Naixu Guo

Naixu Guo

A researcher exploring nature and intelligence

About

I am Naixu Guo (郭 乃绪), a Ph.D. student at CQT (NUS) advised by Patrick Rebentrost and Miklos Santha. I received my bachelor in 2020 from Kyoto University. Later, I received my master in 2022 from Osaka University, advised by Keisuke Fujii and Kosuke Mitarai.

Research interests

The polar star of my research direction is the interaction between nature and intelligence. To provide a meaningful scope, I currently focus on the interplay between quantum systems, representing nature, and statistical learning theory and machine learning, embodying intelligence. Some of the topics that I am actively considering are

  • Quantum linear algebra and its applications
  • Understanding quantum many-body systems via the lens of (theoretical) computer science

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Publications

All of my works are also available on my ArXiv and Google Scholar pages.

  • N. Guo, Z. Yu, A. Agrawal, and P. Rebentrost, Quantum linear algebra is all you need for Transformer architectures, arxiv:2402.16714 Twi thread PennyLane blog
  • L. Zhao, N. Guo, M. Luo, and P. Rebentrost, Provable learning of quantum states with graphical models, arxiv:2309.09235
  • N. Guo, and P. Rebentrost, Estimating properties of a quantum state by importance-sampled operator shadows, arxiv:2305.09374
  • S. Yang, N. Guo, M. Santha and P. Rebentrost, Quantum Alphatron: quantum advantage for learning with kernels and noise, Quantum
  • N. Guo, K. Mitarai and K. Fujii, Nonlinear transformation of complex amplitudes via quantum singular value transformation, arxiv:2107.10764

Talks and Conferences

The attached slides only reflect the speaker’s thoughts at that moment and probably consist of errors.

  • Quantum linear algebra is all you need for transformer architectures

    JPMorgan Chase, CQT

  • Introduction to modern machine learning

    CQT

  • Provable learning of quantum states with graphical models

    Peking University, QIP 24

  • Estimating properties of a quantum state by importance-sampled operator shadows

    CQT, Westlake University

  • Nonlinear transformation of complex amplitudes via quantum singular value transformation

    Nagoya University, Qleap AI, TQC 21, QIP 21, AQIS 20