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20242026
most citedMindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

10 citations · 17 across the 4 of their papers we have counts for

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quant-ph2026

Weighted Nested Commutators for Scalable Counterdiabatic State Preparation

Jialiang Tang, Xi Chen, Zhi-Yuan Wei

Counterdiabatic (CD) driving enables efficient quantum state preparation, but it requires implementing highly nonlocal adiabatic gauge potentials (AGP) that are impractical to comp…

quant-ph2025

Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem

Ruoqian Xu, Sebastián V. Romero, Jialiang Tang +2

The bin packing problem, a classical NP-hard combinatorial optimization challenge, has emerged as a promising candidate for quantum computing applications. In this work, we address…

quant-ph202410 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

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-ph20246 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…