Beyond-classical computation in quantum simulation

This data repository is intended to support the findings of the research article 'Beyond-classical performance in quantum simulation'.

v2 has a corrected annealing schedule ADV1.csv and explanation in the README.

v2 removed correlations for 5x5x8 diamond at 7ns, which are not converged for MPS and were erroneously included in v1.

v3 has additional QPU data for large instances, as well as PEPS data and NQS data.

v4 (this version) has harmonized title and funding information.

Funding: Work at UBC was supported by Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance Quantum Program (Grant ALLRP-578555), CIFAR and the Canada First Research Excellence Fund, Quantum Materials and Future Technologies Program. A.N. acknowledges the support of computational resources from the Advanced Research Computing at the University of British Columbia. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. G.A. acknowledges support from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Science Center. This research was supported in part by the National Science Centre (NCN), Poland under projects 2019/35/B/ST3/01028 (J.D.) and 2020/38/E/ST3/00150 (M.M.R.). R.G.M. was supported by NSERC. Research at Perimeter Institute is supported in part by the Government of Canada through the Department of Innovation, Science and Economic Development Canada and by the Province of Ontario through the Ministry of Economic Development, Job Creation and Trade. J. Carrasquilla acknowledges support of NSERC, Compute Canada, and the Canadian Institute for Advanced Research (CIFAR) AI chair program. Resources used in preparing this research were provided, in part, by the Province of Ontario, the Government of Canada through CIFAR, and companies sponsoring the Vector Institute  www.vectorinstitute.ai/#partners . A. Sandvik acknowledges support from the Simons Foundation, Grant No. 511064.