Quantum compressive sensing: mathematical machinery, quantum algorithms, and quantum circuitry

HIGHLIGHTS

  • who: Kyle M. Sherbert and colleagues from the Department of Electrical and Computer Engineering, University of Illinois at Chicago have published the research: Quantum Compressive Sensing: Mathematical Machinery, Quantum Algorithms, and Quantum Circuitry, in the Journal: (JOURNAL)
  • what: The authors present the associated and circuits required to implement the training projection and sampling steps on a computer. The aim of this work is to provide algorithms for implementing and extending the methodology of these past approaches on bona-fide quantum computers. While both Han et_al and Ran et_al suggest the possibility of a quantum implementation . . .

     

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