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Kang YH, Shi ZC, Song J, Xia Y. Effective non-adiabatic holonomic quantum computation of cavity modes via invariant-based reverse engineering. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210279. [PMID: 36335947 DOI: 10.1098/rsta.2021.0279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 02/22/2022] [Indexed: 06/16/2023]
Abstract
In this paper, we propose a protocol to realize non-adiabatic holonomic quantum computation (NHQC) of cavity modes via invariant-based reverse engineering. Coupling cavity modes with an auxiliary atom trapped in a cavity, we derive effective Hamiltonians with the help of laser pulses. Based on the derived Hamiltonians, invariant-based reverse engineering is used to find proper evolution paths for NHQC. Moreover, the systematic-error-sensitivity nullified optimal control method is considered in the parameter selections, making the protocol insensitive to the influence of systematic errors of pulses. We also estimate the imperfections induced by random noise and decoherence. Numerical results show that the protocol holds robustness against these imperfections. Therefore, the protocol may provide useful perspectives to quantum computation with optical qubits in cavity quantum electrodynamics systems. This article is part of the theme issue 'Shortcuts to adiabaticity: theoretical, experimental and interdisciplinary perspectives'.
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Affiliation(s)
- Yi-Hao Kang
- Department of Physics, Harbin Institute of Technology, Harbin 150001, People's Republic of China
- Fujian Key Laboratory of Quantum Information and Quantum Optics (Fuzhou University), Fuzhou 350116, People's Republic of China
| | - Zhi-Cheng Shi
- Fujian Key Laboratory of Quantum Information and Quantum Optics (Fuzhou University), Fuzhou 350116, People's Republic of China
- Department of Physics, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Jie Song
- Department of Physics, Harbin Institute of Technology, Harbin 150001, People's Republic of China
| | - Yan Xia
- Fujian Key Laboratory of Quantum Information and Quantum Optics (Fuzhou University), Fuzhou 350116, People's Republic of China
- Department of Physics, Fuzhou University, Fuzhou 350116, People's Republic of China
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Ban Y, Chen X, Torrontegui E, Solano E, Casanova J. Speeding up quantum perceptron via shortcuts to adiabaticity. Sci Rep 2021; 11:5783. [PMID: 33707535 PMCID: PMC7952456 DOI: 10.1038/s41598-021-85208-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 02/26/2021] [Indexed: 11/17/2022] Open
Abstract
The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to classical machine learning schemes. Motivated by the techniques of shortcuts to adiabaticity, we propose a speed-up quantum perceptron where a control field on the perceptron is inversely engineered leading to a rapid nonlinear response with a sigmoid activation function. This results in faster overall perceptron performance compared to quasi-adiabatic protocols, as well as in enhanced robustness against imperfections in the controls.
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Affiliation(s)
- Yue Ban
- Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080, Bilbao, Spain. .,School of Materials Science and Engineering, Shanghai University, 200444, Shanghai, People's Republic of China.
| | - Xi Chen
- Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080, Bilbao, Spain.,International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Department of Physics, Shanghai University, 200444, Shanghai, People's Republic of China
| | - E Torrontegui
- Departamento de Física, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911, Leganés (Madrid), Spain.,Instituto de Física Fundamental IFF-CSIC, Calle Serrano 113, 28006, Madrid, Spain
| | - E Solano
- Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080, Bilbao, Spain.,International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Department of Physics, Shanghai University, 200444, Shanghai, People's Republic of China.,IKERBASQUE, Basque Foundation for Science, Plaza Euskadi 5, 48009, Bilbao, Spain.,IQM, Nymphenburgerstr. 86, 80636, Munich, Germany
| | - J Casanova
- Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080, Bilbao, Spain.,IKERBASQUE, Basque Foundation for Science, Plaza Euskadi 5, 48009, Bilbao, Spain
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