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Harsh Wadhwa

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#machine learning Preprint Mar 2025

Reducing QPU Calls in Variational Quantum Algorithms via Classical Offloading of Gradient Computation

This work evaluates ground-state estimation of 6- to 18-qubit Hamiltonians using the Variational Quantum Eigensolver (VQE) and quantum phase classification for Hamiltonians up to 12 qubits and uses these methods as a warm-start pretraining strategy for Hamiltonians with exponential-dimensional dynamical Lie algebras.

Rahul Bhowmick, Harsh Wadhwa, Avinash Singh et al. · 4 citations

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