Quantum Information Science · PHY 568
General parameter-shift rules
From the two-point parameter-shift rule to Fourier-based gradient reconstruction, with applications to QAOA and quantum natural gradients.
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Selected work in quantum computing, reinforcement learning, and numerical mathematics.
Reinforcement Learning · AMS 691
PPO & GRPO in Atari Galaxian
A comparison of PPO and GRPO in Atari Galaxian, examining training stability and performance when learning from visual observations.
View coursework →Quantum Programming
HHL & QSVT
HHL and quantum singular value transformation, alongside exercises using Qiskit simulators and runtime.
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Quantum computing
- Quantum Programming
- Quantum Information Science
Machine learning
- Reinforcement Learning
- Natural Language Processing
Numerical mathematics
- Numerical Linear Algebra
- Numerical Methods for PDEs
- Foundations of Numerical Analysis