Warsaw Quantum Computing Group
We invite you to attend (online) Episode L of Warsaw Quantum Computing Group meetups!
"On the use of quantum technologies to discover brain structure and function"
Joan Falco Roget
11.05.2023, 18:00 CEST
Abstract: Recent advancements in network neuroscience are pointing in the direction of considering the brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions. In this context, community detection is a pivotal issue in computational neuroscience. In this paper we explored community detection within brain connectomes using the power of quantum annealers, and in particular the Leap’s Hybrid Solver in D-Wave. By reframing the modularity optimization problem into a Discrete Quadratic Model, we show that quantum annealers achieved higher modularity indices compared to the Louvain Community Detection Algorithm without the need to overcomplicate the mathematical formulation. We also found that the number of communities detected in brain connectomes slightly differed while still being biologically interpretable. These promising preliminary results, together with recent findings, strengthen the claim that quantum optimization methods might be a suitable alternative against classical approaches when dealing with community assignment in networks.
The meeting is organized by the Quantum AI Foundation.
Honorary Partners: ICM, Students’ Association for Computer Science, Machine Learning Society at MIM UW, QPoland, ML in PL Association, OM PTI, WDI, AleQCG, Quantumz.io, Digital Poland Foundation, Digital Festival, Candela, Sano, Qubit - Students' Association at the Wrocław University of Technology, Quantum.Tech, Gitex Global