Scheduled for Friday, October 9, 2026 · 3-5pm · CDS 701
Harnessing Randomness on a Quantum Computer
Presenter: Maximus MorrisMaximus Morris is a graduate student studying computer science (data-centric computing) with a bachelors in Mathematics and Computer Science. (Boston University)
The goal of this presentation is to delve into the differences between quantum probability, and classical probability. The focus of this presentation will be on how to represent stateless memory such as Markov chains within quantum computing emulations. Start with an introduction of concepts that will be important such as Markov chains, and density matrices, describe similarities and differences. Delve into important quantum findings such as Bells inequality, and detailing how classical results cannot constrain quantum results. Density matrices, and how despite the trace being able to be mapped to probabilities what the difference behind this is versus say a Markov chain matrix. How randomness of classical bits helps play a role in finding faster solutions, and how quantum advantage can utilize randomness, but also much more to get stronger results.