Quantum optimization with a novel Gibbs objective function and ansatz architecture search
Li Li, Minjie Fan, Marc Coram, Patrick Riley, Stefan Leichenauer
Abstract
This work proposes modifications on two key components of the Quantum Approximate Optimization Algorithm (QAOA): a Gibbs objective function and an ansatz architecture search algorithm. The authors explore how these propositions improve upon ordinary QAOA when finding low-energy states by using numerical experiments on grid and complete graph Ising models.
Topics & Concepts
AnsatzQubitQuantum computerIsing modelQuantum algorithmQuantum circuitQuantumComputer scienceMathematicsAlgorithmStatistical physicsTopology (electrical circuits)Quantum error correctionQuantum mechanicsPhysicsCombinatoricsMathematical physicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata