https://link.springer.com/book/10.1007/978-3-031-44226-1
Related activities
Category: Teaching
RUSA Lecture – Large-scale photonic computing
Quantum Machine Learning course on Github
Coloquio at the University of Pernambuco on youtube
Ph.D. course Quantum Machine Learning
Duration 20h (3CFU)
Scheduled at February or March 2022
Goals
1) introduction to phase space methods in quantum optics
2) introduction to quantum machine learning
Program
1) Methods in the phase space, characteristic function
2) Gaussian states and their transformations
3) Neural network representation of Gaussian states
4) Training of quantum machine learning models
5) Examples
Entanglement
Gaussian Boson sampling
Neural networks variational ansatz for quantum many-body
Exam (two options)
1) Colloquium on theoretical aspects
2) Coding examples
References
Barnett and Radmore, Methods in Theoretical Quantum Optics
ArXiv:2110.12379
ArXiv:2102.12142