999999999, -0.508, 0.5900000000000001], [0.8320000000000001, 0.062000000000000055, 0.558]]
Prepare a state:
[[0.87758256+0.j]
[0.47942554+0.j]]
With a density matrix:
[[0.77015115+0.j 0.42073549+0.j]
[0.42073549+0.j 0.22984885+0.j]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[10.32437259+0.j 0.58898107+0.j]
[ 0.58898107+0.j -4.18318506+0.j]]
Observed Bloch vectors:
[[0.8620000000000001, -0.07600000000000001, 0.5700000000000001], [0.6699999999999999, 0.536, 0.546], [0.10400000000000004, 0.8420000000000001, 0.542], [-0.412, 0.73, 0.508], [-0.762, 0.328, 0.542], [-0.776, -0.28600000000000003, 0.546], [-0.43799999999999994, -0.724, 0.554], [0.09000000000000002, -0.8160000000000001, 0.528], [0.6639999999999999, -0.538, 0.506], [0.8540000000000001, -0.030000000000000027, 0.54]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 -0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675+0.40345348j]
[0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08+10.08633692j]
[2.47208805e+08-10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.21599999999999997, -0.81, 0.534], [0.712, -0.45999999999999996, 0.516], [0.8420000000000001, 0.13399999999999995, 0.526], [0.556, 0.6060000000000001, 0.538], [0.07600000000000001, 0.8280000000000001, 0.508], [-0.5, 0.6739999999999999, 0.534], [-0.804, 0.266, 0.532], [-0.748, -0.328, 0.5820000000000001], [-0.262, -0.792, 0.56], [0.256, -0.798, 0.538]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 -0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675+0.40345348j]
[0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08+10.08633692j]
[2.47208805e+08-10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.258, -0.788, 0.544], [0.6779999999999999, -0.44199999999999995, 0.516], [0.8540000000000001, 0.0040000000000000036, 0.534], [0.548, 0.6000000000000001, 0.542], [0.08200000000000002, 0.8320000000000001, 0.548], [-0.516, 0.6819999999999999, 0.524], [-0.8160000000000001, 0.21799999999999997, 0.522], [-0.71, -0.37799999999999995, 0.554], [-0.31000000000000005, -0.742, 0.56], [0.21599999999999997, -0.8400000000000001, 0.56]]
Prepare a state:
[[0.87758256+0.j ]
[0.1359949 -0.45973279j]]
With a density matrix:
[[0.77015115+0.j 0.11934675+0.40345348j]
[0.11934675-0.40345348j 0.22984885+0.j ]]
The closest (un-normalized) Matrix Product State to our density matrix estimated with 50 steps:
[[2.47208822e+08 +0.j 2.47208805e+08+10.08633692j]
[2.47208805e+08-10.08633692j 2.47208808e+08 +0.j ]]
Observed Bloch vectors:
[[0.252, -0.762, 0.5780000000000001], [0.706, -0.44799999999999995, 0.518], [0.8220000000000001, 0.11200000000000004, 0.534], [0.526, 0.6080000000000001, 0.534], [0.066, 0.8360000000000001, 0.516], [-0.502, 0.6739999999999999, 0.534], [-0.8520000000000001, 0.23399999999999999, 0.5720000000000001], [-0.78, -0.38599999999999995, 0.5640000000000001], [-0.29400000000000004, -0.794, 0.556], [0.19599999999999995, -0.8220000000000001, 0.532]]
Process finished with exit code 130 (interrupted by signal 2: SIGINT)