QUANTUM COMPUTING LABORATORY

Prerequisites & course information

Requisites: PHYSICS 709 and ( PHYSICS 531 or 731 ) Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Master fundamental techniques in experimental physics of quantum computing. This includes, but is not limited to: calibration and operation of devices to measure electromagnetic signals, particle detection, lasers and other optical equipment. Audience: Graduate 2. Be able to analyze experimental data. This involves physical interpretation and judgment of data quality. Understand error analysis and how to extract signals from noisy data. Audience: Graduate 3. Become familiar with all the requirements involved in the presentation of scientific data at an international level. Be able to achieve logical structure, clarity of expression and convincing narrative from introduction to conclusion. Audience: Graduate 4. Acquire the skill of keeping a good lab notebook. This will include concision and accuracy of description and clear writing, particularly for mathematical arguments. Audience: Graduate Learning Outcomes: 1. Master fundamental techniques in experimental physics of quantum computing. This includes, but is not limited to: calibration and operation of devices to measure electromagnetic signals, particle detection, lasers and other optical equipment. Audience: Graduate 2. Be able to analyze experimental data. This involves physical interpretation and judgment of data quality. Understand error analysis and how to extract signals from noisy data. Audience: Graduate 3. Become familiar with all the requirements involved in the presentation of scientific data at an international level. Be able to achieve logical structure, clarity of expression and convincing narrative from introduction to conclusion. Audience: Graduate 4. Acquire the skill of keeping a good lab notebook. This will include concision and accuracy of description and clear writing, particularly for mathematical arguments. Audience: Graduate