CMSC657

Introduction to Quantum Information Processing

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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.

Fall 2025

Andrew Childs

1 review
Average rating: 5.00

Past Semesters

Daniel Gottesman

1 review
Average rating: 3.00

Andrew Childs

1 review
Average rating: 5.00

Andrew Childs

1 review
Average rating: 5.00

Daniel Gottesman

1 review
Average rating: 3.00

Gorjan Alagic

0 reviews
Average rating: N/A

Xiaodi Wu

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.33 between 290 students*

CMSC657 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 13.1%
A: 31.38%
A+: 13.1%
B-: 5.86%
B: 11.72%
B+: 12.07%
C-: 0.34%
C: 1.03%
C+: 1.38%
F: 1.38%
W: 5.52%
other: 3.1%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.