Optimal bounds on state transfer under quantum channels with application to spin system engineering

Wenqiang Zheng, Hengyan Wang, Tao Xin, Xinfang Nie, Dawei Lu, and Jun Li
Phys. Rev. A 100, 022313 – Published 12 August 2019

Abstract

Modern applications of quantum control in quantum information science and technology require the precise characterization of quantum states and quantum channels. In particular, high-performance quantum state engineering often demands that quantum states are transferred with optimal efficiency via realizable controlled evolution, the latter often modeled by quantum channels. When an appropriate quantum control model for an interested system is constructed, the exploration of optimal bounds on state transfer for the underlying quantum channel is then an important task. In this work, we analyze the state transfer efficiency problem for different classes of quantum channels, including unitary, mixed unitary, and Markovian. We then apply the theory to nuclear magnetic resonance (NMR) experiments. We show that two most commonly used control techniques in NMR, namely gradient field control and phase cycling, can be described by mixed unitary channels. Then we show that employing mixed unitary channels does not extend the unitarily accessible region of states. Also, we present a strategy of optimal experiment design, which incorporates coherent radio-frequency field control, gradient field control, and phase cycling, aiming at maximizing state transfer efficiency and meanwhile minimizing the number of experiments required. Finally, we perform pseudopure state preparation experiments on two- and three-spin systems, in order to test the bound theory and to demonstrate the usefulness of nonunitary control means.

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  • Received 24 March 2019

DOI:https://doi.org/10.1103/PhysRevA.100.022313

©2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & Optical

Authors & Affiliations

Wenqiang Zheng1, Hengyan Wang2, Tao Xin3,4,5, Xinfang Nie3,*, Dawei Lu3,4,5,†, and Jun Li3,4,5,‡

  • 1Collaborative Innovation Center for Bio-Med Physics Information Technology, College of Science, Zhejiang University of Technology, Hangzhou 310023, China
  • 2Department of Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China
  • 3Shenzhen Institute for Quantum Science and Engineering and Department of Physics, Southern University of Science and Technology, Shenzhen 518055, China
  • 4Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen 518055, China
  • 5Shenzhen Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

  • *niexf@sustech.edu.cn
  • ludw@sustech.edu.cn
  • lij3@sustech.edu.cn

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Issue

Vol. 100, Iss. 2 — August 2019

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