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

10 citations · 14 across the 7 of their papers we have counts for

collaborators

8 papers

cond-mat.quant-gas2026

Enhanced multi-parameter metrology in dissipative Rydberg atom time crystals

Bang Liu, Jun-Rong Chen, Yu Ma +10

The pursuit of unprecedented sensitivity in quantum enhanced metrology has spurred interest in non-equilibrium quantum phases of matter and their symmetry breaking. In particular,…

physics.optics2026

Mechanisms and Opportunities for Tunable High-Purity Single Photon Emitters: A Review of Hybrid Perovskites and Prospects for Bright Squeezed Vacuum

Galy Yang, Eric Ashallay, Zhiming Wang +2

Single-photon emitters (SPEs) are central to quantum communication, computing, and metrology, yet their development remains constrained by trade-offs in purity, indistinguishabilit…

quant-ph2025

Enhancing the reachability of variational quantum algorithms via input-state design

Shaojun Wu, Shan Jin, Abolfazl Bayat +1

Variational quantum algorithms (VQAs) face an inherent trade-off between expressivity and trainability: deeper circuits can represent richer states but suffer from noise accumulati…

quant-ph2025

Hybrid boson sampling-neural network architecture for enhanced classification

Mohammad Sharifian, Abolfazl Bayat

Demonstration of quantum advantage for classical machine learning tasks remains a central goal for quantum technologies and artificial intelligence. Two major bottlenecks to this g…

quant-ph2025

Quantum reservoir computing for predicting and characterizing chaotic maps

Qingyu Li, Chiranjib Mukhopadhyay, Ludovico Minati +1

Quantum reservoir computing has emerged as a promising paradigm for harnessing quantum systems to process temporal data efficiently by bypassing the costly training of gradient-bas…

quant-ph2025★ 3 cited

Quantum Reservoir Computing for Realized Volatility Forecasting

Qingyu Li, Chiranjib Mukhopadhyay, Abolfazl Bayat +1

Recent advances in quantum computing have demonstrated its potential to significantly enhance the analysis and forecasting of complex classical data. Among these, quantum reservoir…

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★ 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…