Postselection-free learning of measurement-induced quantum dynamics

Understand

We address how one can empirically infer properties of quantum states generated by dynamics involving measurements.

• Our focus is on many-body settings where the number of measurements is extensive, making brute-force approaches based on postselection intractable due to their exponential sample complexity.
• We introduce a general-purpose scheme that can be used to infer any property of the post-measurement ensemble of states (e.g.
• the average entanglement entropy, or frame potential) using a scalable number of experimental repetitions.