Continuous Variable Quantum Computing: Quantum Machine Learning

Abstract

Quantum Machine Learning is the synergy between quantum computing devices and Machine/Deep Learning techniques. It refers to a field of study for analysing data and for optimization problems. There exists distinct quantum computing devices such as superconducting, quantum annealer, or photonics quantum computing. Here we use a photonic-based quantum computing device so-called Continuous Variable Quantum Computing (CV-QC) for a regression task and analyse its use for practical problems (Remote Sensing and earth observation image classification, optimization problems, or satellite-based quantum radar).