Imaginary components of out-of-time-order correlator and information scrambling for navigating the learning landscape of a quantum machine learning model-Reference-Cited by-同舟云学术

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Imaginary components of out-of-time-order correlator and information scrambling for navigating the learning landscape of a quantum machine learning model

Published:2023-02-27 Issue:1 Volume:5 Page:
ISSN:2643-1564
Container-title:Physical Review Research
language:en
Short-container-title:Phys. Rev. Research

Author:

Sajjan Manas^ORCID,Singh Vinit^ORCID,Selvarajan Raja,Kais Sabre^ORCID

Funder

U.S. Department of Energy

National Science Foundation

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.5.013146/fulltext

Reference90 articles.

1. Machine Learning: Algorithms, Real-World Applications and Research Directions

2. Machine Learning Paradigms

3. Machine learning and the physical sciences

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3. Designing Variational Ansatz for Quantum‐Enabled Simulation of Non‐Unitary Dynamical Evolution ‐ An Excursion into Dicke Supperradiance;Advanced Quantum Technologies;2024-04-29

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