Quantum Sensing Leverages ML to Track Three-Level System Phase
Researchers at Università di Catania have reported a machine learning technique to track the phase of a three-level quantum system, as covered by Quantum Zeitgeist. The work targets quantum sensing, where phase estimation is central, and suggests ML can handle the additional complexity of a qutrit compared to a qubit.
OutlookLikely
Adaptive ML phase tracking gets integrated into existing NV-center or superconducting qubit sensor experiments within two years, improving real-time operation.