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junyuliucaltech@gmail.com
I am Dr. Junyu Liu. an assistant professor in the Department of Computer Science, School of Computing and Information, the University of Pittsburgh, starting from fall 2024. This is the group page for my research lab.
I am Dr. Junyu Liu. an assistant professor in the Department of Computer Science, School of Computing and Information, the University of Pittsburgh, starting from fall 2024. This is the group page for my research lab.
I am interested in the relationship between quantum physics and computer science, especially quantum computing, quantum communication, machine learning and quantum sensing. Here is my CV.
I am interested in the relationship between quantum physics and computer science, especially quantum computing, quantum communication, machine learning and quantum sensing. Here is my CV.
In 2021-2024 I was a computer scientist and a theoretical physicist working for the University of Chicago and IBM, associated with the Chicago Quantum Exchange with a maximally five-year position, in the University of Chicago in Prof. Liang Jiang's Group in the Pritzker School of Molecular Engineering, in Fred Chong's Group in the Department of Computer Science, and also a Kadanoff fellow in Kadanoff Center for Theoretical Physics. I am also working closely with the great Jens Eisert from Free University of Berlin.
In 2021-2024 I was a computer scientist and a theoretical physicist working for the University of Chicago and IBM, associated with the Chicago Quantum Exchange with a maximally five-year position, in the University of Chicago in Prof. Liang Jiang's Group in the Pritzker School of Molecular Engineering, in Fred Chong's Group in the Department of Computer Science, and also a Kadanoff fellow in Kadanoff Center for Theoretical Physics. I am also working closely with the great Jens Eisert from Free University of Berlin.
I am graduated from California Institute of Technology with a PhD in physics in June 2021, with the working experiences from the Walter Burke Institute for Theoretical Physics and the Institute for Quantum Information and Matter, supervised by Clifford Cheung, John Preskill and David Simmons-Duffin. It is very unusual to be advised by three great physicists at the same time, so I feel I am extremely lucky. This is my PhD Thesis.
I am graduated from California Institute of Technology with a PhD in physics in June 2021, with the working experiences from the Walter Burke Institute for Theoretical Physics and the Institute for Quantum Information and Matter, supervised by Clifford Cheung, John Preskill and David Simmons-Duffin. It is very unusual to be advised by three great physicists at the same time, so I feel I am extremely lucky. This is my PhD Thesis.
Between 1/2022 and 3/2024, I am a scientific advisor of qBraid Corp (a quantum software company). In the 2020 summer, I am a quantum applications intern in PsiQuantum Corp (a unicorn in photonic quantum computing).
Between 1/2022 and 3/2024, I am a scientific advisor of qBraid Corp (a quantum software company). In the 2020 summer, I am a quantum applications intern in PsiQuantum Corp (a unicorn in photonic quantum computing).
My work has interdisciplinary applications in optimization, machine learning, data science, big data, quantum computing, blockchains, computer science and fundamental physics, from formal theoretical predictions, experimental simulations and observations, to commercial realizations. I enjoy collaborations with people from different places and backgrounds in math, physics, computer science, finance and business. My applied mathematics and computer science skills include convex and non-convex optimization, operations research, high-performance computing, tensor networks, cryptography, random matrix theory, machine learning, quantum computing, and quantum information science.
My work has interdisciplinary applications in optimization, machine learning, data science, big data, quantum computing, blockchains, computer science and fundamental physics, from formal theoretical predictions, experimental simulations and observations, to commercial realizations. I enjoy collaborations with people from different places and backgrounds in math, physics, computer science, finance and business. My applied mathematics and computer science skills include convex and non-convex optimization, operations research, high-performance computing, tensor networks, cryptography, random matrix theory, machine learning, quantum computing, and quantum information science.
My personal research style is often tending to be the pioneer of areas intersecting physics, information and computation. My work includes the earliest invention of quantum data centers, the first paper about applying neural network in high energy physics, the earliest investigations of quantum circuits and matrix ensemble classification, the earliest investigation of applying neural tangent kernel theory to quantum circuits (see also this paper, this paper and this paper), the earliest work about the geometric nature of TTbar flow in holography (so-called KLM equation), the earliest non-trivial example of applying the Caron-Huot Lorentzian inversion formula in general dimensions, the earliest proof of the weak gravity conjecture, and early investigations of quantum simulation algorithm for high energy physics.
My personal research style is often tending to be the pioneer of areas intersecting physics, information and computation. My work includes the earliest invention of quantum data centers, the first paper about applying neural network in high energy physics, the earliest investigations of quantum circuits and matrix ensemble classification, the earliest investigation of applying neural tangent kernel theory to quantum circuits (see also this paper, this paper and this paper), the earliest work about the geometric nature of TTbar flow in holography (so-called KLM equation), the earliest non-trivial example of applying the Caron-Huot Lorentzian inversion formula in general dimensions, the earliest proof of the weak gravity conjecture, and early investigations of quantum simulation algorithm for high energy physics.
I am a referee of around 30 top journals and conferences in computer science and quantum physics.
I am a referee of around 30 top journals and conferences in computer science and quantum physics.
I am on the referee board of national grants of some countries, including Dutch Research Council. I am also a Program Committee member of IEEE International Conference on Quantum Computing and Engineering (QCE) 2023 and 2024. I am also track-chairing IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), 2024, and co-organizing IEEE Workshop on Quantum IntelLigence, Learning & Security (QUILLS), 2024.
I am on the referee board of national grants of some countries, including Dutch Research Council. I am also a Program Committee member of IEEE International Conference on Quantum Computing and Engineering (QCE) 2023 and 2024. I am also track-chairing IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), 2024, and co-organizing IEEE Workshop on Quantum IntelLigence, Learning & Security (QUILLS), 2024.
In personal life, I am a fan of interacting with animals, taking care of cats and dogs, cleaning dishes, and whale/bird watching. I love marine biology, science fictions, animations, and classical music. I am also an amateur violinist with the highest certificated amateur degree in Sichuan Province, China. I am graduated from School of the Gifted Young in the University of Science and Technology of China before with a bachelor degree in physics.
In personal life, I am a fan of interacting with animals, taking care of cats and dogs, cleaning dishes, and whale/bird watching. I love marine biology, science fictions, animations, and classical music. I am also an amateur violinist with the highest certificated amateur degree in Sichuan Province, China. I am graduated from School of the Gifted Young in the University of Science and Technology of China before with a bachelor degree in physics.
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