Quantum Machine Learning: Recent Advances and Outlook
Wesley O'Quinn, Shiwen Mao
Abstract
Quantum computing is currently at the nexus of physics and engineering. Although current generation quantum processors are small and noisy, advancements are happening at an astounding rate. In addition, machine learning has played a crucial role in many recent advances. The combination of these two fields, Quantum Machine Learning, is a small but extremely promising new field with the possibility of unlimited abilities. This work seeks to provide an introduction to this emerging field, along with a discussion of recent advances as well as problems that are yet to be solved.
Topics & Concepts
Computer scienceNexus (standard)Quantum machine learningQuantum computerField (mathematics)QuantumData scienceArtificial intelligenceRisk analysis (engineering)PhysicsEmbedded systemQuantum mechanicsMedicineMathematicsPure mathematicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata