Kavli Affiliate: Irfan Siddiqi
| First 5 Authors: Alexis Morvan, Larry Chen, Jeffrey M. Larson, David I. Santiago, Irfan Siddiqi
| Summary:
Fixed-frequency superconducting quantum processors are one of the most mature
quantum computing architectures with high-coherence qubits and low-complexity
controls. However, high-fidelity multi-qubit gates pose tight requirements on
individual qubit frequencies in these processors and their fabrication suffers
from the large dispersion in the fabrication of Josephson junctions. It is
inefficient to make a large number of processors because degeneracy in
frequencies can degrade the processors’ quality. In this article, we propose an
optimization scheme based on mixed-integer programming to maximize the
fabrication yield of quantum processors. We study traditional qubit and qutrit
(three-level) architectures with cross-resonance interaction processors. We
compare these architectures to a differential AC-Stark shift based on
entanglement gates and show that our approach greatly improves the fabrication
yield and also increases the scalability of these devices. Our approach is
general and can be adapted to problems where one must avoid specific frequency
collisions.
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