Polyadic Quantum Machine Learning: A Fireside Chat with Joaquín Keller
Open source quantum software.
Dear friends,
Happy new year, it’s been a while since our last newsletter! We're currently trying to figure out a new direction for Nanosai as a project. Does distributed quantum computation seem a natural fit/evolution from where the Nanosai.com vision started? Well, these are things that we'll be exploring over the comings months! Hopefully, the exploration will result in an open-source project that you all can help shape.
Quantum Software Fireside Chat
Zaiku Group recently started running regular fireside chats for the first cohort of the quantum formalism course - recorded playlist can be found here.
The next fireside chat will be held this coming Friday, February 12 at 5 pm UK time. If you would like to attend, please feel free to register via https://www.crowdcast.io/e/polyadic-qml--a-fireside.
Abstract: Joaquín is the designer of polyadic QML (arXiv:2007.14044), a quantum machine learning algorithm able to run on NISQ devices. During the fireside chat he will discuss how to train a quantum model for the well known Iris flower dataset. The experiments on IBM Q hardware show accuracy levels of classical ML (see https://dev.exaq.ai/).
Guest Bio: Joaquín Keller, recently launched exaQ.ai, a startup focused on quantum machine learning. He previously co-founded Entropica Labs, a company developing quantum software in Singapore. With a MSc in theoretical computer science and a PhD in distributed algorithms, Joaquín is a mathematician by training and more of a newcomer in quantum computing. In a previous life he taught at Paris based universities and led research teams at the R&D division of Orange, the french global telecommunication company.
Call for Projects: Have you started any open-source quantum software that needs contribution from mathematically trained developers? If yes, please fill out this form: https://forms.gle/oWe9pfek5zPZd9Sv5.
One of the options for the quantum formalism cohort to get certification is to contribute to an open-source project.
Many Thanks,
Zaiku Group team