Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology
Variational Quantum Eigensolvers (VQEs) represent a promising approach to computing
molecular ground states and energies on modern quantum computers. These approaches …
molecular ground states and energies on modern quantum computers. These approaches …
Randomized subspace gradient method for constrained optimization
R Nozawa, PL Poirion, A Takeda - arXiv preprint arXiv:2307.03335, 2023 - arxiv.org
We propose randomized subspace gradient methods for high-dimensional constrained
optimization. While there have been similarly purposed studies on unconstrained …
optimization. While there have been similarly purposed studies on unconstrained …
Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization
R Nozawa, PL Poirion, A Takeda - arXiv preprint arXiv:2401.13944, 2024 - arxiv.org
Zeroth-order optimization, which does not use derivative information, is one of the significant
research areas in the field of mathematical optimization and machine learning. Although …
research areas in the field of mathematical optimization and machine learning. Although …