Scalable Self-Adaptive Synchronous Triggering System in Superconducting Quantum Computing

TL;DR

This paper presents a scalable self-adaptive synchronous triggering system for superconducting quantum computers, improving synchronization precision and phase noise performance of control signals to enhance qubit operation reliability.

Contribution

A novel scalable self-adaptive triggering system that reduces control signal skew and enhances phase noise performance in superconducting quantum computing.

Findings

Control signal skew less than 25 ps

DAC phase noise increased by 15 dB at 250 MHz

Qubit control signal phase noise improved by 6 dB

Abstract

Superconducting quantum computers (SQC) can solve some specific problems which are deeply believed to be intractable for classical computers. The control and measurement of qubits can't go on without the synchronous operation of digital-to-analog converters (DAC) array and the controlled sampling of analog-to-digital converters (ADC). In this paper, a scalable self-adaptive synchronous triggering system is proposed to ensure the synchronized operation of multiple qubits. The skew of the control signal between different qubits is less than 25 ps. After upgrading the clock design, the 250 MHz single-tone phase noise of DAC has been increased about 15 dB. The phase noise of the 6.25 GHz qubit control signal has an improvement of about 6 dB.