Work

Modelling non-Markovian noise in driven superconducting qubits

Year: 2023

Type: preprint

Abstract: Dataset containing the experimental results used in the paper "Modelling non-Markovian noise in driven superconducting qubits" available at arXiv:2306.13021.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2306.13021

Authors: Agarwal, Abhishek, Lindoy, Lachlan P., Lall, Deep, Jamet, Francois, Rungger, Ivan

Institution: National Physical Laboratory

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Government of the United Kingdom

OpenAlex ID: W4381797909

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