A Dynamic Approach to Complex Vector Reconstruction from Intensity Measurements

TL;DR

This paper introduces a dynamic method for quantum state reconstruction that leverages known system evolution to improve phase retrieval efficiency from intensity measurements.

Contribution

It proposes a novel dynamic approach to complex vector reconstruction in quantum tomography, reducing the number of measurements needed by utilizing system evolution knowledge.

Findings

Dynamic approach improves reconstruction efficiency

Reduces the number of required projectors

Applicable to specific unitary evolution models

Abstract

In this article we propose a dynamic approach to complex vector reconstruction in the context of quantum tomography. There are two underlying assumptions behind our reasoning. The first one claims that the evolution of a d-level pure quantum system is given by the Schr\"odinger equation with a time-independent Hamiltonian and the other states that the knowledge about the quantum state is provided from projective measurements, also called intensity measurements. The problem of quantum state reconstruction is connected with the notion known as phase retrieval -- recovering a complex vector from modulus of inner product with frame vectors. Phase retrieval is widely studied in many areas of science but still there is a number of problems that remain to be answered. We believe that the dynamic approach can significantly improve the effectiveness of the vector reconstruction as it aims to decrease the number of distinct projectors by taking advantage of the knowledge about the evolution. General conditions and observations are applied to a specific unitary evolution model.