Quantum Approximate Optimization Algorithm Pseudo-Boltzmann States
Pablo Díez-Valle, Diego Porras, Juan José García‐Ripoll
Abstract
In this Letter, we provide analytical and numerical evidence that the single-layer quantum approximate optimization algorithm on universal Ising spin models produces thermal-like states. We find that these pseudo-Boltzmann states can not be efficiently simulated on classical computers according to the general state-of-the-art condition that ensures rapid mixing for Ising models. Moreover, we observe that the temperature depends on a hidden universal correlation between the energy of a state and the covariance of other energy levels and the Hamming distances of the state to those energies.
Topics & Concepts
Ising modelMixing (physics)Statistical physicsPhysicsBoltzmann constantSpin (aerodynamics)QuantumState (computer science)Boltzmann machineCovarianceHamming distanceQuantum computerQuantum mechanicsAlgorithmComputer scienceMathematicsThermodynamicsMachine learningStatisticsArtificial neural networkQuantum Computing Algorithms and ArchitectureQuantum many-body systemsQuantum Information and Cryptography