Papers

• The magic of top quarks (2024)
  Chris D. White and Martin J. White
  4.58
• A quantum algorithm for the n-gluon MHV scattering amplitude (2025)
  Erik Bashore et al.
  3.81
• Toward Axion Signal Extraction In Semiconductor Spin Qubits Via Spectral Engineering (2025)
  Xiangjun Tan, Zhanning Wang
  3.75
• Universal quantum computation in topological quantum neural networks and amplituhedron representation (2025)
  Chris Fields et al.
  1.39
• Real-Time Scattering on Quantum Computers via Hamiltonian Truncation (2025)
  James Ingoldby et al.
  1.17
• 1 Particle - 1 Qubit: Particle Physics Data Encoding for Quantum Machine Learning (2025)
  Aritra Bal et al.
  1.00
• Search for QCD axion dark matter with transmon qubits and quantum circuit (2024)
  Shion Chen et al.
  0.72
• Minimally-Entangled State Preparation of Localized Wavefunctions on Quantum Computers (2019)
  Natalie Klco and Martin J. Savage
  —
• Quantum Machine Learning for Particle Physics using a Variational Quantum Classifier (2020)
  Andrew Blance and Michael Spannowsky
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• Hierarchical Qubit Maps and Hierarchical Quantum Error Correction (2021)
  Natalie Klco and Martin J. Savage
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• Practical considerations for the preparation of multivariate Gaussian states on quantum computers (2021)
  Christian W. Bauer et al.
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• Quantum-classical simulation of quantum field theory by quantum circuit learning (2023)
  Kazuki Ikeda
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• Loop Feynman integration on a quantum computer (2024)
  Jorge J. Mart\'inez de Lejarza et al.
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• Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting (2024)
  Alessandro D'Elia et al.
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