15633

Quantum Computing With Stabilized Cat Qubits

APA

(2020). Quantum Computing With Stabilized Cat Qubits. The Simons Institute for the Theory of Computing. https://simons.berkeley.edu/talks/quantum-computing-stabilized-cat-qubits

MLA

Quantum Computing With Stabilized Cat Qubits. The Simons Institute for the Theory of Computing, May. 08, 2020, https://simons.berkeley.edu/talks/quantum-computing-stabilized-cat-qubits

BibTex

          @misc{ scivideos_15633,
            doi = {},
            url = {https://simons.berkeley.edu/talks/quantum-computing-stabilized-cat-qubits},
            author = {},
            keywords = {},
            language = {en},
            title = {Quantum Computing With Stabilized Cat Qubits},
            publisher = {The Simons Institute for the Theory of Computing},
            year = {2020},
            month = {may},
            note = {15633 see, \url{https://scivideos.org/index.php/Simons-Institute/15633}}
          }
          
Alexandre Blais (Universite de Sherbrooke)
Talk number15633
Source RepositorySimons Institute

Abstract

Since the first observation 20 years ago of first coherent quantum behaviour in a superconducting qubit there have been significant developments in the field of superconducting quantum circuits. With improvements of coherence times by over 5 orders of magnitude, it is now possible to execute increasingly complex quantum algorithms with these circuits. Despite these successes, the coherence time of superconducting devices must still be increased for quantum computation to become a reality. One approach is to improve existing devices. Another approach is to design new superconducting qubits with intrinsic protection against certain types of errors. In this talk, I will discuss how quantum information can be robustly encoded in cat states of the electromagnetic field stored in superconducting quantum devices. A feature of this encoding is that it exhibits biased noise. I will present how to realize bias-preserving gates on this qubit, and how these ideas can be further improved with quantum error correction.