activity
20172026
most citedVariational algorithms for linear algebra

181 citations · 626 across the 22 of their papers we have counts for

collaborators

22 papers

quant-ph2026

Quantum computing for effective nuclear lattice model

Zhushuo Liu, Jia-ai Shi, Bing-Nan Lu +1

Nuclear lattice effective field theory has become an important framework for quantum many-body calculations in nuclear physics, yet its classical implementation remains increasingl…

physics.chem-ph2025★ 3 cited

Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure

Tianyi Li, Yumeng Zeng, Qiming Ding +6

In the study of non-adiabatic chemical processes such as photocatalysis and photosynthesis, non-adiabatic molecular dynamics (NAMD) is an indispensable theoretical tool, which requ…

quant-ph2025

Obtaining Accurate Ground-State Properties on Near-term Quantum Devices

Qi-Ming Ding, Jiawei Peng, Junxiang Huang +6

Accurate ground-state calculations on noisy quantum computers are fundamentally limited by restricted ansatz expressivity and unavoidable hardware errors. We introduce a hybrid-qua…

quant-ph2025★ 1 cited

Quantum-enhanced neural networks for quantum many-body simulations

Zongkang Zhang, Ying Li, Xiaosi Xu

Neural quantum states (NQS) have gained prominence in variational quantum Monte Carlo methods in approximating ground-state wavefunctions. Despite their success, they face limitati…

quant-ph2024

Leveraging junk information to enhance the quantum error mitigation

Ruixia Wang, Xiaosi Xu, Fei Yan +4

Noise in quantum information processing poses a significant obstacle to achieving precise results. Quantum error mitigation techniques are crucial for improving the accuracy of exp…

quant-ph2024

Quantum-enhanced Green's function Monte Carlo for excited states of nuclear shell model

Yongdan Yang, Ruyu Yang, Xiaosi Xu

We present a hybrid quantum-classical Green's function Monte Carlo (GFMC) algorithm for estimating the excited states of the nuclear shell model. The conventional GFMC method, wide…

quant-ph2023★ 6 cited

Maximising Quantum-Computing Expressive Power through Randomised Circuits

Yingli Yang, Zongkang Zhang, Anbang Wang +3

In the noisy intermediate-scale quantum era, variational quantum algorithms (VQAs) have emerged as a promising avenue to obtain quantum advantage. However, the success of VQAs depe…

quant-ph2023★ 2 cited

Shadow-based quantum subspace algorithm for the nuclear shell model

Ruyu Yang, Tianren Wang, Bing-Nan Lu +2

In recent years, researchers have been exploring the applications of noisy intermediate-scale quantum (NISQ) computation in various fields. One important area in which quantum comp…

quant-ph2023★ 1 cited

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…

quant-ph2023★ 15 cited

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…

quant-ph2023★ 11 cited

Measurement-efficient quantum Krylov subspace diagonalisation

Zongkang Zhang, Anbang Wang, Xiaosi Xu +1

The Krylov subspace methods, being one category of the most important classical numerical methods for linear algebra problems, can be much more powerful when generalised to quantum…

quant-ph2022★ 1 cited

Quantum algorithms for optimal effective theory of many-body systems

Yongdan Yang, Zongkang Zhang, Xiaosi Xu +2

A common situation in quantum many-body physics is that the underlying theories are known but too complicated to solve efficiently. In such cases one usually builds simpler effecti…

quant-ph2022★ 17 cited

Quantum-assisted Monte Carlo algorithms for fermions

Xiaosi Xu, Ying Li

Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to…

quant-ph2022★ 6 cited

Quantum algorithms for Schrieffer-Wolff transformation

Zongkang Zhang, Yongdan Yang, Xiaosi Xu +1

The Schrieffer-Wolff transformation aims to solve degenerate perturbation problems and give an effective Hamiltonian that describes the low-energy dynamics of the exact Hamiltonian…

quant-ph2019★ 35 cited

Variational circuit compiler for quantum error correction

Xiaosi Xu, Simon C. Benjamin, Xiao Yuan

Quantum error correction is vital for implementing universal quantum computing. A key component is the encoding circuit that maps a product state of physical qubits into the encode…

quant-ph2019★ 181 cited

Variational algorithms for linear algebra

Xiaosi Xu, Jinzhao Sun, Suguru Endo +3

Quantum algorithms have been developed for efficiently solving linear algebra tasks. However, they generally require deep circuits and hence universal fault-tolerant quantum comput…

quant-ph2019★ 59 cited

Mitigating Coherent Noise Using Pauli Conjugation

Zhenyu Cai, Xiaosi Xu, Simon C. Benjamin

Coherent noise can be much more damaging than incoherent (probabilistic) noise in the context of quantum error correction. One solution is to use twirling to turn coherent noise in…

quant-ph2019★ 62 cited

Demonstration of Adiabatic Variational Quantum Computing with a Superconducting Quantum Coprocessor

Ming-Cheng Chen, Ming Gong, Xiao-Si Xu +15

Adiabatic quantum computing enables the preparation of many-body ground states. This is key for applications in chemistry, materials science, and beyond. Realisation poses major ex…

quant-ph2018★ 11 cited

A high threshold code for modular hardware with asymmetric noise

Xiaosi Xu, Qi Zhao, Xiao Yuan +1

We consider an approach to fault tolerant quantum computing based on a simple error detecting code operating as the substrate for a conventional surface code. We develop a customis…

quant-ph2018★ 41 cited

Network architecture for a topological quantum computer in silicon

Brandon Buonacorsi, Zhenyu Cai, Eduardo B. Ramirez +7

A design for a large-scale surface code quantum processor based on a node/network approach is introduced for semiconductor quantum dot spin qubits. The minimal node contains only 7…

quant-ph2017★ 8 cited

An integrity measure to benchmark quantum error correcting memories

Xiaosi Xu, Niel de Beaudrap, Joe O'Gorman +1

Rapidly developing experiments across multiple platforms now aim to realise small quantum codes, and so demonstrate a memory within which a logical qubit can be protected from nois…

quant-ph2017★ 166 cited

Assessing the progress of trapped-ion processors towards fault-tolerant quantum computation

A. Bermudez, X. Xu, R. Nigmatullin +12

A quantitative assessment of the progress of small prototype quantum processors towards fault-tolerant quantum computation is a problem of current interest in experimental and theo…