Bayesian optimal control of GHZ states in Rydberg lattices
This work addresses the challenge of generating non-classical states for quantum sensing, which is incremental as it applies an existing control method to a specific quantum system.
The authors tackled the problem of robustly preparing highly entangled GHZ states for quantum sensors beyond the standard quantum limit, demonstrating that Bayesian optimal control can find control pulses that achieve this with preparation times scaling favorably with system size.
The ability to prepare non-classical states in a robust manner is essential for quantum sensors beyond the standard quantum limit. We demonstrate that Bayesian optimal control is capable of finding control pulses that drive trapped Rydberg atoms into highly entangled GHZ states. The control sequences have a physically intuitive functionality based on the quasi-integrability of the Ising dynamics. They can be constructed in laboratory experiments resulting in preparation times that scale very favourably with the system size.