About me
junyuliucaltech@gmail.com
I am Dr. Junyu Liu(刘峻宇). 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(刘峻宇). 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.
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.
Starting in 2022, I am a co-founder of SeQure (a software company intersecting AI and cybersecurity).
Starting in 2022, I am a co-founder of SeQure (a software company intersecting AI and cybersecurity).
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.
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 top journals and conferences including: Nature Communications, Physical Review X Quantum, Physical Review Letters, Physical Review Research, Quantum, Journal of High Energy Physics, Physics Letters B, Physics Review A, Communications in Mathematical Physics, European Physics Journal C, Journal of Cosmology and Astroparticle Physics, Chinese Physics Letters, Journal of Physics A: Mathematical and Theoretical, SciPost, International Journal of Modern Physics, Journal of Chemical Theory and Computation, Quantum Science and Technology, Annals of Physics, Physica A: Statistical Mechanics and its Applications, Springer Nature Computer Science, Association for Computing Machinery Journal, IEEE Transactions on Quantum Engineering, IEEE International Conference on Quantum Computing and Engineering (QCE), Quantum Techniques in Machine Learning (QTML), Computer Networks, Advanced Quantum Technologies, and Machine Learning: Science and Technology.
I am a referee of top journals and conferences including: Nature Communications, Physical Review X Quantum, Physical Review Letters, Physical Review Research, Quantum, Journal of High Energy Physics, Physics Letters B, Physics Review A, Communications in Mathematical Physics, European Physics Journal C, Journal of Cosmology and Astroparticle Physics, Chinese Physics Letters, Journal of Physics A: Mathematical and Theoretical, SciPost, International Journal of Modern Physics, Journal of Chemical Theory and Computation, Quantum Science and Technology, Annals of Physics, Physica A: Statistical Mechanics and its Applications, Springer Nature Computer Science, Association for Computing Machinery Journal, IEEE Transactions on Quantum Engineering, IEEE International Conference on Quantum Computing and Engineering (QCE), Quantum Techniques in Machine Learning (QTML), Computer Networks, Advanced Quantum Technologies, and Machine Learning: Science and Technology.
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.
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.
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.
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 from Jiangyou(江油), a small city in Sichuan(四川) province in 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.
I am from Jiangyou(江油), a small city in Sichuan(四川) province in 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.