Computer Sciences Dept.

CS 880 - Quantum Algorithms

Spring 2023

Course Description

Remarkable results from the last three decades have given evidence that computers based on quantum mechanical principles could profoundly alter the nature of information processing. Efficient algorithms for breaking widely used cryptographic systems, query efficient strategies for database searches, techniques like teleportation and superdense coding, and provably secure schemes for cryptographic key distribution have demonstrated how differently quantum information behaves, and how these properties can be exploited to solve certain computational tasks better than known classically.

This course focuses on the algorithmic aspects of quantum computing. We develop a quantum model of computation, and discuss known paradigms of efficient quantum computation, including amplitude amplification, phase estimation, quantum walks, and quantum signal processing. We apply them to computational problems such as satisfiability, the hidden subgroup problem (including integer factoring and discrete log), simulation, and solving systems of linear equations.


Knowledge of linear algebra at the level of Math 340, and familiarity with probability and algorithms is assumed. No specific knowledge of theoretical computer science is required; the necessary background will be provided. No knowledge of quantum physics will be assumed either.


The course counts towards core credit for an MS in CS.


TR 1:00-2:15pm in 1313 Sterling Hall


Dieter van Melkebeek

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