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Merge pull request #46 from ChitambarLab/processing-nodes-feature
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Processing nodes feature
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@bdoolittle
bdoolittle authored Nov 17, 2022
2 parents e1e3b45 + 711e1ae commit 2a69613
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2 changes: 1 addition & 1 deletion CITATION.bib
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Expand Up @@ -3,7 +3,7 @@ @misc{qNetVO
title = {qNetVO: the Quantum Network Variational Optimizer},
howpublished = {\url{https://github.com/ChitambarLab/qNetVO}},
url = {https://github.com/ChitambarLab/qNetVO},
version = {v0.1.4},
version = {v0.3.0},
year = {2022},
month = {March},
doi = {10.5281/zenodo.6345834},
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -48,7 +48,7 @@ Note
</p>
<p>
For optimal use, qNetVO should be used with PennyLane.
QNetVO is currently compatible with PennyLane v0.26.
QNetVO is currently compatible with PennyLane v0.27.
</p>
</div>

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64 changes: 36 additions & 28 deletions demos/magic_squares_game_optimization.ipynb
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Expand Up @@ -104,8 +104,8 @@
"output_type": "stream",
"text": [
"opt score : 0.8888798713795557\n",
"CPU times: user 42.5 s, sys: 183 ms, total: 42.6 s\n",
"Wall time: 42.9 s\n"
"CPU times: user 57.9 s, sys: 777 ms, total: 58.7 s\n",
"Wall time: 1min\n"
]
}
],
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"output_type": "stream",
"text": [
"opt score : 0.9552447018371052\n",
"CPU times: user 41.7 s, sys: 64.9 ms, total: 41.8 s\n",
"Wall time: 41.8 s\n"
"CPU times: user 1min 14s, sys: 1.11 s, total: 1min 15s\n",
"Wall time: 1min 18s\n"
]
}
],
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"output_type": "stream",
"text": [
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"CPU times: user 45.3 s, sys: 154 ms, total: 45.4 s\n",
"Wall time: 45.6 s\n"
"CPU times: user 53.5 s, sys: 293 ms, total: 53.8 s\n",
"Wall time: 54 s\n"
]
}
],
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"output_type": "stream",
"text": [
"opt score : 0.9998940339308672\n",
"CPU times: user 44.3 s, sys: 236 ms, total: 44.6 s\n",
"Wall time: 44.9 s\n"
"CPU times: user 46.8 s, sys: 235 ms, total: 47 s\n",
"Wall time: 47.4 s\n"
]
}
],
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"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "debb82c5",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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102 changes: 51 additions & 51 deletions demos/mermin-klyshko_nonlocality_optimization.ipynb
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Expand Up @@ -103,23 +103,23 @@
"quantum bound : 8.0 \n",
"\n",
"classical optimzation\n",
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"max score : 3.9997376080773637\n",
"\n",
"quantum optimization\n",
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]
}
],
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"quantum bound : 22.627416997969522 \n",
"\n",
"classical\n",
"iteration : 0 , score : -0.10021150911505239\n",
"elapsed time : 0.07665300369262695\n",
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"elapsed time : 0.10307717323303223\n",
"max score 7.996102513699257\n",
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"iteration : 15 , score : 7.999999998625014\n",
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"max score 7.999999999991739\n",
"\n",
"quantum optimization\n",
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"max score : 22.627416997961234\n",
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]
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"\n",
"classical optimization\n",
"iteration : 0 , score : 5.022995939689165\n",
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"iteration : 5 , score : 15.904093925941835\n",
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"elapsed time : 0.1396007537841797\n",
"max score : 15.990299319049566\n",
"\n",
"quantum optimization\n",
"iteration : 0 , score : -30.816320489400397\n",
"elapsed time : 0.1145029067993164\n",
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"iteration : 7 , score : 28.41431365691741\n",
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"iteration : 14 , score : 63.60623389257651\n",
"elapsed time : 0.10725879669189453\n",
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"iteration : 21 , score : 63.99820398612704\n",
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"iteration : 28 , score : 63.99999188193693\n",
"elapsed time : 0.10921216011047363\n",
"elapsed time : 0.14500212669372559\n",
"max score : 63.99999996330749\n",
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]
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"\n",
"classical optimziation\n",
"iteration : 0 , score : 4.2033679594592765\n",
"elapsed time : 0.5753090381622314\n",
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"elapsed time : 0.7105286121368408\n",
"iteration : 10 , score : 31.926902578106233\n",
"elapsed time : 0.4852778911590576\n",
"elapsed time : 0.6552371978759766\n",
"max score : 31.973110623871396\n",
"\n",
"quantum optimization\n",
"iteration : 0 , score : 91.75782099682029\n",
"elapsed time : 0.5629787445068359\n",
"elapsed time : 0.6196279525756836\n",
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"elapsed time : 0.6625587940216064\n",
"iteration : 10 , score : 180.99226193770355\n",
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"iteration : 15 , score : 181.01902889455243\n",
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"max score : 181.0192234215522\n",
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]
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"\n",
"classical optimziation\n",
"iteration : 0 , score : -3.4948874818977407\n",
"elapsed time : 0.548940896987915\n",
"elapsed time : 0.847909688949585\n",
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"iteration : 15 , score : 56.608638814998166\n",
"elapsed time : 0.7158291339874268\n",
"elapsed time : 0.9868419170379639\n",
"max score : 63.99978211246262\n",
"\n",
"quantum optimization\n",
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"elapsed time : 0.6466021537780762\n",
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"elapsed time : 1.0648231506347656\n",
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]
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