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quant-ph2026
Improving Generalization and Trainability of Quantum Eigensolvers via Graph Neural Encoding
Jungyun Lee, Daniel K. Park
Determining the ground state of a many-body Hamiltonian is a central problem across physics, chemistry, and combinatorial optimization, yet it is often classically intractable due…
quant-ph2024
Quadratic speed-ups in quantum kernelized binary classification
Jungyun Lee, Daniel K. Park
Classification is at the core of data-driven prediction and decision-making, representing a fundamental task in supervised machine learning. Recently, several quantum machine learn…