One of the primary bottlenecks in scaling quantum information networks lies in our current inability to efficiently control qubit interactions with high fidelity.
In scalable systems, interactions between similar qubits (e.g. two trapped ions) must be mediated via a quantum bus (e.g. phonons, photons). Similarly, different types of qubits excel at different tasks (e.g. fast operations vs. long storage times) so there is motivation to efficiently engineer interactions between dissimilar qubits.
The Northwest Quantum Nexus (NQN) is bringing together experts across many qubit platforms to define and seek solutions to the outstanding challenges in qubit transduction for a workshop at the University of Washington on November 14-15.
This 2-day workshop will be organized into focus sessions in which a series of 3-4 short talks will be followed by an open discussion with all workshop participants. Focus session topics will include photon-photon transduction, photon-spin transduction, ion-superconducting qubit transduction, interfacing to topological qubits, and machine learning to facilitate quantum measurement, control, and transduction.
This workshop is supported by NSF under Award 1936932.
Before attending the workshop, please review the workshop Code of Conduct.
November 14 – 15;
Watertown Hotel, near the University of Washington
4242 Roosevelt Way NE, Seattle, WA 98105
The hotel is a 25 minute walk (or short Lyft/Uber) from the UW Light Rail Station which connects directly to the airport.
Due to limited space, this workshop is by invitation only. If you would like to participate in this workshop, please contact firstname.lastname@example.org.
The tentative program can be viewed here.
Benjamín Alemán, University of Oregon
David Allcock, University of Oregon
Paul Barclay, University of Calgary
Edwin Barnes, Virginia Tech
Boris Blinov, University of Washington
Kenneth Brown, Duke University
Cui-Zu Chang, Penn State
Aashish Clerk, University of Chicago
Lukas Chrostowski, UBC
Sophia Economou, Virginia Tech
Steven van Enk, University of Oregon
Kai-Mei Fu, University of Washington
John Gamble, Microsoft
Chris Granade, Microsoft
Subhadeep Gupta, University of Washington
Hartmut Haeffner, UC Berkeley
Mo Li, University of Washington
Pavel Lougovski, Oak Ridge National Laboratory
Arka Majumdar, University of Washington
Nick Mayhall, Virginia Tech
John Orrell, Pacific Northwest National Laboratory
Kyungwha Park, Virginia Tech
Cindy Regal, JILA, University of Colorado Boulder
Alejandro Rodriguez, Princeton University
Joseph Salfi, University of British Columbia
Javad Shabani, New York University
Brian Smith, University of Oregon
Kartik Srinivasan, NIST
Dan Stamper-Kurn, UC Berkeley
Hong Tang, Yale
John Teufel, NIST Boulder
Charles Thiel, Montana State University
Hailin Wang, University of Oregon
Marvin Warner, PNNL
David Wineland, University of Oregon
Xiaodong Xu, University of Washington
Justyna Zwolak, NIST