Researcher profile

Man‐Hong Yung

7 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Can Chaotic Quantum Circuits Maintain Quantum Supremacy under Noise?

    2017 · arXiv (Cornell University)

    Although the emergence of a fully-functional quantum computer may still be far away from today, in the near future, it is possible to have medium-size, special-purpose, quantum devices that can perform computational tasks not efficiently …

  2. Multi-Tensor Contraction for XEB Verification of Quantum Circuits

    2021 · arXiv (Cornell University)

    The computational advantage of noisy quantum computers has been demonstrated by sampling the bitstrings of quantum random circuits. An important issue is how the performance of quantum devices could be quantified in the so-called "supremacy …

  3. Variational quantum circuit learning of entanglement purification in multiple degrees of freedom

    2022 · arXiv (Cornell University)

    Entanglement purification is a crucial technique for promising the effective entanglement channel in noisy large-scale quantum networks, yet complicated in designing protocols in multi-degree of freedom (DoF). To execute the above tasks easily and effectively, …

  4. Symmetry enhanced variational quantum spin eigensolver

    2023 · Quantum

    The variational quantum-classical algorithms are the most promising approach for achieving quantum advantage on near-term quantum simulators. Among these methods, the variational quantum eigensolver has attracted a lot of attention in recent years. While it …

  5. Variational simulation of higher-spin systems on qubit-based quantum simulators

    2026 · Physical Review Research

    Qubit-based quantum simulators naturally target two-level systems, whereas many quantum many-body problems are intrinsically <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:mi>d</a:mi> </a:math> level. Encodings from qudits to qubits then enlarge the Hilbert space and can introduce unphysical states that …

  6. MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

    2024 · arXiv (Cornell University)

    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) algorithms. Leveraging the robust support of MindSpore, an advanced open-source deep learning …

  7. Quantum-annealing-inspired algorithms for multijet clustering

    2024 · arXiv (Cornell University)

    Jet clustering or reconstruction is a crucial component at high energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadronization of quarks and gluons. It is a complicated combinatorial …