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09/06/2023
Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory
In this work, a novel data-driven methodology for designing polar codes ...
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05/12/2023
Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes
Recently, the authors showed that Reed-Muller (RM) codes achieve capacit...
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07/11/2022
Belief Propagation with Quantum Messages for Symmetric Classical-Quantum Channels
Belief propagation (BP) is a classical algorithm that approximates the m...
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10/27/2021
Reed-Muller Codes Achieve Capacity on BMS Channels
This paper considers the performance of long Reed-Muller (RM) codes tran...
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07/14/2021
Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage
Sequencing a DNA strand, as part of the read process in DNA storage, pro...
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03/30/2021
An Information-Theoretic Perspective on Successive Cancellation List Decoding and Polar Code Design
This work identifies information-theoretic quantities that are closely r...
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03/16/2021
A Semiclassical Proof of Duality Between the Classical BSC and the Quantum PSC
In 2018, Renes [IEEE Trans. Inf. Theory, vol. 64, no. 1, pp. 577-592 (20...
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02/03/2021
Polar Codes for Channels with Insertions, Deletions, and Substitutions
This paper presents a coding scheme for an insertion deletion substituti...
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11/27/2020
Pruning and Quantizing Neural Belief Propagation Decoders
We consider near maximum-likelihood (ML) decoding of short linear block ...
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11/04/2020
Learned Decimation for Neural Belief Propagation Decoders
We introduce a two-stage decimation process to improve the performance o...
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10/27/2020
Physics-Based Deep Learning for Fiber-Optic Communication Systems
We propose a new machine-learning approach for fiber-optic communication...
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08/16/2020
Successive Cancellation Decoding of Single Parity-Check Product Codes: Analysis and Improved Decoding
A product code with single parity-check component codes can be seen as a...
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04/13/2020
Successive Cancellation Inactivation Decoding for Modified Reed-Muller and eBCH Codes
A successive cancellation (SC) decoder with inactivations is proposed as...
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03/09/2020
Quantum-Message-Passing Receiver for Quantum-Enhanced Classical Communications
For space-based laser communications, when the mean photon number per re...
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01/25/2020
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
We propose a model-based machine-learning approach for polarization-mult...
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01/21/2020
Pruning Neural Belief Propagation Decoders
We consider near maximum-likelihood (ML) decoding of short linear block ...
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01/14/2020
Classical Coding Problem from Transversal T Gates
Universal quantum computation requires the implementation of a logical n...
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10/21/2019
On Optimality of CSS Codes for Transversal T
In order to perform universal fault-tolerant quantum computation, one ne...
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06/30/2019
Logical Clifford Synthesis for Stabilizer Codes
Quantum error-correcting codes are used to protect qubits involved in qu...
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06/11/2019
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding
In this paper, we use reinforcement learning to find effective decoding ...
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04/30/2019
Polar Codes for the Deletion Channel: Weak and Strong Polarization
This paper presents the first proof of polarization for the deletion cha...
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04/22/2019
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
For the efficient compensation of fiber nonlinearity, one of the guiding...
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04/16/2019
Kerdock Codes Determine Unitary 2-Designs
The non-linear binary Kerdock codes are known to be Gray images of certa...
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01/24/2019
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation
We consider the weighted belief-propagation (WBP) decoder recently propo...
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01/22/2019
What Can Machine Learning Teach Us about Communications?
Rapid improvements in machine learning over the past decade are beginnin...
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07/04/2018
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning
We propose a low-complexity sub-banded DSP architecture for digital back...
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06/28/2018
On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems
We study low-complexity iterative decoding algorithms for product codes....
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06/19/2018
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters
We consider time-domain digital backpropagation with chromatic dispersio...
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04/27/2018
Decoding Reed-Muller Codes Using Minimum-Weight Parity Checks
Reed-Muller (RM) codes exhibit good performance under maximum-likelihood...
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04/09/2018
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications
An important problem in fiber-optic communications is to invert the nonl...
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03/19/2018
Synthesis of Logical Clifford Operators via Symplectic Geometry
Quantum error-correcting codes can be used to protect qubits involved in...
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10/17/2017
