1 citations · 2 across the 5 of their papers we have counts for
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Consensus-based Distributed Quantum Kernel Learning for Speech Recognition
Kuan-Cheng Chen, Wenxuan Ma, Xiaotian Xu
This paper presents a Consensus-based Distributed Quantum Kernel Learning (CDQKL) framework aimed at improving speech recognition through distributed quantum computing.CDQKL addres…
Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware
Kuan-Cheng Chen, Xiatian Xu, Felix Burt +3
This paper introduces a noise-aware distributed Quantum Approximate Optimization Algorithm (QAOA) tailored for execution on near-term quantum hardware. Leveraging a distributed fra…
HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers
Xiaotian Xu, Kuan-Cheng Chen, Robert Wille
In this paper, we introduce HamilToniQ, an open-source, and application-oriented benchmarking toolkit for the comprehensive evaluation of Quantum Processing Units (QPUs). Designed…
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations
Kuan-Cheng Chen, Xiaoren Li, Xiaotian Xu +2
Achieving high-performance computation on quantum systems presents a formidable challenge that necessitates bridging the capabilities between quantum hardware and classical computi…
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov +2
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acce…