Quantum State Characterization Using Measurement Configurations Inspired by Homodyne Detection
Arik Avagyan

TL;DR
This paper explores how different measurement configurations inspired by homodyne detection can be used to characterize unknown quantum optical states, including theoretical analysis and an experimental demonstration involving polarization-dependent beam splitter actions.
Contribution
It introduces a novel measurement scheme for quantum state characterization based on photon counting with configurable local oscillator parameters and different beam splitter actions.
Findings
The measurement configuration allows inference of the unknown state parameters.
Varying LO phase and intensity reduces the number of detectors needed.
Experimental validation demonstrated the theory with polarization-dependent beam splitters.
Abstract
In the standard homodyne configuration, an unknown optical state is combined with a local oscillator (LO) on a beam splitter (BS). Good quadrature measurements require a high-amplitude LO and two high-efficiency photodiodes whose signals are subtracted and normalized. By changing the LO phase, it is then possible to infer the optical state in the mode matching the LO. For quantum information processing, the states of interest are in well-separated modes, corresponding to a pulsed configuration with one relevant LO mode per measurement. We theoretically investigate what can be learned about the unknown optical state by counting photons in one or both outgoing paths after the BS, keeping the LO mode fixed but choosing its phase and magnitude. We consider measurement configurations where the BS acts differently on different sets of matching modes. When the BS acts identically on all…
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.
Taxonomy
TopicsPhotonic and Optical Devices · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
