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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 |
Appears in Collections: | JOURNAL ARTICLES |
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