Resources
Resources for Stanford
Programs, labs, and courses across campus working on quantum computing.
Related Organizations
Other groups at Stanford
SystemX Alliance
Industry Collaboration
A collaboration between Stanford and industrial firms working on quantum computing, with seminars open to members via their mailing list.
Ginzton Lab
Research Lab
An interdisciplinary research lab exploring quantum science and engineering, photonic science and engineering, and nanoscience and engineering.
Q-Farm
University Initiative
The Quantum Fundamentals, ARchitecture and Machines initiative, run jointly by Stanford and SLAC.
Educational Resources
Beyond the classroom
- A hands-on Qiskit workshop on quantum computing, run by the SystemX Alliance.
- Brilliant.org's interactive quantum computing course, created with Microsoft and X (formerly Google X).
- MIT's three-course quantum information science series on edX.
Stanford Course Offerings
30+ courses, across nine departments
Applied Physics, Chemistry, Computer Science, Electrical Engineering, Mathematics, Materials Science, Music, Physics, and Statistics all offer courses that touch quantum computing.
For the fuller picture — prerequisites, sequencing, and a department-by-department listing — see our Course Pathways page.
| Course Number | Course Name | Faculty Contact |
|---|---|---|
| APPPHYS 203 | Atoms, Fields, and Photons | Simon, Safavi-Naeini |
| APPPHYS 204 | Quantum Materials | Fisher, Suzuki |
| APPPHYS 228 | Quantum Hardware | Safavi-Naeini, Schuster |
| APPPHYS 282 | Ultracold Quantum Physics | Ben Lev |
| APPPHYS 283 | Ultrafast Quantum Physics | Philip Bucksbaum |
| APPPHYS 280 | Phenomenology of Superconductors | Charlotte Bøttcher |
| APPPHYS 284 | Introduction to Superconducting Circuits | David Schuster |
| APPPHYS 483 | Optics and Electronics Seminar | Martin Fejer |
| CHEM 261 | Computational Chemistry | Markland |
| CS 254/254B | Computational Complexity I, II | Tan |
| CS 259Q | Quantum Computing | Adam Bouland |
| CS 359D | Quantum Complexity Theory | Bouland |
| EE 222/223 | Applied Quantum Mechanics I, II | Miller |
| EE 224 | Quantum Control and Engineering | Joonhee Choi |
| EE 276 | Information Theory | Weissman |
| EE 336 | Nanophotonics | Brongersma |
| EE 340 | Quantum Photonics | Jelena Vuckovic |
| MATH 275A | Quantum Algorithms for Scientific Computation | Lexing Ying |
| MATSCI 331 | Atom-Scale Computational MatSci | Austin Sendek |
| MUSIC 222A | Quantum Computer Music | Scott Oshiro |
| PHYSICS 14N | Quantum Information (Introsem) | Hari Manoharan |
| PHYSICS 134, 234 | Advanced Topics in Quantum Mechanics I, II | Hayden |
| PHYSICS 230/231 | Graduate Quantum Mechanics I, II | Hayden |
| PHYSICS 330/331/332 | Quantum Field Theory I, II, III | Peskin, Stanford, Silverstein |
| PHYSICS 430 | Quantum Error Correction | Jeongwan Haah |
| PHYSICS 470 | Topics in Modern Condensed Matter Theory I: Many Body Quantum Dynamics | Khemani |
| PHYSICS 472 | Quantum Information Theory and Many-Body Physics | Xiaoliang Qi |
| STATS 311 | Information Theory and Statistics | Duchi |