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Introduction to Quantum Information Processing (CMSC657, Fall 2025)

Course Description

Prerequisite: Familiarity with complex numbers and basic concepts in linear algebra (e.g., eigenvalues, eigenvectors, Hermitian and unitary matrices) is required.
Credit only granted for: CMSC657 or CMSC858K.
Formerly: CMSC858K.

Additional information: Previous background in quantum mechanics or theory of computation is not required.
An introduction to the field of quantum information processing. Students will be prepared to pursue further study in quantum computing, quantum information theory, and related areas.
Must be in the Graduate Program in Computer Science. All other graduate students must request permission.

Semester

Fall 2025

Instructors

  • Andrew Childs

    Professor