Abstract

Linear optical systems acting on photon number states produce many interesting evolutions, but cannot give all the allowed quantum operations on the input state. Using Toponogov’s theorem from differential geometry, we propose an iterative method that, for any arbitrary quantum operator U acting on n photons in m modes, returns an operator widetilde{U} which can be implemented with linear optics. The approximation method is locally optimal and converges. The resulting operator widetilde{U} can be translated into an experimental optical setup using previous results.

Highlights

  • Linear optical devices under quantum light show a rich behaviour and have different applications in experiments on the foundations of quantum optics and quantum infor- 314 Page 2 of 18J

  • While they can be built with relatively simple optical elements like beam splitters and phase shifters [4,5,6,7,8], their behaviour for photon number states cannot be accurately reproduced by any classical system

  • We have previously presented an inverse method which can tell if any desired quantum evolution on n photons can be achieved with a linear optical system or not, giving the corresponding system when it is possible [19]

Read more

Summary

Introduction

There are many results on the synthesis of linear systems from their classical description [4,7,8] and that analyze the evolution of multiple photons in those devices [10,11,12,13,14,15,16,17,18]. We have previously presented an inverse method which can tell if any desired quantum evolution on n photons can be achieved with a linear optical system or not, giving the corresponding system when it is possible [19]. We complete this design method with a procedure that gives the best possible approximation to any quantum unitary that cannot be achieved using only photon preserving linear optical systems.

Mathematical description of linear optics interferometers
The image algebra and its orthogonal complement
Prerequisites and Notation
A bi-invariant Riemannian metric
An application of Toponogov’s comparison theorem
Random unitary matrices and a basis for the image
An iterative process for the approximation
Convergence
Application example
Random initial matrices
Translation to an optical setup

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.