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Atomic and Laser Physics
Credit: Jack Hobhouse

Jinzhao Sun

Schmidt AI in Science Fellow

Research theme

  • Quantum information and computation

Sub department

  • Atomic and Laser Physics

Research groups

  • Frontiers of quantum physics
jinzhao.sun@physics.ox.ac.uk
Clarendon Laboratory
Personal website
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  • About
  • Publications

Probing spectral features of quantum many-body systems with quantum simulators

(2023)

Authors:

Jinzhao Sun, Lucia Vilchez-Estevez, Vlatko Vedral, Andrew T Boothroyd, MS Kim
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Details from ArXiV

Low-Depth Hamiltonian Simulation by an Adaptive Product Formula

Physical Review Letters American Physical Society (APS) 130:4 (2023) 040601

Authors:

Zi-Jian Zhang, Jinzhao Sun, Xiao Yuan, Man-Hong Yung
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Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz

ArXiv 2212.08006 (2022)

Authors:

Shaojun Guo, Jinzhao Sun, Haoran Qian, Ming Gong, Yukun Zhang, Fusheng Chen, Yangsen Ye, Yulin Wu, Sirui Cao, Kun Liu, Chen Zha, Chong Ying, Qingling Zhu, He-Liang Huang, Youwei Zhao, Shaowei Li, Shiyu Wang, Jiale Yu, Daojin Fan, Dachao Wu, Hong Su, Hui Deng, Hao Rong, Yuan Li, Kaili Zhang, Tung-Hsun Chung, Futian Liang, Jin Lin, Yu Xu, Lihua Sun, Cheng Guo, Na Li, Yong-Heng Huo, Cheng-Zhi Peng, Chao-Yang Lu, Xiao Yuan, Xiaobo Zhu, Jian-Wei Pan
Details from ArXiV

Simple and high-precision Hamiltonian simulation by compensating Trotter error with linear combination of unitary operations

ArXiv 2212.04566 (2022)

Authors:

Pei Zeng, Jinzhao Sun, Liang Jiang, Qi Zhao
Details from ArXiV

Towards a variational Jordan–Lee–Preskill quantum algorithm

Machine Learning: Science and Technology IOP Publishing 3:4 (2022) 045030-045030

Authors:

Junyu Liu, Zimu Li, Han Zheng, Xiao Yuan, Jinzhao Sun

Abstract:

Abstract Rapid developments of quantum information technology show promising opportunities for simulating quantum field theory in near-term quantum devices. In this work, we formulate the theory of (time-dependent) variational quantum simulation of the 1 + 1 dimensional λ ϕ 4 quantum field theory including encoding, state preparation, and time evolution, with several numerical simulation results. These algorithms could be understood as near-term variational quantum circuit (quantum neural network) analogs of the Jordan–Lee–Preskill algorithm, the basic algorithm for simulating quantum field theory using universal quantum devices. Besides, we highlight the advantages of encoding with harmonic oscillator basis based on the Lehmann—Symanzik—Zimmermann reduction formula and several computational efficiency such as when implementing a bosonic version of the unitary coupled cluster ansatz to prepare initial states. We also discuss how to circumvent the ‘spectral crowding’ problem in the quantum field theory simulation and appraise our algorithm by both state and subspace fidelities.
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