ACO Student Seminar
ACO Student Seminar
The Georgia Tech ACO Student Seminar is run by students in the Algorithms, Combinatorics, & Optimization program at Georgia Tech.
The purpose of this seminar is to keep students updated with current research, and to give students a venue to present their work. Any topic related (but not restricted) to algorithms, combinatorics, and optimization is very welcome. You can present research results, demo a work in progress, or just share something of general interest. There will also be occasional talks by ACO faculty and visitors. (Post-docs are welcome too!)
In Fall 2026, the seminar will meet on Fridays in Skiles 006 from 1-2pm. For more information please refer to the announcement sent by the organizers (or contact them directly). Subscribe to the mailing list aco-announce via this link https://new.lists.gatech.edu/sympa/info/aco-announce to receive the announcements regularly.
If you are interested in giving a talk, you can contact any of the organizers: Aiya Kuchukova, Albert Weng, Jade Lintott, Yuexing (April) Niu.Â
September 4: Yash Rastogi (Georgia Tech)
Quantum Computation for Bayesian Posterior Sampling
Abstract: This talk presents a quantum algorithm for Bayesian posterior sampling, developed in collaboration with researchers at the Bank for International Settlements, the Central Bank of Chile, and the University of Chicago. The approach encodes discretized posterior distributions into quantum states, with measurement producing samples for Monte Carlo estimation. While the method does not currently yield a computational advantage over classical approaches like Markov Chain Monte Carlo, it provides a simulation-based implementation of Bayesian inference in Qiskit and highlights key bottlenecks, particularly in state preparation. The talk concludes by discussing challenges in high-dimensional uncertainty quantification relevant to financial risk measurement. Joint work with Jon Frost, Carlos Madeira, and Harald Uhlig.