Thermodynamic significance of QUBO encoding on quantum annealers

TL;DR

This paper investigates how different QUBO encodings affect the thermodynamic behavior and computational success of quantum annealers, revealing that penalty choices influence energy landscape, dissipation, and efficiency.

Contribution

It introduces a thermodynamic analysis of QUBO encodings, linking penalty parameters to dissipation and efficiency, and proposes thermodynamics-aware encoding strategies for quantum annealing.

Findings

Sharp transitions in feasibility and success rates across encodings.

Encoding choices reorganize dissipation and irreversibility.

Weak penalties lead to low-energy infeasible states, strong penalties increase irreversibility.

Abstract

Quadratic unconstrained binary optimization (QUBO) is the standard interface to quantum annealers, yet a single constrained task admits many QUBO encodings whose penalty choices reshape the energy landscape experienced by hardware. We study a Job Shop Scheduling instance using a two-parameter family of encodings controlled by penalty weights $p_{\rm sum}$ (one-hot/sum constraints) and $p_{\rm pair}$ (precedence constraints). Sweeping $(p_{\rm sum},p_{\rm pair})$, we observe sharp transitions in feasibility and solver success across classical annealing-inspired heuristics and on a D-Wave Advantage processor. Going beyond solution probability, we treat the annealer as an open thermodynamic system and perform cyclic reverse-annealing experiments initialized from thermal samples, measuring the stochastic processor energy change. From the first two moments of this energy change we infer lower bounds on entropy production, work, and exchanged heat via thermodynamic uncertainty relations, and corroborate the observed trends with adiabatic master equation simulations. We find that the same encoding transitions that govern computational hardness also reorganize dissipation: weak penalties generate low-energy infeasible manifolds, while overly strong penalties suppress the effective problem energy scale and increase irreversibility, reducing the thermodynamic efficiency. Our results establish QUBO penalties as thermodynamic control knobs and motivate thermodynamics-aware encoding strategies for noisy intermediate-scale quantum annealers.