📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

All rf-based tuning algorithm for quantum devices using machine learning (2022)

First Author: Van Straaten B

Attributed to: Quantum Technology Capital: An extensible simulation and test platform for quantum and quantum enabled technologies funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2211.04504

Publication URI: https://arxiv.org/abs/2211.04504

Type: Preprint