General Lab Information

QIS 301 Self-Study Program

The C2QA Quantum Information Science 301 virtual self-study program is intended to provide advanced undergraduate and graduate students and postdocs with the knowledge needed to understand and characterize noise processes and decoherence in quantum hardware.

Summer 2022 Agenda

About C2QA

The U.S. Department of Energy Office of Science has established five National Quantum Information Science (QIS) Research Centers. These centers will accelerate the transformational advances in basic science and quantum-based technologies needed to assure continued U.S. leadership in QIS, consistent with the National Quantum Initiative Act. Led by Brookhaven National Laboratory, the Co-design Center for Quantum Advantage is building the fundamental tools necessary to create scalable, distributed, and fault-tolerant quantum computer systems.

  • Intro to Density Matrices

    August 8, 2022

    In this lecture, Nathan Wiebe (University of Toronto, and C2QA Software Sub-thrust Leader) introduces students to classical mixtures of quantum states.

  • Density Matrices

    August 9, 2022

    Nathan Wiebe (University of Toronto, and C2QA Software Sub-thrust Leader) presents an interpretation of the eigenvalues of density matrices.

  • Quantum Channels

    August 10, 2022

    Isaac Chuang (MIT) introduces students to the open quantum systems formalism (Kraus operators, super operator formalism).

  • Noise Channels

    August 11, 2022

    Riddhi Gupta (IBM Quantum) presents: canonical noise maps, decoherence, relaxation; Rabi/Ramsey experiments.; Markovian and non-Markovian noise.

  • Quantum State Tomography

    August 12, 2022

    Chris Wood (IBM) introduces the concept of Quantum State Tomography (QST), one experimental procedure that can be used to characterize quantum states.

  • Quantum Process Tomography

    August 15, 2022

    Chris Wood (IBM) shows how channel tomography can be thought of as a special case of Quantum State Tomography.

  • Gate Set Tomography

    August 16, 2022

    In this lecture, Erick Nielsen (Sandia National Lab) introduces gate set tomography (GST), how is relates to other types of tomography, and shows how GST introduces the concept of "gauge degrees of freedom.

  • Randomized Benchmarking - 1

    August 17, 2022

    Dave McKay (IBM) presents unitary designs and provide background into vanilla random benchmarking (RB) and interleaved RB.

  • Randomized Benchmarking - 2

    August 18, 2022

    Tim Proctor (Sandia National Lab) presents: Interleaved RB; What can go wrong; cross-talk benchmarking. Cycle benchmarking; quantum volume (Honeywell paper).

  • Error Mitigation & Proxy App Performance

    August 19, 2022

    Sarah Sheldon (IBM) presents applications for proxy app performance; error mitigation and correction; and discuss: are these benchmarks predictive of proxy app performance?