QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent

S Kushnir, J Leng, Y Peng, L Fan… - INFORMS Journal on …, 2024 - pubsonline.informs.org
We develop an open-source, end-to-end software (named QHDOPT), which can solve
nonlinear optimization problems using the quantum Hamiltonian descent (QHD) algorithm …

A copositive framework for analysis of hybrid Ising-classical algorithms

R Brown, DE Bernal Neira, D Venturelli… - SIAM Journal on …, 2024 - SIAM
Recent years have seen significant advances in quantum/quantum-inspired technologies
capable of approximately searching for the ground state of Ising spin Hamiltonians. The …

Accelerating continuous variable coherent ising machines via momentum

RA Brown, D Venturelli, M Pavone… - … Conference on the …, 2024 - Springer
Abstract The Coherent Ising Machine (CIM) is a non-conventional architecture that takes
inspiration from physical annealing processes to solve Ising problems heuristically. Its …

Neural deep operator networks representation of coherent ising machine dynamics

A Taassob, D Venturelli, PA Lott - Machine Learning with New …, 2023 - openreview.net
Coherent Ising Machines (CIMs) are optical devices that employ parametric oscillators to
tackle binary optimization problems, whose simplified dynamics are described by a series of …

Quantum Algorithms for Nonconvex Optimization: Theory and Implementation

J Leng - 2024 - search.proquest.com
Continuous optimization problems arise in virtually all disciplines of quantitative research.
While convex optimization has been well-studied in recent decades, large-scale nonconvex …

Exploring Hybrid Algorithms and Optimization Strategies in Non-Conventional Computing Architectures

RA Brown - 2024 - search.proquest.com
The relentless increase in computing workloads coupled with the potential slowdown of
Moore's law has spurred the development of both non-conventional computing architectures …