About
I am a researcher at the Center for Computational Quantum Physics in the Flatiron Institute in New York. My interests are in variational methods for the quantum many-body problem. I'm always looking for excuses to learn about cool math.
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Optimizing quantum circuits with Riemannian gradient flow, (2023), https://journals.aps.org/pra/abstract/10.1103/PhysRevA.107.062421
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Geometric Quantum Machine Learning with Horizontal Quantum Gates, (2024), https://arxiv.org/pdf/2406.04418
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Here comes the SU(N): multivariate quantum gates and gradients, (2024), https://quantum-journal.org/papers/q-2024-03-07-1275/
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