Stokes, James and Chen, Brian and Veerapaneni, Shravan (2023) Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. Machine Learning: Science and Technology, 4 (2). 021001. ISSN 2632-2153
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Abstract
This article aims to summarize recent and ongoing efforts to simulate continuous-variable quantum systems using flow-based variational quantum Monte Carlo techniques, focusing for pedagogical purposes on the example of bosons in the field amplitude (quadrature) basis. Particular emphasis is placed on the variational real- and imaginary-time evolution problems, carefully reviewing the stochastic estimation of the time-dependent variational principles and their relationship with information geometry. Some practical instructions are provided to guide the implementation of a PyTorch code. The review is intended to be accessible to researchers interested in machine learning and quantum information science.
Item Type: | Article |
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Subjects: | Middle Asian Archive > Multidisciplinary |
Depositing User: | Managing Editor |
Date Deposited: | 13 Jul 2023 04:34 |
Last Modified: | 18 May 2024 08:56 |
URI: | http://library.eprintglobalarchived.com/id/eprint/1011 |