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Estimating truncation effects of quantum bosonic systems using sampling algorithms
April 3, 2024, 4:43 a.m. | Masanori Hanada, Junyu Liu, Enrico Rinaldi, Masaki Tezuka
cs.LG updates on arXiv.org arxiv.org
Abstract: To simulate bosons on a qubit- or qudit-based quantum computer, one has to regularize the theory by truncating infinite-dimensional local Hilbert spaces to finite dimensions. In the search for practical quantum applications, it is important to know how big the truncation errors can be. In general, it is not easy to estimate errors unless we have a good quantum computer. In this paper, we show that traditional sampling methods on classical devices, specifically Markov Chain …
abstract algorithms applications arxiv big computer cs.ai cs.lg dimensions effects errors hep-lat hep-th practical quant-ph quantum quantum computer qubit sampling search spaces systems theory type
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