エピソード

  • Solvable model of deep thermalization with distinct design times
    2023/07/26

    You should know the drill by now, Here's the original paper, here's the Medium and WordPress blog of the summary.

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    13 分
  • Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities
    2023/07/18

    Today I review this paper:

    In this episode, we discuss a new approach to detecting quantum entanglement in many-body systems. The approach is based on Zeeman-sublevel population measurements, and it is more sensitive to entanglement than traditional methods. We explore how this approach can be used to study entanglement in spin-1 and spin-2 Bose-Einstein condensates, and we discuss the implications of the results for the development of new quantum technologies.

    To read the summary, look at our WordPress or Medium.

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    9 分
  • Overlapped grouping measurement: A unified framework for measuring quantum states
    2023/07/11

    This is a summary of Overlapped grouping measurement: A unified framework for measuring quantum states Please read the original paper.

    Or feel free to read my summary on Medium or Wordpress

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    18 分
  • Random access codes via quantum contextual redundancy
    2023/07/04

    You know the drill! Read the Paper!

    The Medium!

    The WordPress!

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    12 分
  • QKD parameter estimation by two-universal hashing
    2023/06/27

    Dimiter Ostrev proposes a new QKD protocol that uses two-universal hashing instead of random sampling to estimate the number of bit flip and phase flip errors. This protocol dramatically outperforms previous QKD protocols for small block sizes.

    Check out the original paper, or read my medium or WordPress versions of the summary.

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    5 分
  • Structural risk minimization for quantum linear classifiers
    2023/06/27

    You can read the paper here:

    https://quantum-journal.org/papers/q-2023-01-13-893/

    Or if you want to read a summary, try my wordpress or medium!

    The paper summarized here studies how to balance between training accuracy and generalization performance (also called structural risk minimization) for two prominent QML models using relationships to classical models.


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    4 分
  • Binary Control Pulse Optimization for Quantum Systems
    2023/06/20

    The original paper can be found here.

    https://quantum-journal.org/papers/q-2023-01-04-892/

    I would recommend reading this one in some form, say Wordpress or Medium?

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    11 分
  • An Improved Sample Complexity Lower Bound for (Fidelity) Quantum State Tomography
    2023/06/19

    https://quantumsumm.wordpress.com/2023/06/19/an-improved-sample-complexity-lower-bound-for-fidelity-quantum-state-tomography/

    https://medium.com/@quantumsumm/an-improved-sample-complexity-lower-bound-for-fidelity-quantum-state-tomography-90c1629664a8

    As this paper is so short, it is a worthwhile read for anyone and good practice for getting into the habit of reading papers. Although it is very dense (as most quantum papers are) the four pages it takes up are in no way a waste of time. It may even take less time than this podcast, but you can't drive while doing that.

    https://quantum-journal.org/papers/q-2023-01-03-890/

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    3 分