Meticulously designed and taught by dedicated UConn faculty members, each course's content and format ensures that you receive top-notch education from experts in the field. While all of the courses are 100% online, they include a regularly scheduled synchronous online component (meeting), allowing you to engage "real-time" with your instructors and peers. This blend of flexibility and live interaction provides a comprehensive learning experience, making sure you stay connected and supported throughout your educational journey.

Note: Each course builds on the next - courses are taken in sequential order.

Courses

Course 1: Introduction to Quantum Science and Technology

Instructors:

Diego Valente, PhD
Simone Colombo, PhD

The first of the four, this foundational course introduces you to the core principles and experimental evidence that underpins our current understanding of quantum phenomena. Explore the historical development of quantum mechanics and its profound impact on science and technology.

Upon completion of this module, you will be able to:

  • Apply ​foundational concepts of quantum mechanics to different physical systems.​
  • Develop analytical methods for problem-solving  in foundational quantum science.​
  • Articulate in scientifically accurate terms applications of quantum science in technology, engineering, and other fields of knowledge.​
  • Critically analyze sources of information related to quantum science and technology under a scientific lens.​

Course duration: 30 hours throughout 6 weeks of study.

Course Schedule: 1/12/26 - 2/22/26

Course 2: Mathematical Foundations of Quantum Science

Instructor:

Gerald Dunne, PhD

Equip yourself with the essential mathematical tools to predict and analyze quantum experiments. This course reviews the basics of complex numbers, Fourier analysis, linear algebra, and probability, culminating in a Hamiltonian formulation of spin, uncertainty, unitary transformations, and measurement.

Upon completion of this course, you will be able to:

  • Apply probabilistic methods to quantum physics.
  • Describe quantum concepts using complex numbers.
  • Compute and interpret linear algebra concepts in quantum contexts.
  • Manipulate Fourier transforms, analyze quantum circuits, and utilize Mathematica for quantum system analysis.

Course duration: 30 hours throughout 6 weeks of study.

Course Schedule: 3/2/26 - 4/12/26

Course 3: Quantum Materials and Sensing

Instructor:

Jason Hancock, PhD
Pavel Volkov, PhD

Delve into the physical principles of materials relevant to quantum sensors and technologies. This course covers superconductivity, modern devices, atomic sensing, and the application of quantum advantage for magnetic measurements.

Upon completion of this course, you will:

  • Understand foundational concepts in quantum matter.
  • Explain challenges of classical sensing.
  • Describe quantum device functionality (Josephson junctions, SQUIDs, OPMs, transmon qubit)
  • Gain exposure to quantum materials like 2D crystals and twisted bilayers.

Course duration: 30 hours throughout 6 weeks of study.

Course Schedule: 4/20/26 - 5/31/26

Course 4: Quantum Computing

Instructor:

Daniel McCarron, PhD

Explore the theory and practice of quantum information science, a paradigm shift in information processing. This course covers the physics of information processing, quantum circuits, example quantum algorithms, and quantum error correction.

Upon completion of this course, you will understand how quantum phenomena are applied to information storage, communication, and processing, both theoretically and practically, including current limitations.

Course duration: 30 hours throughout 6 weeks of study.

Course Schedule: 6/8/26 - 7/19/26

Cost: $2000 for all 4 courses.
Start Date: January 12, 2026

Ask the Instructor

The following live information sessions are scheduled with Chris Laughton to answer any questions you may have.

Chris Laughton:
Tuesday, 3/18, 10-11 am
Wednesday, 3/19, 5-6 pm