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PhysRevResearch.6.L022021.pdf839.53 kBAdobe PDF見る/開く
タイトル: Hayden-Preskill recovery in Hamiltonian systems
著者: Nakata, Yoshifumi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-1285-6968 (unconfirmed)
Tezuka, Masaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7877-0839 (unconfirmed)
著者名の別形: 中田, 芳史
手塚, 真樹
キーワード: Information scrambling
Many-body localization
Quantum chaos
Quantum error correction
Hamiltonian systems
Exact diagonalization
Random field spin models
Sachdev-Ye-Kitaev model
発行日: 25-Apr-2024
出版者: American Physical Society (APS)
誌名: Physical Review Research
巻: 6
号: 2
論文番号: L022021
抄録: Information scrambling refers to the unitary dynamics that quickly spreads and encodes localized quantum information over an entire many-body system and makes the information accessible from any small subsystem. While information scrambling is the key to understanding complex quantum many-body dynamics and is well-understood in random unitary models, it has been hardly explored in Hamiltonian systems. In this Letter, we investigate the information recovery in various time-independent Hamiltonian systems, including chaotic spin chains and Sachdev-Ye-Kitaev models. We show that information recovery is possible in certain, but not all, chaotic models, which highlights the difference between information recovery and quantum chaos based on the energy spectrum or the out-of-time-ordered correlators. We also show that information recovery probes transitions caused by the change of information-theoretic features of the dynamics.
記述: 量子カオスとスクランブリングの非同一性の発見--複雑な量子多体ダイナミクスの量子情報的理解--京都大学プレスリリース. 2024-05-02.
著作権等: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
URI: http://hdl.handle.net/2433/289085
DOI(出版社版): 10.1103/physrevresearch.6.l022021
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2024-05-02-1
出現コレクション:学術雑誌掲載論文等

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