Provably efficient machine learning for quantum many-body problems (old version)

doi:10.5281/zenodo.6525801

Published May 6, 2022 | Version v1

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Provably efficient machine learning for quantum many-body problems (old version)

Huang, Hsin-Yuan¹

1. Caltech

Raw data for the manuscript "Provably efficient machine learning for quantum many-body problems".

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Fig. 10 (Left)-Data for Fig. 10 (Left): RMSE is then averaged over the different properties.csv

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Fig. 10 (Left)-Data for Fig. 10 (Left): RMSE is then averaged over the different properties.csv md5:ce324a4533d924e58a17719aabbd2ca4	90.7 kB	Preview Download
Fig. 10 (Right)-Data for Fig. 10 (Right): RMSE is then averaged over the different properties.csv md5:8422d70d87321f1efe4fec804fffb345	80.4 kB	Preview Download
Fig. 11 (Left)-Data for Fig. 11 (Left): RMSE is then averaged over the different properties.csv md5:867d15179a6282f4fd5717fb0aea743b	645.3 kB	Preview Download
Fig. 11 (Right)-Data for Fig. 11 (Right): RMSE is then averaged over the different properties.csv md5:e72adee1550429c7cc0f05f46670af1f	508.0 kB	Preview Download
Fig. 2b-Data for Fig. 2(b).csv md5:b67160e54e953015ff2ae73d34684c98	6.9 kB	Preview Download
Fig. 2c-Data for Fig. 2(c) is a subset of the data for Fig. 6 and Fig. 7.csv md5:c032dcf564bf58a665e76c6e57608228	8 Bytes	Preview Download
Fig. 3a-Data for Fig. 3(a): Showing the exact value for the Jij.csv md5:f10729635ba1347d9fd9156e11f65802	594 Bytes	Preview Download
Fig. 3b-Data for Fig. 3(b).csv md5:26f6e90f7ca4e3a0454d5df5b4d05071	31.4 kB	Preview Download
Fig. 3c-Data for Fig. 3(c).csv md5:b99b808b46ca72016e85504da458266a	466.1 kB	Preview Download
Fig. 4c-Data for Fig. 4(c).csv md5:533a4c252168c0df5335c48371b47c26	1.2 kB	Preview Download
Fig. 4d-Data for Fig. 4(d).csv md5:fac76bb15bcb7a785d2ff0fe7648b0f6	1.2 kB	Preview Download
Fig. 5b-Data for Fig. 5(b).csv md5:59d76348c9d37f0c00c388f751a39d86	37.6 kB	Preview Download
Fig. 5c-Data for Fig. 5(c).csv md5:ae108342d1e1585007b8a930a932339a	11.9 kB	Preview Download
Fig. 6,7,8-Data for Fig. 6, 7, 8.csv md5:526aa62c771febfd3ecf04e252852350	17.8 kB	Preview Download
Fig. 9a-Data for Fig. 9(a); showing the ordered matrix (The randomly mixed matrix on the left is created by randomly permuting the indices).csv md5:f7a0ba934f20f8f634e6b181f9514b25	75.4 kB	Preview Download
Fig. 9b-Data for Fig. 9(b).csv md5:2d718d3b702c90cc41853cb2151a8d70	2.3 kB	Preview Download
Fig. 9c-Data for Fig. 9(c); showing the ordered matrix (The randomly mixed matrix on the left is created by randomly permuting the indices).csv md5:32a8a47b1f66c3fffc460bb6fba6a99b	75.3 kB	Preview Download
Fig. 9d-Data for Fig. 9(d).csv md5:1b7c1ff2f05aa58634a2d4ffd3dc8946	2.4 kB	Preview Download

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Provably efficient machine learning for quantum many-body problems (old version)

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Fig. 10 (Left)-Data for Fig. 10 (Left): RMSE is then averaged over the different properties.csv

Files (2.1 MB)