Quantum Computing Research Center
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Building a Quantum Future Focusing on the development of quantum algorithms to build quantum computers that surpass classical systems. Quantum computing harnesses the principles of quantum superposition and entanglement to process information, offering the potential for significant speed-ups in solving various computational problems. Led by Professor Ming-Hsiu Hsieh, the Hon Hai Quantum Computing Research Center is advancing both hardware and software fronts. On the hardware side, the Center plans to establish an ion trap laboratory and develop quantum control systems and miniaturized devices. On the software side, the research areas include quantum optimization, quantum metrology, and fault-tolerant quantum computing. The main missions of the Center are as follows: 1. Conduct research and development on quantum computing topics 2. Actively explore practical applications well-suited for quantum computation 3. Cultivate and train technological talent in quantum-related fields 4. Promote academia-industry collaboration on quantum computing in Taiwan
🌟 HHQC’s Quantum Chemistry Simulation Research Accepted by International Journal Physical Review Research
The Hon Hai Quantum Computing Research Center (HHQC) announced that its latest collaborative research has been officially accepted for publication in the renowned international academic journal Physic
HHQC Research Published in "Quantum": Advancing Topological Data Analysis via Quantum Walks
The Hon Hai Quantum Computing Research Center (HHQC) announced that its latest collaborative research, "Quantum Walks on Simplicial Complexes and Harmonic Homology: Application to Topological Data Ana
🌟 HHQC Intern Kosuke Matsui Presents Latest Research at QCTiP 2026 in Oxford
The Hon Hai Quantum Computing Research Center (HHQC) announced that intern Kosuke Matsui traveled to the University of Oxford in April to participate in the prestigious Quantum Computing Theory in Pra
Director Min-Hsiu Hsieh Visits Singapore for Academic and Industry Exchange
Director Min-Hsiu Hsieh of the Hon Hai Quantum Computing Research Center (HHQC) visited Singapore from April 23 to 28, 2026, for academic and industry exchanges. This trip included an academic lecture
Quobly Software Team and Hon Hai Research Institute’s Quantum Computing Research Center Release Open-Source qpe-toolbox v1.0.0 Python Toolkit
qpe-toolbox is an open-source Python package designed for the compilation and simulation of Quantum Phase Estimation (QPE) circuits. Built on the tensor-network library quimb, it integrates classical
Director Min-Hsiu Hsieh Shares New Progress in Hybrid Quantum-Classical Computing at NVIDIA GTC 2026
At NVIDIA GTC 2026, the premier global event for AI and computing technology held in the United States from March 16 to 19, 2026, Min-Hsiu Hsieh, Director of the Quantum Computing Research Center at t
Foundations for quantum speedups in noisy quantum experiments.
July 03, 2026, 10am (Taipei time)
Ishaan Kannan
Harvard
Foundations for quantum speedups in noisy quantum experiments.
July 03, 2026, 10am (Taipei time)
Ishaan Kannan
Harvard
Phantom codes: Entangling logical qubits without physical operations
June 26, 2026, 10am (Taipei time)
Shayan Majidy
Harvard
Pauli Measurements Are Near-Optimal for Pure State Tomography
June 12, 2026, 10am (Taipei time)
Sabee Grewal
UT Austin
Publications
Characterizing Space Requirements for Quantum Computations via Signaling Conditions
Optimizing quantum chemistry simulations with a hybrid quantization scheme
Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
TensoMeta-VQC: A TensorTrain-Guided Meta-Learning Framework for Robust and Scalable Varia^onal Quantum Computing
Quantum Research Center Popular Science Talk：A story in computation
Speaker: Dr. Hakop PashayanWhen we think of computation, we usually picture servers humming in massive data centers or the silicon chips embedded in our smartphones. We view computation as a
Quantum Research Center Popular Science: The Geometric Contour of Data—From Topological Data Analysis to the Exponential Advantage of Quantum Algorithms
Speaker: Dr. Kuo-Chin ChenI. Introduction: A Geometric Perspective Breaking Through Traditional Dimensionality ReductionIn the contemporary era of Big Data and machine learning, we frequently need to
Building Efficient Algorithms with Error Correction, Clustering, and Noise Mitigation
The concept of quantum computing began to take shape in the 1980s, and a major breakthrough came in 1994 with the introduction of Shor's algorithm, which drew worldwide attention from the scientific c