This invite-only workshop provides a collaborative scientific forum to investigate the intersection of artificial intelligence (AI) and quantum computing control. It focuses on data-driven methodologies to overcome bottlenecks in operating a quantum processor. The workshop will review the state-of-the-art application of AI technologies across physical, architectural, and quantum circuit levels. The workshop also explores how AI reshapes the development and operational workflows of quantum control systems. 

Intended topics in this workshop include AI technologies for control and measurement in different physical qubit modalities; AI for quantum error correction and logical circuit compilation, from system architecture to decoder implementation; and infrastructure and machine learning techniques of interest. 

The objective of this workshop is to foster cross-disciplinary collaborations. We aim to exchange and assess methodologies and encourage the AI community to contribute to quantum computing. 

The scientific committee will synthesise the discussions from this workshop into a comprehensive, purely scientific white paper. All invited participants are encouraged to contribute to the white paper. This white paper will serve as a technical blueprint to guide future research and development at the interface of AI and quantum engineering. 

October 8th programing is scheduled from 9 a.m. -   5 p.m. PDT 

October 9th programing is scheduled from 9 a.m. - 12 p.m. PDT

The meeting will be held at the Berkeley Quantum Nexus Space located at 2105 Bancroft, Berkeley, CA 94704.

Hotel Shattuck Plaza Berkeley

Residence Inn by Marriott Berkeley

Berkeley Lab Guest House

Wei Dai (Quantum Machines)

Gang Huang (LBNL)

Hsin-Yuan Huang (Oratomic & Caltech)

Jack Lange (Oak Ridge National Lab)

Andrew Mounce (Sandia National Lab)

David van Zanten (Fermilab)