Nuclear magnetic resonance for quantum computing: Techniques and recent achievements
Rapid developments in quantum information processing have been made, and remarkable achievements have been obtained in recent years, both in theory and experiments. Coherent control of nuclear spin dynamics is a powerful tool for the experimental implementation of quantum schemes in liquid and solid...
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Published in | Chinese physics B Vol. 27; no. 2; pp. 154 - 165 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.02.2018
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Subjects | |
Online Access | Get full text |
ISSN | 1674-1056 2058-3834 |
DOI | 10.1088/1674-1056/27/2/020308 |
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Summary: | Rapid developments in quantum information processing have been made, and remarkable achievements have been obtained in recent years, both in theory and experiments. Coherent control of nuclear spin dynamics is a powerful tool for the experimental implementation of quantum schemes in liquid and solid nuclear magnetic resonance (NMR) system, especially in liquid-state NMR. Compared with other quantum information processing systems, the NMR platform has the advantages such as the long coherence time, the precise manipulation, and well-developed quantum control techniques, which make it possible to accurately control a quantum system with up to 12-qubits. Extensive applications of liquid-state NMR spectroscopy in quantum information processing such as quantum communication, quantum computing, and quantum simulation have been thoroughly studied over half a century. This article introduces the general principles of NMR quantum information processing, and reviews the new-developed techniques. The review will also include the recent achievements of the experimental realization of quantum algorithms for machine learning, quantum simulations for high energy physics, and topological order in NMR. We also discuss the limitation and prospect of liquid-state NMR spectroscopy and the solid-state NMR systems as quantum computing in the article. |
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Bibliography: | nuclear magnetic resonance, quantum control techniques, machine learning, topological quantumcomputing Rapid developments in quantum information processing have been made, and remarkable achievements have been obtained in recent years, both in theory and experiments. Coherent control of nuclear spin dynamics is a powerful tool for the experimental implementation of quantum schemes in liquid and solid nuclear magnetic resonance (NMR) system, especially in liquid-state NMR. Compared with other quantum information processing systems, the NMR platform has the advantages such as the long coherence time, the precise manipulation, and well-developed quantum control techniques, which make it possible to accurately control a quantum system with up to 12-qubits. Extensive applications of liquid-state NMR spectroscopy in quantum information processing such as quantum communication, quantum computing, and quantum simulation have been thoroughly studied over half a century. This article introduces the general principles of NMR quantum information processing, and reviews the new-developed techniques. The review will also include the recent achievements of the experimental realization of quantum algorithms for machine learning, quantum simulations for high energy physics, and topological order in NMR. We also discuss the limitation and prospect of liquid-state NMR spectroscopy and the solid-state NMR systems as quantum computing in the article. 11-5639/O4 Tao Xin, Bi-Xue Wang, Ke-Ren Li, Xiang-Yu Kong, Shi-Jie Wei, Tao Wang, Dong Ruan, and Gui-Lu Long(1State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China 2 The hmovative Center of Quantum Matter, Beijing 100084, China 3 Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China) |
ISSN: | 1674-1056 2058-3834 |
DOI: | 10.1088/1674-1056/27/2/020308 |