My research field is quantum information science, an interdisciplinary field at the intersection of information science and quantum physics. Currently, my theoretical research focuses on the following areas:

Quantum system benchmarking and noise suppression

Characterisation and detection of quantum correlations and pseudo-randomness

Quantum simulation and algorithms

My research draws inspiration and tools from quantum information theory, random matrix theory, tensor network theory, group representation theory, quantum optics theory, and statistical learning theory.

Academic homepage: https://youzhoutravel.github.io/homepage1/

Students with a solid foundation in mathematics and physics who enjoy deep thinking are welcome to contact me! (Before contacting, please read the practical information below. If you do not like linear algebra, please do not contact me.)

Outstanding students may be recommended for exchange studies at Tsinghua University, Peking University, University of Hong Kong, Harvard University, Nanyang Technological University, University of Naples, etc.

P.S. My research is primarily theoretical, largely pen-and-paper work, but also involves some programming, e.g., Matlab and Python. A complete grasp of quantum physics is not required for entry into quantum information; a foundation in linear algebra and probability theory is sufficient for a good start.

Practical Information:

FAQ on quantum computing by my collaborator Professor Yuan Xiao of Peking University: https://mp.weixin.qq.com/s/VzRdqXFXow9cGOeKVieCow

Two reference books on quantum information and computation:

(a) Classic textbook on quantum information (start with Chapter 2: Fundamentals of Quantum Physics, page 60): https://mp.weixin.qq.com/s/sfQP9HmgS8KPxXQu6zSjsA / http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf

(b) Latest textbook on quantum computation, can be studied with IBM’s Python package Qiskit: https://mp.weixin.qq.com/s/PfRu-8KW13ecNPziupFkRQ; Qiskit official website: https://qiskit.org/

Other resources: https://mp.weixin.qq.com/s/EhWqqNpxlpGqf4VYXkvWmA

Early Career Advisor (ECA), Physical Review Letters

Executive Committee Member, CCF Quantum Computing

Program Committee, AQIS2025, AQIS2023

Reviewer for journals including Physical Review Letters, PRX Quantum, npj Quantum Information, Quantum, Physical Review A, and for conferences including QIP, TQC, AQIS.

Shanghai Overseas Talent Programme, 2021

Tsinghua University Doctoral Student Overseas Exchange Programme, University of Catania, Italy (Host Professors: Prof. Luigi Amico and Prof. Alioscia Hamma), 2018

Zhejiang University Excellent Undergraduate Thesis, 2014

Zhejiang University Outstanding Student and First-Class Academic Excellence Scholarship, 2012, 2013

2010–2014: B.Eng., Department of Information and Electronic Engineering, Zhejiang University (Thesis Supervisor: Professor Yin Yi)

2014–2019: Ph.D., Institute for Interdisciplinary Information Sciences, Tsinghua University (Supervisor: Professor Ma Xiongfeng)

2019: Visiting Scholar, University of Science and Technology of China (Host: Professor Yuan Zhensheng)

2019–2020: Postdoctoral Fellow, Harvard University (Host: Prof. Arthur Jaffe)

2020–2022: Postdoctoral Fellow, Nanyang Technological University and National University of Singapore (Host: Prof. Mile Gu)

2022–present: Junior Associate Research Fellow, Fudan University

2023 Autumn/Winter:

Introduction to Quantum Information (3 credits, Postgraduate)

Machine Learning (3 credits, Postgraduate)

Machine Learning (3 credits, Postgraduate, full English)

2024 Autumn/Winter:

Machine Learning (3 credits, Postgraduate)

Machine Learning (2 credits, Undergraduate)

2025 Autumn/Winter:

Machine Learning (3 credits, Postgraduate)

Machine Learning (2 credits, Undergraduate)

https://scholar.google.com/citations?user=oQ_tbtYAAAAJ&hl=en

In journals including Nature Physics（1 paper），Review Letters （7 papers） , npj-Quantum Information （3 papers） , Quantum （3 papers） et al.have been published in leading international academic journals31 paperacademic papers，Among them,22 papers (co-first / correspondingauthor。

Recent journal Representative papers:

[1] You Zhou* , Pei Zeng*, and Zhenhuan Liu*, Single-copies estimation of entanglement negativity, Physical Review Letters 125, 200502,(2020) B,C

[2] Xiao Yuan*, Jinzhao Sun*, Junyu Liu*, Qi Zhao*, You Zhou* , Quantum simulation with hybrid tensor networks, Physical Review Letters 127 (4), 040501,(2021) C,S

[3] You Zhou+ , Bo Xiao+, Meng-Da Li, Qi Zhao, Zhen-Sheng Yuan*, Xiongfeng Ma*, Jian-Wei Pan, A scheme to create and verify scalable entanglement in optical lattice, npj Quantum Information 8 (1), 1-9,(2022) B,C

[4] You Zhou* , Alisocia Hamma*, Entanglement of random hypergraph states, Physical Review A 106 (1), 012410 (2022) C

[5] You Zhou* , Qing Liu*, Performance analysis of multi-shot shadow estimation, Quantum 7, 1044, (2023) B

[6] Junjie Chen, Yuxuan Yan, You Zhou* , Magic of quantum hypergraph states, Quantum 8, 1351, (2024) C

[7] You Zhou* , Zhenhuan Liu*, A hybrid framework for estimating nonlinear functions of quantum states, npj Quantum Information 10(62) (2024) B

[8] Qingyue Zhang,Qing Liu, You Zhou* . Minimal Clifford shadow estimation by mutually unbiased bases, Physical Review Applied, 21(6): 064001,(2024) B

[9]Yuxuan Yan+, Muzhou Ma+, You Zhou* , and Xiongfeng Ma*. Variational LOCC-assisted quantum circuits for long-range entangled states. Physical Review Letters 134, no. 17 (2025): 170601. C,S

[10] Qi Zhao*, You Zhou* , and Andrew M. Childs*. Entanglement accelerates quantum simulation. Nature Physics (2025): 1-8. C,S