Circuit-centric quantum classifiers
Maria Schuld, Alex Bocharov, Krysta M. Svore, Nathan Wiebe
Abstract
A machine learning design is developed to train a quantum circuit specialized in solving a classification problem. In addition to discussing the training method and effect of noise, it is shown that the circuits perform reasonably well on classical benchmarks.
Topics & Concepts
Electronic circuitComputer scienceQuantum circuitQuantumNoise (video)Artificial intelligenceComputer engineeringMachine learningElectronic engineeringQuantum computerElectrical engineeringEngineeringPhysicsQuantum networkQuantum mechanicsImage (mathematics)Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata