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
Explore the principles of nature to pioneer transformative algorithms and new paradigms of intelligence for accelerating scientific discovery.
Quantum simulation and algorithm
Artificial Intelligence (AI) for Science
Recent News
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[02/2026] I started a research internship at A*STAR Institute of High Performance Computing, hosted by Yunlong Xiao.
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[1/2026] Our work Accelerating Inference for Multilayer Neural Networks with Quantum Computers has been accepted at ICLR 2026.
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[12/2025] I gave outreach talk about the limits of classical computation and quantum advantage at Quantum Fall Fest 2025 in Singapore.
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[11/2025] Our work Fast-forwardable Lindbladians imply quantum phase estimation has been accepted at QIP 2026.
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[10/2025] I gave invited taks on Quantum algorithms for linear differential equation and phase estimation via Lindbladians at Institute for Quantum Computing and Oxford University.
Get in Touch
I'm always interested in discussing research collaborations, opportunities, or just having a chat about quantum computing and AI.