Author: melnikov

I occasionally publish news and posts

Journal Cover: Machine Learning Transfer Efficiencies for Noisy Quantum Walks

Our paper Machine Learning Transfer Efficiencies for Noisy Quantum Walks is now published in Advanced Quantum Technologies journal and is featured on the journal cover. Quantum walks is a tool for studying various phenomena in quantum systems, including quantum transport in complex networks. In article number 1900115, Alexey A. Melnikov and co‐workers suggest how to improve […]

Read More

Machine Learning Risk Institute Winter School

On 29-31 January 2020, I was lecturing about Reinforcement Learning at the multidisciplinary Machine Learning Winter School, University of Liverpool. There was a very interesting set of lectures on computer vision and important applications in healthcare, surveillance, and autonomous driving.

Read More

Our new NJP publication: neural network separated quantum and classical effects in the space of networks

Predicting quantum advantage by quantum walk with convolutional neural networksAlexey A Melnikov et al 2019 New J. Phys. 21 125002

Read More

2019 Machine Learning for Quantum Technology Workshop

Workshop webiste: Videos of all talks: My contributed talk:

Read More

By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.