Robert Calderbank

research

∙ 04/29/2023

Quantum Spatially-Coupled Codes

Spatially-coupled (SC) codes is a class of convolutional LDPC codes that...

0 Siyi Yang, et al. ∙

research

∙ 04/27/2023

LDPC Decoders Prefer More Reliable Parity Bits: Unequal Data Protection Over BSC

Low-density parity-check (LDPC) codes are specified by graphs, and are t...

0 Beyza Dabak, et al. ∙

research

∙ 02/17/2023

OTFS – Predictability in the Delay-Doppler Domain and its Value to Communication and Radar Sensing

In our first paper [2] we explained why the Zak-OTFS input-output (I/O) ...

0 Saif Khan Mohammed, et al. ∙

research

∙ 02/17/2023

OTFS – A Mathematical Foundation for Communication and Radar Sensing in the Delay-Doppler Domain

Orthogonal time frequency space (OTFS) is a framework for communication ...

0 Saif Khan Mohammed, et al. ∙

research

∙ 02/03/2023

Efficient Constrained Codes That Enable Page Separation in Modern Flash Memories

The pivotal storage density win achieved by solid-state devices over mag...

0 Ahmed Hareedy, et al. ∙

research

∙ 04/27/2022

Divisible Codes for Quantum Computation

Divisible codes are defined by the property that codeword weights share ...

0 Jingzhen Hu, et al. ∙

research

∙ 11/14/2021

Read-and-Run Constrained Coding for Modern Flash Devices

The pivotal storage density win achieved by solid-state devices over mag...

0 Ahmed Hareedy, et al. ∙

research

∙ 10/22/2021

Climbing the Diagonal Clifford Hierarchy

Magic state distillation and the Shor factoring algorithm make essential...

0 Jingzhen Hu, et al. ∙

research

∙ 09/18/2021

Breaking the Computational Bottleneck: Design of Near-Optimal High-Memory Spatially-Coupled Codes

Spatially-coupled (SC) codes, known for their threshold saturation pheno...

0 Siyi Yang, et al. ∙

research

∙ 03/19/2021

Hierarchical Hybrid Error Correction for Time-Sensitive Devices at the Edge

Computational storage, known as a solution to significantly reduce the l...

0 Siyi Yang, et al. ∙

research

∙ 02/24/2021

Binary Subspace Chirps

We describe in details the interplay between binary symplectic geometry ...

0 Tefjol Pllaha, et al. ∙

research

∙ 01/25/2021

GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories

Spatially-coupled (SC) codes, known for their threshold saturation pheno...

0 Siyi Yang, et al. ∙

research

∙ 01/22/2021

Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages

Because of their capacity-approaching performance, graph-based codes hav...

0 Beyza Dabak, et al. ∙

research

∙ 10/31/2020

Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers

Stochastic errors on quantum systems occur randomly but coherent errors ...

0 Jingzhen Hu, et al. ∙

research

∙ 10/21/2020

The Secret Arithmetic of Patterns: A General Method for Designing Constrained Codes Based on Lexicographic Indexing

Constrained codes are used to prevent errors from occurring in various d...

0 Ahmed Hareedy, et al. ∙

research

∙ 10/10/2020

Power Spectra of Constrained Codes with Level-Based Signaling: Overcoming Finite-Length Challenges

Constrained codes are used to eliminate error-prone patterns in various ...

0 Jessica Centers, et al. ∙

research

∙ 09/19/2020

Hierarchical Coding for Cloud Storage: Topology-Adaptivity, Scalability, and Flexibility

In order to accommodate the ever-growing data from various, possibly ind...

0 Siyi Yang, et al. ∙

research

∙ 06/24/2020

Un-Weyl-ing the Clifford Hierarchy

The teleportation model of quantum computation introduced by Gottesman a...

0 Tefjol Pllaha, et al. ∙

research

∙ 05/22/2020

Non-Binary Constrained Codes for Two-Dimensional Magnetic Recording

The two-dimensional magnetic recording (TDMR) technology promises storag...

0 Beyza Dabak, et al. ∙

research

∙ 05/16/2020

Reconstruction of Multi-user Binary Subspace Chirps

We consider codebooks of Complex Grassmannian Lines consisting of Binary...

0 Tefjol Pllaha, et al. ∙

research

∙ 01/26/2020

Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band

We present a general method for constructing radar transmit pulse trains...

0 Wenbing Dang, et al. ∙

research

∙ 01/14/2020

Classical Coding Problem from Transversal T Gates

Universal quantum computation requires the implementation of a logical n...

0 Narayanan Rengaswamy, et al. ∙

research

∙ 01/13/2020

Topology-Aware Cooperative Data Protection in Blockchain-Based Decentralized Storage Networks

From currency to cloud storage systems, the continuous rise of the block...

0 Siyi Yang, et al. ∙

research

∙ 01/08/2020

Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories

Flash memory devices are winning the competition for storage density aga...

