Machine Learning for Quantum 2021
The last few years have seen a fast increase in the complexity of quantum technologies. In this context, recent groundbreaking experimental work has started to highlight the potential of advanced signal processing, such as machine learning and real-time adaptive techniques to speeding up, scaling up, and opening up new quantum technologies.
The goal of this online conference it to bring together quantum physicists with experts in computer science and machine learning, to tackle these challenges together.
This online conference is centered around three questions, which we will address over five days of tutorials, talks and discussions:
Q1 – how can a quantum sensor optimally extract information about its environment?
Q2 – how can we achieve fully automatic calibration and operation of multi-qubit circuits?
Q3– how can machine learning improve the performance of quantum algorithms for quantum chemistry?
This event is organised as a satellite Photonics Online Meetup (POM). Our approach is, however, platform-agnostic, and we target all quantum technology implementations.