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QUBO.jl is a Julia-based library that streamlines the translation of standard optimization problems into QUBO format for deployment on quantum annealers and other physics-inspired hardware. By integrating directly with JuMP, it lowers the barrier to entry for researchers applying variational algorithms like VQE or gate-circuit optimizations across diverse computational backends. This tool represents a significant step forward in unifying classical modeling frameworks with emerging quantum solution methods.
QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
arXiv:2307.02577v3 Announce Type: replace-cross Abstract: We present QUBO.jl, an end-to-end Julia package for working with QUBO (Quadratic Unconstrained Binary Optimization) instances. This tool aims to convert a broad range of optimization problems in JuMP, Julia's mathematical programming package, for straightforward application in many physics and physics-inspired solution methods whose standard model form is equivalent to QUBO. These methods include quantum annealing, quantum gate-circuit optimization algorithms (Quantum Optimization Alternating Ansatz, Variational Quantum Eigensolver), other hardware-accelerated platforms, such as Coherent Ising Machines and Simulated Bifurcation Machines, and more traditional methods such as simulated annealing. In addition to working with reformulations, QUBO.jl allows its users to interface with the aforementioned hardware, sending QUBO models to these devices and retrieving results for subsequent analysis. QUBO.jl was written as a JuMP / MathOptInterface (MOI) layer that automatically maps between the input and output frames, thus providing a smooth modeling experience.
Abstract:We present this http URL, an end-to-end Julia package for working with QUBO (Quadratic Unconstrained Binary Optimization) instances. This tool aims to convert a broad range of optimization problems in JuMP, Julia's mathematical programming package, for straightforward application in many physics and physics-inspired solution methods whose standard model form is equivalent to QUBO. These methods include quantum annealing, quantum gate-circuit optimization algorithms (Quantum Optimization Alternating Ansatz, Variational Quantum Eigensolver), other hardware-accelerated platforms, such as Coherent Ising Machines and Simulated Bifurcation Machines, and more traditional methods such as simulated annealing. In addition to working with reformulations, this http URL allows its users to interface with the aforementioned hardware, sending QUBO models to these devices and retrieving results for subsequent analysis. this http URL was written as a JuMP / MathOptInterface (MOI) layer that automatically maps between the input and output frames, thus providing a smooth modeling experience.
Optimization and Control (math.OC); Quantum Physics (quant-ph)
arXiv:2307.02577 [math.OC]
(or arXiv:2307.02577v3 [math.OC] for this version)
https://doi.org/10.1080/10556788.2026.2702926 DOI(s) linking to related resources
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