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Extreme Dimensionality Reduction with Quantum Modeling

Published:2020-12-22 Issue:26 Volume:125 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Elliott Thomas J.^ORCID,Yang Chengran^ORCID,Binder Felix C.^ORCID,Garner Andrew J. P.^ORCID,Thompson Jayne^ORCID,Gu Mile^ORCID

Funder

Imperial College London

Foundational Questions Institute

Ministry of Education - Singapore

National Research Foundation Singapore

Agence Nationale de la Recherche

H2020 Marie Skłodowska-Curie Actions

Federal Ministry of Education, Science and Research

Lee Kuan Yew Endowment Fund

Fetzer Franklin Fund

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.125.260501/fulltext

Reference57 articles.

1. Causal Asymmetry in a Quantum World

2. Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes

3. Optimal stochastic modeling with unitary quantum dynamics

4. Dimensional Quantum Memory Advantage in the Simulation of Stochastic Processes

5. Quantum learning of classical stochastic processes: The completely positive realization problem

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1. Optimization of Time-Ordered Processes in the Finite and Asymptotic Regimes;PRX Quantum;2024-06-03

2. Accuracy vs memory advantage in the quantum simulation of stochastic processes;Machine Learning: Science and Technology;2024-05-09

3. Statistical Complexity of Quantum Learning;Advanced Quantum Technologies;2024-04-14

4. Utilising Dimensionality Reduction for Improved Data Analysis with Quantum Feature Learning;2024-04-09

5. Quantum physics cannot be captured by classical linear hidden variable theories even in the absence of entanglement;Frontiers in Physics;2024-02-29

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