Engineering and Technology

Overcoming the coherence time barrier in quantum machine learning on temporal data

F. Hu, S. A. Khan, et al.

Discover how NISQRC, a groundbreaking machine learning algorithm developed by Fangjun Hu, Saeed A. Khan, Nicholas T. Bronn, Gerasimos Angelatos, Graham E. Rowlands, Guilhem J. Ribeill, and Hakan E. Türeci, allows qubit-based quantum systems to perform inference on temporal data without being hindered by coherence time. This innovative approach leverages mid-circuit measurements to maintain persistent temporal memory, showcasing its prowess through successful experiments on a 7-qubit quantum processor.