Efficient entanglement generation and detection of generalized stabilizer states
The generation and verification of large-scale entanglement are essential to the development of quantum technologies. In this paper, we present an efficient scheme to generate genuine multipartite entanglement of a large number of qubits by using the Heisenberg interaction. This method can be con...
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sg-ntu-dr.10356-1549662023-02-28T20:07:03Z Efficient entanglement generation and detection of generalized stabilizer states Zhang, Yihong Tang, Yifan Zhou, You Ma, Xiongfeng School of Physical and Mathematical Sciences Science::Physics Multipartite Entanglement Quantum State The generation and verification of large-scale entanglement are essential to the development of quantum technologies. In this paper, we present an efficient scheme to generate genuine multipartite entanglement of a large number of qubits by using the Heisenberg interaction. This method can be conveniently implemented in various physical platforms, including superconducting, trapped-ion, and cold-atom systems. In order to characterize the entanglement of the output quantum state, we generalize the stabilizer formalism and develop an entanglement witness method. In particular, we design a generic searching algorithm to optimize entanglement witness with a minimal number of measurement settings under a given noise level. From the perspective of practical applications, we numerically study the trade-off between the experiment efficiency and the detection robustness. Ministry of Education (MOE) National Research Foundation (NRF) Published version This work was supported by the National Natural Science Foundation of China Grant No. 11875173, the National Key Research and Development Program of China Grants No. 2019QY0702 and No. 2017YFA0303903, and the Zhongguancun Haihua Institute for Frontier Information Technology. Y.Z. is supported by the National Research Foundation (NRF), Singapore, under its NRFF Fellow program (Award No. NRF-NRFF2016-02), the Quantum Engineering Program Grant QEP-SF3, the Singapore Ministry of Education Tier 1 Grants No. MOE2017-T1-002-043, and No. FQXi-RFP-1809 from the Foundational Questions Institute and Fetzer Franklin Fund (a donor-advised fund of Silicon Valley Community Foundation). 2022-05-26T02:14:10Z 2022-05-26T02:14:10Z 2021 Journal Article Zhang, Y., Tang, Y., Zhou, Y. & Ma, X. (2021). Efficient entanglement generation and detection of generalized stabilizer states. Physical Review A, 103(5), 052426-. https://dx.doi.org/10.1103/PhysRevA.103.052426 2469-9926 https://hdl.handle.net/10356/154966 10.1103/PhysRevA.103.052426 2-s2.0-85107145032 5 103 052426 en MOE2017-T1-002-043 NRF-NRFF2016-02 QEP-SF3 Physical Review A © 2021 American Physical Society. All rights reserved. This paper was published in Physical Review A and is made available with permission of American Physical Society. application/pdf |
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Science::Physics Multipartite Entanglement Quantum State Zhang, Yihong Tang, Yifan Zhou, You Ma, Xiongfeng Efficient entanglement generation and detection of generalized stabilizer states |
description |
The generation and verification of large-scale entanglement are essential to
the development of quantum technologies. In this paper, we present an efficient
scheme to generate genuine multipartite entanglement of a large number of
qubits by using the Heisenberg interaction. This method can be conveniently
implemented in various physical platforms, including superconducting,
trapped-ion, and cold-atom systems. In order to characterize the entanglement
of the output quantum state, we generalize the stabilizer formalism and develop
an entanglement witness method. In particular, we design a generic searching
algorithm to optimize entanglement witness with a minimal number of measurement
settings under a given noise level. From the perspective of practical
applications, we numerically study the trade-off between the experiment
efficiency and the detection robustness. |
author2 |
School of Physical and Mathematical Sciences |
author_facet |
School of Physical and Mathematical Sciences Zhang, Yihong Tang, Yifan Zhou, You Ma, Xiongfeng |
format |
Article |
author |
Zhang, Yihong Tang, Yifan Zhou, You Ma, Xiongfeng |
author_sort |
Zhang, Yihong |
title |
Efficient entanglement generation and detection of generalized stabilizer states |
title_short |
Efficient entanglement generation and detection of generalized stabilizer states |
title_full |
Efficient entanglement generation and detection of generalized stabilizer states |
title_fullStr |
Efficient entanglement generation and detection of generalized stabilizer states |
title_full_unstemmed |
Efficient entanglement generation and detection of generalized stabilizer states |
title_sort |
efficient entanglement generation and detection of generalized stabilizer states |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/154966 |
_version_ |
1759854581035040768 |