SQHD is a gate-based quantum algorithm that approximates a Lindblad dynamics blending Hamiltonian descent with stochastic component noise, giving an order-2 weak approximation and an O(1/t + eta sigma*) convergence bound on convex objectives.
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Stochastic Quantum Hamiltonian Descent
SQHD is a gate-based quantum algorithm that approximates a Lindblad dynamics blending Hamiltonian descent with stochastic component noise, giving an order-2 weak approximation and an O(1/t + eta sigma*) convergence bound on convex objectives.