Tangible reduction in learning sample complexity with large classical samples and small quantum system-Reference-Cited by-同舟云学术

Tangible reduction in learning sample complexity with large classical samples and small quantum system

Published:2021-08 Issue:8 Volume:20 Page:
ISSN:1570-0755
Container-title:Quantum Information Processing
language:en
Short-container-title:Quantum Inf Process

Author:

Song Wooyeong,Wieśniak Marcin^ORCID,Liu Nana,Pawłowski Marcin,Lee Jinhyoung,Kim Jaewan,Bang Jeongho^ORCID

Funder

Electronics and Telecommunications Research Institute

National Research Foundation of Korea

NCN grants

FNP grant

KIAS Advanced Research Program

KIAS Individual Grant

Ministry of Science, ICT and Future Planning

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Modeling and Simulation,Signal Processing,Theoretical Computer Science,Statistical and Nonlinear Physics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11128-021-03217-7.pdf

Reference37 articles.

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3. Harrow, A.W., Hassidim, A., Lloyd, S.: Quantum algorithm for linear systems of equations. Phys. Rev. Lett. 103, 150502 (2009)

4. Giovannetti, V., Lloyd, S., Maccone, L.: Quantum random access memory. Phys. Rev. Lett. 100, 160501 (2008)

5. Giovannetti, V., Lloyd, S., Maccone, L.: Architectures for a quantum random access memory. Phys. Rev. A 78, 052310 (2008)

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