Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8951
Title: Benchmarking discrete truncated Wigner approximation and neural network quantum states with the exact dynamics in a Rydberg atomic chain
Authors: SHENOY, VARNA
NAIK, VIGHNESH DATTATRAYA
Li, Weibin
NATH, REJISH
Dept. of Physics
Keywords: Physics
2024
2024-MAY-WEEK3
TOC-MAY-2024
Issue Date: Jun-2024
Publisher: IOP Publishing Ltd
Citation: Physica Scripta, 99(06).
Abstract: We benchmark the discrete truncated Wigner approximation (DTWA) and Neural quantum states (NQS) based on restricted Boltzmann-like machines with the exact excitation and correlation dynamics in a chain of ten Rydberg atoms. The initial state is where all atoms are in their electronic ground state. We characterize the excitation dynamics using the maximum and time-averaged number of Rydberg excitations. DTWA results are different from the exact dynamics for large Rydberg-Rydberg interactions. In contrast, by increasing the number of hidden spins, the NQS can be improved but still limited to short-time dynamics. Interestingly, irrespective of interaction strengths, the time-averaged number of excitations obtained using NQS is in excellent agreement with the exact results. Concerning the calculation of quantum correlations, for instance, second-order bipartite and average two-site Rényi entropies, NQS looks more promising. Finally, we discuss the existence of a power law scaling for the initial growth of average two-site Rényi entropy.
URI: https://doi.org/10.1088/1402-4896/ad3d9d
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8951
ISSN: 1402-4896
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