Gilyén András bemutatja a "Gibbs Samplers" XPRIZE-döntős csapatát a Szilícium-völgyi Q2B25 konferencián

https://www.xprize.org/competitions/qc-apps

Hi, I am András Gilyén, a research fellow at the Alfréd Rényi Institute of Mathematics and the leader of the Gibbs Samplers XPRIZE Team in Budapest, Hungary. My team is excited to work on bringing challenging quantum simulation problems closer to practicality. We do so by combining widely used large-scale randomized computing techniques with nature-inspired quantum algorithms. The randomness in our approach helps effectively navigate towards the quantum states that one wishes to study and understand through quantum simulation. Such simulations are often infeasible classically due to the exponential dimensionality of the corresponding quantum systems. These simulations are invaluable as they can drastically narrow down the search space of potential candidates for new materials, for example, high-temperature superconductors. Our team is highly international, and it includes renowned experts from UC Berkeley, the University of Copenhagen, and the University of Helsinki. Our team members made decisive contributions to the design of such so-called Gibbs Sampling algorithms. Besides simulation, these algorithms are also promising candidates for speeding up certain large optimization problems. Before entering the competition we primarily focused on the theory of these algorithms, but now we embarked on making these readily applicable in practice, so that they may contribute to the first useful applications of upcoming quantum computers.