Naixu Guo (郭乃绪)
I am a fourth-year PhD student at CQT, advised by Patrick Rebentrost and Miklos Santha. Previously, I graduated from Kyoto University and Osaka University, under the supervision of Keisuke Fujii and Kosuke Mitarai. To know more about quantum machine learning, welcome to read our book.
I am on the job market this year, and actively looking for postdoc positions and other opportunities.
Research Focus
My research aims to uncover and harness the fundamental computational principles of nature, especially quantum, to pioneer transformative algorithms and new paradigms of intelligence.
Quantum machine learning
Quantum algorithms
AI for quantum
Recent News
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[08/2025] Our paper Design nearly optimal quantum algorithm for linear differential equations via Lindbladians has been accepted by Physical Review Letters.
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[08/2025] I started my visit to Xanadu, University of Toronto, and University of Waterloo.
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[08/2025] I have received the research excellence scholarship from Sandbox AQ.
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[08/2025] Our paper Quantum linear algebra is all you need for Transformer architectures has been presented as a plenary talk at AQIS 2025 by Patrick.
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[06/2025] Our paper Design nearly optimal quantum algorithm for linear differential equations via Lindbladians has been accepted for a talk at AQIS 2025.
Get in Touch
I'm always interested in discussing research collaborations, opportunities, or just having a chat about quantum computing and AI.