aiqbench analysis
This research details the characterization of a photon-number-resolving detection chain using Silicon photomultipliers and FPGA-based signal processing to handle mesoscopic quantum states. By systematically evaluating detector performance under classical and twin-beam conditions, the study addresses critical hardware limitations like pixel pile-up and detection efficiency that impact practical quantum communication protocols.
Developing a photon-number-resolving detection chain for quantum communication protocols involving mesoscopic states of light
arXiv:2605.19980v2 Announce Type: replace Abstract: We present the characterization of a photon-number-resolving detection chain based on Silicon photomultipliers (SiPM) coupled to a 14 bit, 1 Gs\s digital acquisition system embedding an FPGA-based signal processing pipeline that performs real-time baseline subtraction, digital deconvolution, and charge integration. Three SiPM models manufactured by Hamamatsu are tested and compared in the mesoscopic intensity regime using both classical coherent states and quantum twin-beam states, enabling a systematic investigation of the effects of pixel pitch, pile-up, and photon detection efficiency on the detector performance.
Abstract:We present the characterization of a photon-number-resolving detection chain based on Silicon photomultipliers (SiPM) coupled to a 14 bit, 1 Gs\s digital acquisition system embedding an FPGA-based signal processing pipeline that performs real-time baseline subtraction, digital deconvolution, and charge integration. Three SiPM models manufactured by Hamamatsu are tested and compared in the mesoscopic intensity regime using both classical coherent states and quantum twin-beam states, enabling a systematic investigation of the effects of pixel pitch, pile-up, and photon detection efficiency on the detector performance.
arXiv:2605.19980 [quant-ph]
(or arXiv:2605.19980v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2605.19980 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 172 words

