Graduate Student Resources

Graduate Degree Programs in Quantum Science and Engineering

The University of Colorado Boulder boasts a wide array of Quantum Science and Technology classes, research opportunities and resources for learning that range from the casually interested member of the public to the advanced graduate student / professional seeking to develop a particular expertise.

Graduate Degree Programs in Quantum Science and Engineering

Graduate Quantum Courses

CU Boulder offers a wide range of quantum-specific graduate level courses either required for physics and engineering degrees or as electives.

ASEN 5251: Molecular Thermodynamics and Kinetics
ASTR 5110: Atomic and Molecular Processes
CHEM 5501: Advanced Topics in Physical Chemistry
CHEM 5531: Statistical Mechanics
CHEM 5581: Introductory Quantum Chemistry
CHEM 5591: Advanced Molecular Spectroscopy
CHEM 6411: Advanced Topics in Physical Chemistry: Communicating Quantum Concepts
CSCI 5244: Quantum Computation and Information
CSCI 7000: Current Topics in Computer Science
ECEN 5005: Special Topics: Optical and Quantum Metrology
ECEN 5345: Introduction to Solid State Physics
ECEN 5915: Foundations of Quantum Engineering
ECEN 5925: Foundations of Quantum Hardware
PHYS 5250: Introduction to Quantum Mechanics 1
PHYS 5260: Introduction to Quantum Mechanics 2
PHYS 5450: History and Philosophy of Physics
PHYS 5730: Particle Physics
PHYS 7230: Statistical Mechanics
PHYS 7240: Advanced Statistical Mechanics
PHYS 7250: Quantum Many Body Theory
PHYS 7270: Introduction to Quantum Mechanics 3
PHYS 7280: Advanced Quantum Theory
PHYS 7450: Theory of Solid State 2
PHYS 7560: Quantum Optics
PHYS 7570: Quantum Information and Computing

View CU Boulder Course Catalog 

Graduate Quantum Courses

Quantum Information Journal Club

Quantum information researchers and students at CU and NIST review and discuss recent publications in quantum information in weekly journal club meetings. Topics include experimental and theoretical quantum information, computation, communication, sensing and foundations. 

Interested in joining us? Contact Scott Glancy at scott.glancy@nist.gov.

Quantum information science illustration with neural networks, machine learning, and big data stream