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20232026
most citedMindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

10 citations · 41 across the 18 of their papers we have counts for

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13 papers · 1 filter

quant-ph2026

Quantum-Enhanced Multi-Objective Optimization

Maolin Luo, Jiapei Zhuang, Zuoheng Zou +1

Multi-objective combinatorial optimization requires identifying Pareto-optimal trade-off solutions among conflicting objectives, often making it more demanding than its single-obje…

quant-ph2025

Pilot-Wave Simulator: Exact Classical Sampling from Ideal and Noisy Quantum Circuits up to Hundreds of Qubits

Gleb Kalachev, Pavel Mosharev, Zuoheng Zou +2

Quantum circuit simulators running on classical computers offer a vital platform for designing, testing, and optimizing quantum algorithms, driving innovation despite limited acces…

quant-ph2025★ 1 cited

Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits

Xuhao Zhu, Zuoheng Zou, Feitong Jin +31

A pivotal task for quantum computing is to speed up solving problems that are both classically intractable and practically valuable. Among these, combinatorial optimization problem…

quant-ph2024★ 10 cited

MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

Xusheng Xu, Jiangyu Cui, Zidong Cui +36

We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…

quant-ph2024★ 2 cited

Speedup of high-order unconstrained binary optimization using quantum Z2 lattice gauge theory

Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng +3

An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficient than quadratic…

quant-ph2024★ 5 cited

Exploring Ground States of Fermi-Hubbard Model on Honeycomb Lattices with Counterdiabaticity

Jialiang Tang, Ruoqian Xu, Yongcheng Ding +6

Exploring the ground state properties of many-body quantum systems conventionally involves adiabatic processes, alongside exact diagonalization, in the context of quantum annealing…

quant-ph2024★ 1 cited

Variational simulation of higher-spin systems on qubit-based quantum simulators

Chufan Lyu, Zuoheng Zou, Xusheng Xu +2

Qubit-based quantum simulators naturally target two-level systems, whereas many quantum many-body problems are intrinsically level. Encodings from qudits to qubits then enlarge…

quant-ph2024★ 2 cited

Cost of Locally Approximating High-Dimensional Ground States of Contextual Quantum Models

Kaiyan Yang, Yanzheng Zhu, Xiao Zeng +3

Contextuality, one of the strongest forms of quantum correlations, delineates the quantum world and the classical one. It has been shown recently that some quantum models, in the f…

quant-ph2024

Efficient molecular conformation generation with quantum-inspired algorithm

Yunting Li, Xiaopeng Cui, Zhaoping Xiong +7

Conformation generation, also known as molecular unfolding (MU), is a crucial step in structure-based drug design, remaining a challenging combinatorial optimization problem. Quant…

quant-ph2024★ 4 cited

Variational Quantum Circuits Enhanced Generative Adversarial Network

Runqiu Shu, Xusheng Xu, Man-Hong Yung +1

Generative adversarial network (GAN) is one of the widely-adopted machine-learning frameworks for a wide range of applications such as generating high-quality images, video, and au…

quant-ph2024★ 6 cited

Benchmarking hybrid digitized-counterdiabatic quantum optimization

Ruoqian Xu, Jialiang Tang, Pranav Chandarana +4

Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of near-term quantum computers, utilizing parameterized quantum ci…

quant-ph2024★ 5 cited

Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries

Younes Javanmard, Ugne Liaubaite, Tobias J. Osborne +2

The Variational Quantum Eigensolver (VQE) algorithm, as applied to finding the ground state of a Hamiltonian, is particularly well-suited for deployment on noisy intermediate-scale…

quant-ph2023★ 1 cited

Robust Control of Single-Qubit Gates at the Quantum Speed Limit

Xi Cao, Jiangyu Cui, Man Hong Yung +1

Fastness and robustness are both critical in the implementation of high-fidelity gates for quantum computation, but in practice, a trade-off has to be made between them. In this pa…