BAQIS Quantum Science Forum 67:Towards Practical Simulation of Realistic Chemical Systems on Near-term Quantum Computers

2022/04/28

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TimeThurday, April 28, 10:30 - 11:30

Venue: BAQIS meeting room 526

Wechat Conference ID:853618289 (Password:9991)

TitleTowards Practical Simulation of Realistic Chemical Systems on Near-term Quantum Computers 

Language: Chinese

HostMengjun Hu, Assistant Research Scientist, BAQIS. 

Abstract:At present, Moore's Law is gradually failing, and various new computing architectures are emerging one after another. Quantum computing is likely to be a revolutionary technology in the future and has recently exhibited great potentials in predicting chemical properties for various applications in drug discovery, material design, and catalyst optimization. However, quantum computing is in the era of noise intermediate-scale (NISQ), with the number of qubits up to (50-1000), limited coherence time, and gate fidelity. Progress has been made in simulating small molecules, such as LiH and hydrogen chains of up to 12 qubits, by using quantum algorithms such as variational quantum eigensolver(VQE). Yet, originating from limitations of the size and the fidelity of near-term quantum hardware, how to accurately simulate large realistic molecules remains a challenge. In this talk, I will present our work towards the larger scale and realistic chemistry simulation. I will also briefly discuss other theoretical research in quantum chemistry simulation, the experimental realization of mainstream quantum systems, and future research trends and difficulties.


About the Speaker:Dr. Lv Dingshun, from ByteDance AI Lab, is a researcher in quantum computing and quantum chemistry. He majored in applied physics at Harbin Institute of Technology during his undergraduate studies. After graduating in 2012, he was joined the Institute of Interdisciplinary Information, Tsinghua University, where he studied under the tutelage of Prof. Kihwan Kim. Prof. Kim is an internationally renowned expert in ion trap experiments with over 10 years of research experience. During his Ph.D. studies, he published 7 papers in internationally renowned journals such as Nature Physics, PRX, Nature Communication, PRL, PRA, etc., his H-index is 8, and Google papers have been cited more than 760 times. After Ph.D graduating he joined Huawei's 2012 laboratory as a quantum computing and quantum algorithm researcher, specializing in and focusing on quantum software and algorithm research. During his work at Huawei, he mainly focused on quantum many-body simulation (quantum chemical simulation, Hubbard model, Schwinger model, and Heisenberg model simulation) based on variational eigensolving (VQE) and quantum approximation algorithm research (QAOA). The relevant main results have been released at the 2019 and 2020 HuaweiConnect conferences, and there are corresponding software packages HiQ Fermion and HiQ Optimizer. In April 2021, he joined ByteDance and continued to focus on research in quantum computing and quantum chemistry. During his work in the company, he led the completion of 10 patent applications, and 6 corresponding author articles were submitted.