66 citations · 272 across the 13 of their papers we have counts for
13 papers
Universal Quantum Computational Spectroscopy on a Quantum Chip
Chonghao Zhai, Jinzhao Sun, Jieshan Huang +7
Spectroscopy underpins modern scientific discovery across diverse disciplines. While experimental spectroscopy probes material properties through scattering or radiation measuremen…
Molecular docking via quantum approximate optimization algorithm
Qi-Ming Ding, Yi-Ming Huang, Xiao Yuan
Molecular docking plays a pivotal role in drug discovery and precision medicine, enabling us to understand protein functions and advance novel therapeutics. Here, we introduce a po…
A resource-efficient quantum-classical hybrid algorithm for energy gap evaluation
Yongdan Yang, Ying Li, Xiaosi Xu +1
Estimating the eigenvalue or energy gap of a Hamiltonian H is vital for studying quantum many-body systems. Particularly, many of the problems in quantum chemistry, condensed matte…
A Herculean task: Classical simulation of quantum computers
Xiaosi Xu, Simon Benjamin, Jinzhao Sun +2
In the effort to develop useful quantum computers simulating quantum machines with conventional computing resources is a key capability. Such simulations will always face limits pr…
Tensor-network-assisted variational quantum algorithm
Junxiang Huang, Wenhao He, Yukun Zhang +3
Near-term quantum devices generally suffer from shallow circuit depth and hence limited expressivity due to noise and decoherence. To address this, we propose tensor-network-assist…
Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz
Shaojun Guo, Jinzhao Sun, Haoran Qian +35
Quantum computational chemistry has emerged as an important application of quantum computing. Hybrid quantum-classical computing methods, such as variational quantum eigensolvers (…
Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
Yusen Wu, Zigeng Huang, Jinzhao Sun +3
In the noisy-intermediate-scale-quantum era, Variational Quantum Eigensolver (VQE) is a promising method to study ground state properties in quantum chemistry, materials science, a…
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
Changsu Cao, Jinzhao Sun, Xiao Yuan +3
Quantum computing has shown great potential in various quantum chemical applications such as drug discovery, material design, and catalyst optimization. Although significant progre…
Simulating the Spread of Infection in Networks with Quantum Computers
Xiaoyang Wang, Yinchenguang Lyu, Changyu Yao +1
We propose to use quantum computers to simulate infection spreading in networks. We first show the analogy between the infection distribution and spin-lattice configurations with I…
Quantum computing quantum Monte Carlo algorithm
Yukun Zhang, Yifei Huang, Jinzhao Sun +2
Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we…
Robust and Efficient Hamiltonian Learning
Wenjun Yu, Jinzhao Sun, Zeyao Han +1
With the fast development of quantum technology, the sizes of both digital and analog quantum systems increase drastically. In order to have better control and understanding of the…
Toward Practical Quantum Embedding Simulation of Realistic Chemical Systems on Near-term Quantum Computers
Weitang Li, Zigeng Huang, Changsu Cao +6
Quantum computing has recently exhibited great potentials in predicting chemical properties for various applications in drug discovery, material design, and catalyst optimization.…
Towards a variational Jordan-Lee-Preskill quantum algorithm
Junyu Liu, Zimu Li, Han Zheng +2
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 t…