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• Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC
  2021 · 85 citations
• Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
  2021 · 4 citations
• Robust Finite-Temperature Many-Body Scarring on a Quantum Computer
  2023 · 1 citations
• Floquet-engineered fast SNAP gates in weakly coupled circuit-QED systems
  2025
• Quantum Computing for Neutrino-nucleus Scattering
  2019
• Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits
  2020
• Perturbative readout error mitigation for near term quantum computers
  2021
• Primitive Quantum Gates for Dihedral Gauge Theories
  2021
• Qubit assignment using time reversal
  2022
• Fermionic approach to variational quantum simulation of Kitaev spin models
  2022
• Simulating scalar field theories on quantum computers with limited resources
  2022
• Noise-induced transition in optimal solutions of variational quantum algorithms
  2024
• Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
  2024