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20222026
most citedMeasurement-efficient quantum Krylov subspace diagonalisation

11 citations · 26 across the 8 of their papers we have counts for

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8 papers

quant-ph2026

Low-cost algorithm-to-execution framework for surface-code quantum computing

Yunxin Tang, Zixuan Huo, Junxiang Huang +12

The execution of useful quantum algorithms on fault-tolerant processors requires more than a mapping from logical gates to encoded operations: the spatial organization, non-Cliffor…

quant-ph2026

Transformer refined quantum sampling for strongly correlated electronic structure

Xiongzhi Zeng, Ming Gong, Bowen Kan +18

Although quantum computing offers a promising solution for strongly correlated system simulation, existing algorithms face significant bottlenecks on current noisy intermediate-sca…

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★ 1 cited

Super-bath Quantum Eigensolver

Tianren Wang, Zongkang Zhang, Bing-Nan Lu +2

The simulation of the dynamics of a system coupled to a low-temperature environment is a promising application of quantum computers to determine ground-state properties of physical…

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★ 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…