POVM generated quantum trajectories without stochastic differential equations
Rutvij Bhavsar (King's College London), N.D. Hari Dass (Read., IMSc, Chennai)

TL;DR
This paper analyzes quantum trajectories generated by QND-POVMs on single unknown quantum states, demonstrating convergence to eigenstates without stochastic differential equations, and providing a unified, transparent proof based on martingale properties.
Contribution
It introduces a novel approach using martingale properties to analyze quantum trajectories, avoiding stochastic differential equations, and unifies degenerate and non-degenerate cases with transparent proofs.
Findings
Trajectories asymptotically approach eigenstates or their density matrices.
Distribution of trajectories follows the Born rule exactly.
Results are robust against free evolutions and exhibit anti-Zeno effects.
Abstract
In this paper we examine the issue of quantum trajectories generated by QND-POVM's on {\it single} copies of unknown states. After an introduction to various aspects of quantum measurements, we discuss an earlier approach by one of us(NDH) based on Gaussian QND measurement operators that addressed the asymptotic behaviour of such trajectories showing the impossibility of determining the unknown state of a single copy from the statistics of such repeated measurements.The essence of our present work is the so called martingale and super-martingale properties of certain observables, and the consequent martingale convergence theorem. The main result is that asymptotically all trajectories approach either the non-degenerate eigenstates of the system observable, or,density matrices spanned by the degenerate eigenstates of the observable. The proofs given by us are very transparent..A unified…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
