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• Protocols for Trainable and Differentiable Quantum Generative Modelling
  2022 · 7 citations
• Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations
  2023 · 3 citations
• What can we learn from quantum convolutional neural networks?
  2023 · 2 citations
• Experimental differentiation and extremization with analog quantum circuits
  2025
• Evaluation of derivatives using approximate generalized parameter shift rule
  2025
• Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers
  2020
• Quantum Approximate Optimization for Hard Problems in Linear Algebra
  2020
• Solving nonlinear differential equations with differentiable quantum circuits
  2020
• Generalized quantum circuit differentiation rules
  2021
• Quantum Kernel Methods for Solving Differential Equations
  2022