Adaptive Circuit Learning for Quantum Metrology

Understand

Quantum sensing is an important application of emerging quantum technologies.

• We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical limit of sensing.
• In particular, we use optimization techniques to search for encoder and decoder circuits that scalably improve sensitivity under given application and noise characteristics.
• Our approach uses a variational algorithm that can learn a quantum sensing circuit based on platform-specific control capacity, noise, and signal distribution.