Learning Spatiotemporally Correlated Noise in Multi-Qubit Systems with Neural Networks

• Published in: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) Vol. 2; pp. 480 - 481
• Main Authors: Nallamalli, Abhiram, Misra, Shantanu, Quiroz, Gregory
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.09.2024
• Subjects: Computational modeling; Data models; Machine learning; Neural networks; Noise; Predictive models; Protocols; quantum device modeling; Quantum noise characterization; Qubit; Spatiotemporal phenomena; Training

Noisy quantum processors require precise and coherent quantum control to effectively execute quantum algorithms. Key to achieving precise control is the characterization of a quantum device to elucidate important details of environmentally-induced and systematic error sources. Quantum noise spectros...