10 citations · 41 across the 18 of their papers we have counts for
18 papers
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…
Z2 Lattice Gauge Theory on Non-trivial Topology and Its Quantum Simulation
Jiaqi Hu, Shu Tian, Xiaopeng Cui +3
Wegner duality is essential for Z2 lattice gauge theory, yet the duality on non-trivial topologies has remained implicit. We extend Wegner duality to arbitrary topology and dimensi…
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…
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…
Cost-driven prunings for iterative solving of constrained routing problem with SRLG-disjoint protection
P. A. Mosharev, Choon-Meng Lee, Xu Shu +2
The search for the optimal pair of active and protection paths in a network with Shared Risk Link Groups (SRLG) is a challenging but high-value problem in the industry that is inev…
Quantum-inspired Beamforming Optimization for Quantized Phase-only Massive MIMO Arrays
Yutong Jiang, Hangyu Ge, Bi-Ying Wang +7
This paper introduces an innovative quantum-inspired method for beamforming (BF) optimization in multiple-input multiple-output (MIMO) arrays. The method leverages the simulated bi…
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…
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…
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…
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…
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…
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…
Quantum molecular docking with quantum-inspired algorithm
Yunting Li, Xiaopeng Cui, Zhaoping Xiong +5
Molecular docking (MD) is a crucial task in drug design, which predicts the position, orientation, and conformation of the ligand when bound to a target protein. It can be interpre…
Quantum-Inspired Machine Learning for Molecular Docking
Runqiu Shu, Bowen Liu, Zhaoping Xiong +5
Molecular docking is an important tool for structure-based drug design, accelerating the efficiency of drug development. Complex and dynamic binding processes between proteins and…
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…
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…
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…
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…