0 Ahmed Hareedy, et al. ∙

research

∙ 10/21/2019

On Optimality of CSS Codes for Transversal T

In order to perform universal fault-tolerant quantum computation, one ne...

0 Narayanan Rengaswamy, et al. ∙

research

∙ 09/24/2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters

Encoding the input scale information explicitly into the representation ...

12 Wei Zhu, et al. ∙

research

∙ 07/08/2019

Asymmetric LOCO Codes: Constrained Codes for Flash Memories

In data storage and data transmission, certain patterns are more likely ...

0 Ahmed Hareedy, et al. ∙

research

∙ 06/30/2019

Logical Clifford Synthesis for Stabilizer Codes

Quantum error-correcting codes are used to protect qubits involved in qu...

0 Narayanan Rengaswamy, et al. ∙

research

∙ 05/06/2019

Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage

In order to accommodate the ever-growing data from various, possibly ind...

0 Siyi Yang, et al. ∙

research

∙ 04/16/2019

Kerdock Codes Determine Unitary 2-Designs

The non-linear binary Kerdock codes are known to be Gray images of certa...

0 Trung Can, et al. ∙

research

∙ 04/08/2019

Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes

In order to meet the demands of data-hungry applications, data storage d...

0 Ahmed Hareedy, et al. ∙

research

∙ 02/28/2019

LOCO Codes: Lexicographically-Ordered Constrained Codes

Line codes make it possible to mitigate interference, to prevent short p...

0 Ahmed Hareedy, et al. ∙

research

∙ 01/29/2019

Geometric Matrix Completion with Deep Conditional Random Fields

The problem of completing high-dimensional matrices from a limited set o...

8 Duc Minh Nguyen, et al. ∙

research

∙ 08/01/2018

Orthogonal Time Frequency Space Modulation

This paper introduces a new two-dimensional modulation technique called ...

0 Ronny Hadani, et al. ∙

research

∙ 07/04/2018

Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning

Autoencoders are popular among neural-network-based matrix completion mo...

0 Duc Minh Nguyen, et al. ∙

research

∙ 05/17/2018

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks

Explicit encoding of group actions in deep features makes it possible fo...

0 Xiuyuan Cheng, et al. ∙

research

∙ 03/19/2018

Synthesis of Logical Clifford Operators via Symplectic Geometry

Quantum error-correcting codes can be used to protect qubits involved in...

0 Narayanan Rengaswamy, et al. ∙

research

∙ 02/23/2018

Multi-scale Spectrum Sensing in 5G Cognitive Networks

A multi-scale approach to spectrum sensing is proposed to overcome the h...

0 Nicolo Michelusi, et al. ∙

research

∙ 02/12/2018

DCFNet: Deep Neural Network with Decomposed Convolutional Filters

Filters in a Convolutional Neural Network (CNN) contain model parameters...

0 Qiang Qiu, et al. ∙

research

∙ 01/27/2018

A Characterization of Guesswork on Swiftly Tilting Curves

Given a collection of strings, each with an associated probability of oc...

0 Ahmad Beirami, et al. ∙

research

∙ 01/14/2018

Compressed Neighbour Discovery using Sparse Kerdock Matrices

We study the network-wide neighbour discovery problem in wireless networ...

0 Andrew Thompson, et al. ∙

research

∙ 11/16/2017

LDMNet: Low Dimensional Manifold Regularized Neural Networks

Deep neural networks have proved very successful on archetypal tasks for...

0 Wei Zhu, et al. ∙

research

∙ 07/11/2016

Bounds on the Number of Measurements for Reliable Compressive Classification

This paper studies the classification of high-dimensional Gaussian signa...

0 Hugo Reboredo, et al. ∙

research

∙ 05/08/2016

Rate-Distortion Bounds on Bayes Risk in Supervised Learning

We present an information-theoretic framework for bounding the number of...

0 Matthew Nokleby, et al. ∙

research

∙ 12/21/2015

GraphConnect: A Regularization Framework for Neural Networks

Deep neural networks have proved very successful in domains where large ...

0 Jiaji Huang, et al. ∙

research

∙ 08/07/2015

Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification

This paper considers the classification of linear subspaces with mismatc...

0 Jure Sokolic, et al. ∙

research

∙ 12/18/2014

Data Representation using the Weyl Transform

The Weyl transform is introduced as a rich framework for data representa...

0 Qiang Qiu, et al. ∙

research

∙ 12/01/2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information

This paper offers a characterization of fundamental limits on the classi...

0 Francesco Renna, et al. ∙

research

∙ 01/26/2014

Painting Analysis Using Wavelets and Probabilistic Topic Models

In this paper, computer-based techniques for stylistic analysis of paint...

0 Tong Wu, et al. ∙

research

∙ 06/27/2012

Communications Inspired Linear Discriminant Analysis

We study the problem of supervised linear dimensionality reduction, taki...

0 Minhua Chen, et al. ∙

Robert Calderbank

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