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Decoding a black hole: quantum information theory meets quantum gravity

Decoding a black hole: quantum information theory meets quantum gravity
解码黑洞:量子信息论遇上量子引力
批准号:
RGPIN-2018-04502
负责人:
Yoshida, Beni
金额:
$2.4万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
Will the information thrown into a black hole be destroyed, or might it be recovered from the Hawking radiation that is emitted as the black hole evaporates? The black hole information puzzle, originally posed by Hawking in 1970s, has remained as one of the most fascinating yet challenging open questions in theoretical physics, highlighting the challenge in reconciling general relativity with quantum mechanics. Evidence from string theory, namely the AdS/CFT correspondence, suggests that the information, rather than being destroyed, can be encoded in the black hole's internal degrees of freedom and eventually transferred to the outgoing radiation. However, the issue remains controversial, and the mechanism by which the information escapes from a black hole remains elusive.Quantum information theory addresses quantitative questions about the acquisition, transmission, and processing of information in quantum systems. Though quantum information theory by itself cannot resolve the black hole information puzzle, it can provide intuition and analytical/numerical tools that help to sharpen our understanding of the question. The last five years witnessed how applications of theoretical ideas from quantum information science to quantum gravity questions lead to breakthrough ideas. A hallmark of recent fruitful synergy is my own work on a toy model of the AdS/CFT correspondence based on a novel construction of quantum error-correcting codes. The model provided sharp insights on a rather surprising relation between gravity and quantum entanglement through the lens of quantum coding theory. In this research program, I will address various puzzles concerning black holes and quantum gravity, including the aforementioned information problem, by utilizing techniques from modern quantum information theory. This direction of research, addressing fundamental questions at the forefront of quantum gravity and string theory, provides a link to active areas in quantum information theory, such as quantum channels/communication, quantum error-correcting codes, tensor network techniques and quantum algorithms. Furthermore, it opens new research avenues at the interface between quantum gravity, quantum information theory and condensed matter theory. Studies of exotic properties of black holes through the lens of quantum information theory will also provide useful new tools/concepts for quantum information theory itself. Experimental simulations of the chaotic behaviour of black holes may provide an ideal platform for demonstrating the advantage of quantum systems over classical systems. These questions will also bring insights from theoretical physics to further advance our understanding of quantum information theory itself.
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Decoding a black hole: quantum information theory meets quantum gravity
  • 批准号:
    RGPIN-2018-04502
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Yoshida, Beni
  • 依托单位:
Decoding a black hole: quantum information theory meets quantum gravity
  • 批准号:
    RGPIN-2018-04502
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Yoshida, Beni
  • 依托单位:
Decoding a black hole: quantum information theory meets quantum gravity
  • 批准号:
    RGPIN-2018-04502
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
    Yoshida, Beni
  • 依托单位:
Decoding a black hole: quantum information theory meets quantum gravity
  • 批准号:
    RGPIN-2018-04502
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2018
  • 负责人:
    Yoshida, Beni
  • 依托单位:
国内基金
海外基金
空间分数阶 Black-Scholes 方程的波动率反演 问题
  • 批准号:
    Q24A010012
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    蒋晓颖
  • 依托单位:
Black-Scholes期权定价模型的时间自适应算法与分析
  • 批准号:
    12271142
  • 项目类别:
    面上项目
  • 资助金额:
    45万元
  • 批准年份:
    2022
  • 负责人:
    任金城
  • 依托单位:
投资者非理性认知环境下的股票收益预测与投资组合研究
  • 批准号:
    72061002
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2020
  • 负责人:
    谢军
  • 依托单位:
Shining light on the black hole mass distribution
  • 批准号:
    12073029
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2020
  • 负责人:
    Roberto Soria
  • 依托单位: