Soft-Decision Multi-Stage Decoding Component codes are decoded with soft-decision maximum likelihood decoding, one at a time stage-by-stage. The de-coder information at each stage is passed to the next stage. The decoding process begins with the first-level component code and ends at the last-level component code.

In this paper, we combine multi-level coding to the hexagonal modulation to provide a system which is capacity-approaching. This concept may be use the ternary convolutional encoder introduced previously related to the constellation used.

Abstract— This paper deals with -ary transmission using multilevel coding (MLC) and multistage decoding (MSD). The known result that MLC and MSD suffice to approach capacity if the rates at each level are appropriately chosen is reviewed.

Abstract—Photonic processors have enabled applications in machine learning and neuromorphic computing. An information encoding/decoding scheme will be critical for scalable photonic computing. We experimentally demonstrate a “multi-level” en-coding/decoding scheme and operation procedures.

Apr 12, 2023 · In this work, we present the first implementation of a multi-output quantum pulse gate, a newly developed integrated device that enables high-dimensional decoding of TMs of single photons, thereby unlocking the benefits of high-dimensional TM encoding.

These codes provide a flexible trade-off between coding gain, decoding complexity, and decoding delay. New multi-level trellis coded modulation schemes using generalized set partitioning methods are developed for Quadrature Amplitude Modulation (QAM) and Phase Shift Keying (PSK) signal sets.

The proposed multi-level encoding scheme implements a direct value mapping to translate an n -bit digital number to an analog value, and requires calibration and validation stages

Nov 14, 2022 · We present a framework of a multimode dense coding network with multiple senders and a single receiver using continuous variable systems.

In this work, we present new schemes that can ef-ficiently code and decode quantum information, when applied in molecular systems. They are based on robust two-photon adiabatic passage techniques [10–12], which are generalized to include many initial, intermediate and final states.

In this paper, we propose time-efficient methods for C2Q data encoding and Q2C data decoding for quantum algorithms. Decoherence optimized circuits for C2Q data encoding are presented along with analysis of their circuit depths.