Machine Learning Transfer Efficiencies for Noisy Quantum Walks-Reference-Cited by-同舟云学术

Machine Learning Transfer Efficiencies for Noisy Quantum Walks

Published:2020-04 Issue:4 Volume:3 Page:1900115
ISSN:2511-9044
Container-title:Advanced Quantum Technologies
language:en
Short-container-title:Adv Quantum Tech

Author:

Melnikov Alexey A.¹²³^ORCID,Fedichkin Leonid E.²⁴,Lee Ray‐Kuang⁵⁶^ORCID,Alodjants Alexander¹

Affiliation:

1. ITMO UniversityKronverksky prospekt 49 197101 St. Petersburg Russia

2. Valiev Institute of Physics and TechnologyRussian Academy of SciencesNakhimovskii prospekt 36/1 117218 Moscow Russia

3. Department of PhysicsUniversity of BaselKlingelbergstrasse 82 4056 Basel Switzerland

4. Moscow Institute of Physics and TechnologyInstitutskii pereulok 9 141700 Dolgoprudny Moscow Region Russia

5. Physics DivisionNational Center for Theoretical Sciences30013 Hsinchu Taiwan

6. Institute of Photonics TechnologiesNational Tsing Hua University30013 Hsinchu Taiwan

Funder

Russian Foundation for Basic Research

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computational Theory and Mathematics,Condensed Matter Physics,Mathematical Physics,Nuclear and High Energy Physics,Electronic, Optical and Magnetic Materials,Statistical and Nonlinear Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qute.201900115

Reference43 articles.

1. Direct observation of hole transfer through DNA by hopping between adenine bases and by tunnelling

2. Coherence Dynamics in Photosynthesis: Protein Protection of Excitonic Coherence

3. Theoretical examination of quantum coherence in a photosynthetic system at physiological temperature

4. Long-lived quantum coherence in photosynthetic complexes at physiological temperature

5. Quantum computation and decision trees

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