Information extraction in photon-counting experiments
Timon Schapeler, Tim J. Bartley
TL;DR
This paper compares multiplexing architectures in photon-counting experiments using quantum detector tomography, revealing how outcome purity and optimization influence photon-number resolving power and information extraction.
Contribution
It introduces a method to evaluate and optimize multiplexing architectures based on measurement outcome purity and information capacity in photon-counting devices.
Findings
More multiplexing outcomes improve photon-number resolving power
Optimizing outcome splitting enhances measurement performance
Measurement outcome purity correlates with resolving capability
Abstract
We demonstrate a comparison of different multiplexing architectures based on quantum detector tomography. Using the purity of their measurement outcomes, we gain insight about the photon-number resolving power of the devices. Further, we calculate the information each measurement outcome can extract out of a Hilbert space with given dimension. Our work confirms that more multiplexing outcomes enable higher photon-number resolving power; however, the splitting between those outcomes must be optimized as well.
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