Survey of NISQ Era Hybrid Quantum-Classical Machine Learning Research
Gennaro De Luca
Abstract
Quantum computing is a rapidly growing field that has received a significant amount of support in the past decade in industry and academia. Several physical quantum computers are now freely available to use through cloud services, with some implementations supporting upwards of hundreds of qubits. These advances mark the beginning of the Noisy Intermediate-Scale Quantum (NISQ) era of quantum computing, paving the way for hybrid quantum-classical systems. This work provides an introductory overview of gate-model quantum computing through the Visual IoT/Robotics Programming Language Environment and a survey of recent applications of NISQ era quantum computers to hybrid quantum-classical machine learning.
Topics & Concepts
Quantum computerComputer scienceQuantum machine learningQubitQuantumQuantum informationField (mathematics)Theoretical computer scienceComputer engineeringComputational scienceArtificial intelligenceMathematicsPhysicsPure mathematicsQuantum mechanicsQuantum Computing Algorithms and ArchitectureCloud Computing and Resource ManagementIoT and Edge/Fog Computing