Back Cover: Machine Learning Transfer Efficiencies for Noisy Quantum Walks (Adv. Quantum Technol. 4/2020). Issue 4 (15th April 2020)

• Record Type: Journal Article
• Authors: Melnikov, Alexey A.; Fedichkin, Leonid E.; Lee, Ray‐Kuang; Alodjants, Alexander
• Is Part Of: Advanced quantum technologies. Volume 3:Issue 4(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-04-15
• Subjects: Quantum theory -- Periodicals; Quantum computing -- Periodicals; Quantum chemistry -- Periodicals; Quantum electronics -- Periodicals; 537.5
• DOI: 10.1002/qute.202070043
• Languages: English
• ISSNs: 2511-9044

Abstract

Abstract : Quantum walks is a tool for studying various phenomena in quantum systems, including quantum transport in complex networks. In article number 1900115, Alexey A. Melnikov and co‐workers suggest how to improve our understanding of noisy quantum walks in networks with computer vision. The cover gives a pictorial view of a unique eye that learns to observe differences between quantum and classical effects in the space of surrounding networks.