| Jahr | 2019 |
| Autor(en) | Stefanie Czischek and Jan M. Pawlowski and Thomas Gasenzer and Gärttner, Martin |
| Titel | Sampling scheme for neuromorphic simulation of entangled quantum systems |
| KIP-Nummer | HD-KIP 19-60 |
| KIP-Gruppe(n) | F27,F30 |
| Dokumentart | Paper |
| Keywords (angezeigt) | Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks |
| Quelle | arXiv:1907.12844 [quant-ph] |
| Abstract (en) | Due to the complexity of the space of quantum many-body states the computation of expectation values by statistical sampling is, in general, a hard task. Neural network representations of such quantum states which can be physically implemented by neuromorphic hardware could enable efficient sampling. A scheme is proposed which leverages this capability to speed up sampling from so-called neural quantum states encoded by a restricted Boltzmann machine. Due to the complex network parameters a direct hardware implementation is not feasible. We overcome this problem by considering a phase reweighting scheme for sampling expectation values of observables. Applying our method to a set of paradigmatic entangled quantum states we find that, in general, the phase-reweighted sampling is subject to a form of sign problem, which renders the sampling computationally costly. The use of neuromorphic chips could allow reducing computation times and thereby extend the range of tractable system sizes. |
| bibtex | @article{2019arXiv190712844C,
author = {{Czischek}, Stefanie and {Pawlowski}, Jan M. and {Gasenzer}, Thomas and {G{\"a}rttner}, Martin},
title = {{Sampling scheme for neuromorphic simulation of entangled quantum systems}},
journal = {arXiv:1907.12844 [quant-ph]},
year = {2019},
volume = {},
pages = {},
month = {Jul},
url = {https://arxiv.org/abs/1907.12844}
} |
| Datei | |
| URL | arXiv:1907.12844 [quant-ph] |
