QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent

TL;DR

QHDOPT is an open-source software that enables users to solve nonlinear optimization problems using quantum Hamiltonian descent, accessible to those without quantum computing expertise, and supports multiple quantum hardware backends.

Contribution

It introduces QHDOPT, a comprehensive software platform that simplifies quantum-based nonlinear optimization for users across different quantum hardware platforms.

Findings

Supports various quantum backends for optimization tasks.

Provides an accessible interface for non-experts.

Facilitates cross-hardware deployment of quantum algorithms.

Abstract

We develop an open-source, end-to-end software (named QHDOPT), which can solve nonlinear optimization problems using the quantum Hamiltonian descent (QHD) algorithm. QHDOPT offers an accessible interface and automatically maps tasks to various supported quantum backends (i.e., quantum hardware machines). These features enable users, even those without prior knowledge or experience in quantum computing, to utilize the power of existing quantum devices for nonlinear and nonconvex optimization tasks. In its intermediate compilation layer, QHDOPT employs SimuQ, an efficient interface for Hamiltonian-oriented programming, to facilitate multiple algorithmic specifications and ensure compatible cross-hardware deployment. The detailed documentation of QHDOPT is available at https://github.com/jiaqileng/QHDOPT.