Introduction to Quantum Annealing

Abstract

Quantum annealing (QA) is a quantum computational paradigm that represents an alternative approach to the gate model of computation. This talk will introduce basic concepts of quantum annealing --- how it works, what problems it can solve --- and will present a performance overview of current QA manufactured by D- Wave Systems. The performance overview will focus on the recently-launched Advantage quantum processing unit (QPU), which has 5000 qubits, and D-Wave’s Hybrid Solver Service.

Bio:

Catherine McGeoch has been a senior scientist on the benchmarking team at D-Wave Systems for about seven years; before that was on the faculty of Amherst College for about 30 years. Her research interests focus on developing experimental methods for performance analysis of algorithms and heuristics, most recently algorithms in the quantum annealing paradigm. She is past Editor in Chief of ACM’s Journal of Experimental Algorithmics, and was a co-founder of the DIMACS Challenges and of the ALENEX meetings on algorithm engineering and experimentation. She has written two books: A Guide to Experimental Algorithmics, and Adiabatic Quantum Computing and Quantum Annealing: Theory and Practice.

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