BEGIN:VCALENDAR VERSION:2.0 PRODID:Icfo X-PUBLISHED-TTL:P1W BEGIN:VEVENT UID:69d4b46a38357 DTSTART:20240927T083000Z SEQUENCE:0 TRANSP:OPAQUE LOCATION:Auditorium SUMMARY:ICFO | DAVID CIRAUQUI GARCIA CLASS:PUBLIC DESCRIPTION:With applicability on almost every aspect of our lives\, optimi zation problems are ubiquitous to a broad range of fields within both scie ntific research and industrial environments. As such\, these are growing i n size and complexity at a fast pace\, and are only expected to continue t o do so. Accordingly\, the urgency for better methods that can yield more optimal solutions in shorter times is increasing and\, while the developme nt of quantum computing technologies that are capable of tackling these pr oblems evolves steadily\, it does so too slowly for the challenges that no wadays society's demands represent. Consequently\, a lot of effort is bein g invested to further develop classical methods and machines that are spec ially designed to solve optimization problems of relevant enough sizes. Th e present thesis is framed within this paradigm: classical optimization te chniques are studied from various different perspectives\, with the goal o f improving their efficiency.\nTo this end\, we first dive into basic conc erns related to the physical properties of the systems that allow for the convenient formulation of industrially-relevant optimization problems\, na mely spin glasses with quenched disorders. The understanding of such prope rties is of utmost importance for the correct designing of the annealing s chedules used by thermally-based optimization methods. We then study the i mpact that the hidden correlations of the pseudo random number streams use d in their simulations have in the results by comparing simulations using PRNGs of various qualities and perfectly random QRNGs. To conclude\, we in vestigate novel ways\, inspired by quantum-mechanical systems\, to efficie ntly navigate the energy landscapes of spin glasses in classical algorithm s\, which has the potential of preventing the simulations getting stuck in to local energy minima and thus reaching more optimal solutions.\n \;\ nFriday September 27\, 10:30 h. ICFO Auditorium \nThesis Director: Prof. D r. Maciej Lewenstein\,  \;Dr. José\; Ramó\;n Martí\; nez and Dr. Przemyslaw Ryszard Grzybowsi DTSTAMP:20260407T073818Z END:VEVENT END:VCALENDAR