Bayesian greedy receiver for pulse position modulation without an error floor under thermal noise
Leo Bia1, Christos N Gagatsos2,1,3, Saikat Guha4,1
1Wyant College of Optical Sciences, The University of Arizona, Tucson, AZ, USA.
Abstract:
We study quantum receiver architectures for M-ary pulse-position modulation (PPM) in thermal noise and the photon-starved regime. Building on greedy decision strategies, we examine displacement-squeezing configurations and introduce a Bayesian "slicing" receiver that partitions each slot into slices and performs sequential posterior updates. Simulations for 4-PPM indicate gains over standard greedy and CPN receivers under background noise, with no error floor for the sliced Bayesian scheme, a property we prove as a direct consequence of Bayesian consistency. We discuss computational trade-offs and outline directions for characterizing the sliced Bayesian receivers and their relations to Helstrom performance.
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