Quantum + AI
Quantum + AI is an Interest Group supported by the Centre for Machine Intelligence.
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Introduction
The “Quantum + AI interest group” will bring together researchers from diverse fields to explore the rapidly evolving intersection of quantum technologies and artificial intelligence. Quantum computing uses the principles of quantum mechanics to process information in fundamentally new ways, promising breakthroughs in simulation, optimization, and machine learning. As these technologies advance, quantum machine learning is emerging as an exciting and rapidly growing field, with the potential to reshape AI and computational science.
We welcome researchers at all levels interested in these topics and their interdisciplinary connections. The group will serve as an open space for discussions, idea exchange, and knowledge sharing. While we plan occasional focused events with introductory presentations, the primary aim is to foster conversations that drive new insights and collaborations.
Whether you are new to the field or actively working on quantum and AI research, join us to engage with a community at the forefront of this exciting frontier.
Research areas
Quantum technologies, quantum computing, machine learning, generative modelling, physics-informed machine learning, physics-inspired computing.
Aims of the interest group
Our aim is to unite researchers in the broad areas of quantum technologies, artificial intelligence, engineering, and biosciences. We will discuss state-of-the-art in these areas, specifically concentrating on computationally challenging problems and considering the use of quantum computing to speed up their solutions. We will use the interest group as a platform to exchange ideas, brainstorming potentially fruitful directions at the intersection of quantum and AI. This will help participants to stay updated of recent advances, and where possible plan applications for collaborative projects in the future.
Contacts
Lead:
Prof Oleksandr Kyriienko, (o.kyriienko@sheffield.ac.uk)
Co-lead:
Dr Yingkai Ouyang, (y.ouyang@sheffield.ac.uk)
Join this interest group
Sign up to this interest group using our online form.