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Superconducting Qubits Quantum Machine Learning

ICARUS-Q: Integrated Control and Readout Unit for Scalable Quantum Processors

arXiv

Authors: Kun Hee Park, Yung Szen Yap, Yuanzheng Paul Tan, Christoph Hufnagel, Long Hoang Nguyen, Karn Hwa Lau, Patrick Bore, Stavros Efthymiou, Stefano Carrazza, Rangga P. Budoyo, Rainer Dumke

Year

2021

Paper ID

40943

Status

Preprint

Abstract Read

~2 min

Abstract Words

110

Citations

N/A

Abstract

We present a control and measurement setup for superconducting qubits based on Xilinx 16-channel radio-frequency system-on-chip (RFSoC) device. The proposed setup consists of four parts: multiple RFSoC boards, a setup to synchronise every digital to analog converter (DAC), and analog to digital converter (ADC) channel across multiple boards, a low-noise direct current (DC) supply for tuning the qubit frequency and cloud access for remotely performing experiments. We also design the setup to be free of physical mixers. The RFSoC boards directly generate microwave pulses using sixteen DAC channels up to the third Nyquist zone which are directly sampled by its eight ADC channels between the fifth and the ninth zones.

Why This Paper Matters

This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2021 reference point for readers tracking recent quantum research.
We present a control and measurement setup for superconducting qubits based on Xilinx 16-channel radio-frequency system-on-chip (RFSoC) device.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2112.02933 [2] arXiv https://arxiv.org/abs/2112.02933 [3] Publisher https://arxiv.org/abs/2112.02933

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