Browsing by Advisor "Garani, Shayan Srinivasa"
Now showing items 1-7 of 7
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Efficient Hardware Architectures for Error Correcting Codes Applicable to Data Storage
Error correcting codes (ECCs) are essential to transmission and data storage sys-tems to protect the information from errors introduced by noisy communication channels. There are two main classes of ECCs, namely algebraic ... -
Entanglement-assisted Additive Qudit Stabilizer Codes
Quantum systems governed by the laws of quantum mechanics are the most awaited technology of this century. Based on the shrinkage in the size of the devices over the years in classical systems, device sizes are expected ... -
Learning Non-linear Mappings from Data with Applications to Priority-based Clustering, Prediction, and Detection
With the volume of data generated in today's internet-of-things, learning algorithms to extract and understand the underlying relations between the various attributes of data have gained momentum. This thesis is focused ... -
Protocols for quantum information processing on graph states
Quantum entanglement is a unique phenomenon that occurs in quantum systems and ensures the feasibility of tasks considered impossible in the classical world. Two such important tasks are superdense coding and quantum ... -
Quantum Communication in Acyclic Directed Networks
We propose conditions for establishing the teleportation protocol between any two nodes in a quantum network. The conditions include (i) a network connection must exist between any two nodes, in other words, the network ... -
Signal Processing and Coding for Two-Dimensional Magnetic Recording
Many novel approaches have been proposed to improve storage densities of magnetic recording beyond the existing 1 Tb/in2. These include heat-assisted magnetic recording (HAMR), bit-patterned media (BPM) and two-dimensional ... -
Spatio-temporal Memories: Theory and Algorithms
This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ...