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Quantum Computing for Lattice Field Theory and High-Energy Physics

24–25 Mar 2025
National Oceanography Centre, University of Southampton
Europe/London timezone

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Contribution List

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  1. 3. Quantum simulation of hadron scattering with NISQ devices
    Dr Saurabh V. Kadam (University of Washington, Seattle)
    24/03/2025, 09:30

    Hamiltonian simulation of lattice gauge theories (LGTs) offers novel avenues for studying scattering processes in gauge theories. With the advent of quantum computers, it has become a reality. We present a digital quantum algorithm for simulating scattering in a 1+1D Z2 LGT on quantum hardware. The algorithm begins by preparing an initial scattering state composed of multiple well-separated...

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  2. 4. TBD
    Prof. Sergii Strelchuk (University of Oxford)
    24/03/2025, 10:05
  3. 5. Maths-to-code: domain-specific compiler architecture
    Prof. Paul Kelly (Imperial College London)
    24/03/2025, 11:10

    This talk is not about quantum computing, nor physics: it’s about software tools that generate code from the maths.  I want to show you some examples of what is possible.  The big idea is to capture an abstract model of the computation that makes hard optimisations easy.  My aim is to seed conversations about how to do this for the applications at this workshop.

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  4. 6. Versatile cross-platform compilation toolchain for Schrödinger-style quantum circuit simulation
    Yuncheng Lu (Imperial College London)
    24/03/2025, 11:45

    While existing quantum hardware resources have limited availability and reliability, there is a growing demand for exploring and verifying quantum algorithms. Efficient classical simulators for high-performance quantum simulation are critical to meeting this demand. However, due to the vastly varied characteristics of classical hardware, implementing hardware-specific optimizations for...

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  5. 7. Exponential inefficiency in quantum simulation of bosons, and its cure
    Masanori Hanada
    24/03/2025, 12:05

    Hamiltonian quantum simulation of bosons on digital quantum computers requires truncating the Hilbert space to finite dimensions. We highlight that naive schemes, such as Fock basis truncation, can result in an exponentially large number of Pauli strings in the truncated Hamiltonian, with regard to the number of qubits Q assigned to each boson. Even a small departure from the diagonal form can...

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  6. 8. Phase transition of non-Hermitian systems using variational quantum techniques
    James Hancock (University of Plymouth)
    24/03/2025, 12:25

    The motivation for studying non-Hermitian systems and the role of {PT}-symmetry is discussed. We investigate the use of a quantum algorithm to find the eigenvalues and eigenvectors of non-Hermitian Hamiltonians, with applications to quantum phase transitions. We use a recently proposed variational algorithm.

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  7. 9. Towards scalable quantum simulation on heterogeneous computing clusters
    Ali Rezaei (University of Edinburgh)
    24/03/2025, 14:00

    I will present our recent work on developing a scalable quantum simulator prototype using the open-source QuEST toolkit. We tackle two major scalability challenges: increasing the number of qubits in simulations and enhancing simulation speed. Initially focusing on optimization, we refactored QuEST’s core data structure to improve cache locality and multithreaded performance on single-node,...

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  8. 10. Qubit Approach of Quantum Electrodynamics
    Zong-Gang Mou (University of Southampton)
    24/03/2025, 14:35
  9. 12. Dynamics of non-Abelian lattice gauge theories: a Loop-String-Hadron (LSH) approach
    Emil Mathew (BITS Pilani KK Birla Goa Campus)
    24/03/2025, 14:55
  10. 11. UNESCO's International Year of Quantum Science and Technology
    Graham Van Goffrier (University of Southampton)
    24/03/2025, 15:15
  11. 13. Quantum error suppression for quantum simulation
    Zhenyu Cai (University of Oxford)
    24/03/2025, 15:55

    In this talk, I will provide a brief introduction to quantum error correction and mitigation, emphasising their requirements and applicability in quantum simulation. I will then discuss the interplay between these techniques in the emerging early fault-tolerant era, highlighting how quantum error mitigation can be effectively applied to sampling-based algorithms such as quantum phase...

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  12. 14. Quantum many-body scars in 2+1D gauge theories
    Marina Krstic Marinkovic (ETH Zurich)
    24/03/2025, 16:30

    Gauge theories are fundamental to the Standard Model of particle physics, and their non-perturbative aspects have traditionally been studied through classical simulations of a theory formulated on a space-time lattice. However, these simulations are often computationally expensive, and many observables remain entirely inaccessible. Quantum simulators present an exciting alternative, where...

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  13. 15. Quantum computing for real-time dynamics of (2+1)-d quantum link models
    Anthony Gandon (ETH Zürich / IBM Quantum Zürich)
    24/03/2025, 17:05
  14. 16. Complementary approaches to SO(3) quantum link models in 1+1D and 2+1D
    Graham Van Goffrier (University of Southampton)
    24/03/2025, 17:25
  15. 17. Quantum variational methods for supersymmetric quantum mechanics
    Emanuele Mendicelli (University of Liverpool (United Kingdom))
    25/03/2025, 09:00

    Supersymmetric models propose a symmetry linking bosons and fermions, but the infamous sign problem obstructs lattice studies of non-perturbative aspects like spontaneous supersymmetry breaking and real-time evolution, a limitation absent in quantum computing.

    The lattice supersymmetric quantum mechanics model provides a valuable testbed for exploring key challenges in quantum computing,...

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  16. 18. Algorithms for preparing good quantum number states
    Subhayan Roy Moulik (University of Cambridge)
    25/03/2025, 09:35

    TBD

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  17. 19. Leveraging quantum hardware for improved simulations of lattice field theories
    Jack Y. Araz (Stony Brook University)
    25/03/2025, 10:10

    Simulating lattice field theories on quantum hardware presents significant challenges, particularly in state preparation and the efficient representation of mixed degrees of freedom. In this talk, I will discuss how quantum optimal control techniques can be used to mitigate barren plateaus in standard gate-based state preparation, enabling more efficient initialization of quantum states...

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  18. 20. TBD
    Dr Dorota Maria Grabowska (University of Washington (US))
    25/03/2025, 14:55
  19. 21. Real-time scattering processes with continuous-variable quantum computers
    Simon Jonathan Williams (Institute of Particle Physics Phenomenology, University of Durham)
    25/03/2025, 15:30

    In this talk, I will present a framework for simulating the real-time dynamics of quantum field theories (QFTs) using continuous-variable quantum computing (CVQC). Focusing on (1+1)-dimensional phi4 scalar field theory, the approach employs the Hamiltonian formalism to map the theory onto a spatial lattice, with fields represented as quantum harmonic oscillators. Measurement-based quantum...

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  20. 22. Investigating solving optimization problems on a circuit based quantum computer
    Dr Craig McNeile (Plymouth University)
    25/03/2025, 15:50

    We present a status report of our work on developing algorithms to use circuit based quantum computers to solve Quadratic Unconstrained Binary Optimization (QUBO) problems. The QUBO problems are from two practical use cases. The first example is the optimal placement of wind turbines within a windfarm to maximize the power production (arXiv:2312.13123). The second QUBO problem we investigated...

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  21. 23. Quantum machine learning in particle physics
    Marcin Jastrzebski (UCL)
    25/03/2025, 16:10

    I provide an overview of quantum machine learning and its possible applications to experimental particle physics analysis tasks, highlighting work done by my research group. I cover reconstruction, anomaly detection, image processing, kernel methods and geometric learning.

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  22. 24. Quantum inspired application into battery cell manufacturing
    Dr Biswaranjan Senapati (University of Arkansas)
    25/03/2025, 16:30
  23. 1. Registration / Arrival
  24. 2. Roadmap Session