# Parameter Estimation for Quantum Trajectories: Convergence Result

arXiv: https://arxiv.org/abs/2204.00343 · HTML: https://mlsanity.com/paper/2204.00343/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Apr 2022.

## Built on by (most cited first, 1 of 1)

- [Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization](https://mlsanity.com/paper/2610.18495/) (2026)

## Abstract (arXiv)

A quantum trajectory describes the evolution of a quantum system undergoing indirect measurement. In the discrete-time setting, the state of the system is updated by applying Kraus operators according to the measurement results. From an experimental perspective, these Kraus operators can depend on unknown physical parameters p. An interesting and powerful method has been proposed in [1] to estimate a parameter in a finite set; however, complete results of convergence were lacking. This article fills this gap by rigorously showing the consistency of the method, whereas there was only numerical evidence so far. When the parameter belongs to a continuous set, we propose an algorithm to approach its value and show simulation results.