Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session F71: Hardware and Machine Learning for Fast Control
8:00 AM–11:00 AM,
Tuesday, March 7, 2023
Room: Room 407/408
Sponsoring
Unit:
DQI
Chair: Xueyue (Sherry) Zhang, Caltech
Abstract: F71.00013 : Control of a 2-qubit superconducting quantum processor unit-cell using a cryogenic CMOS integrated circuit
10:48 AM–11:00 AM
Presenter:
Juhwan Yoo
(Google LLC)
Authors:
Juhwan Yoo
(Google LLC)
Zijun Chen
(Google LLC)
Frank C Arute
(Google LLC)
Shirin Montazeri
(Google LLC)
Marco Szalay
(Google LLC)
Catherine M Erickson
(Google LLC)
Evan Jeffrey
(Google LLC)
Reza Fatemi
(Google LLC)
Marissa Giustina
(Google LLC)
Markus Ansmann
(Google LLC)
Erik Lucero
(Google LLC)
Julian Kelly
(Google LLC)
Joseph Bardin
(Google LLC)
Collaboration:
(AI Quantum, Google LLC)
A challenge that must be overcome to enable a large-scale fault-tolerant quantum computer is the realization of the control system required to generate the millions of time-varying flux biases (Z) and microwave pulses (XY) for high-fidelity manipulation of the quantum processor. The control electronics used in O(100) qubit quantum computers are implemented with room-temperature board-level electronics that present obstacles to scaling with respect to their required size, power consumption, refrigerator wiring complexity, and per-qubit wiring transfer function variability. In contrast, the implementation of the control electronics with use of cryogenic electronics holds the promise of significantly ameliorating these obstacles. In this talk, we describe the design and characterization of a low-power prototype cryo-cmos 2-qubit XYZ controller for full-control of a Sycamore quantum processor unit-cell. The talk will describe the controller architecture; detailed measurement results, including benchmarking of single and two-qubit gate performance; and a discussion of the promise and challenges of implementing candidate cryo-electronics control systems.
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