FDD3365 Quantum Software 7.5 credits

This is a course on the software stack of quantum computing, from gate-level programs to realistic hardware and distributed quantum networks. The course focuses on understanding, analyzing, and extending current approaches to:

• Quantum programming and intermediate representations
• Compilation and hardware-aware optimization
• Noise modeling, calibration, error correction, and error mitigation
• Distributed quantum protocols and network simulation

• Analyze the quantum software stack at a systems level
• Use and inspect quantum programming toolchains
• Design and evaluate compilation strategies
• Model noise and evaluate error correction/mitigation trade-offs
• Reason about and simulate distributed quantum protocols
• Critically read and discuss research literature in quantum software

Demonstrated knowledge of quantum computing basics and quantum algorithms via courses taken at the second level or third level.

• EXA1 - Examination, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students. If the course is discontinued, students may request to be examined during the following two academic years.

Final project course

None

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.