Random Matrix Approaches in Classical and Quantum Information Theory
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Quantum Information".
Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 6322
Special Issue Editors
Interests: coding theory; computer algebra system; information theory (classical and quantum); orthogonal polynomials; random matrix theory; special functions
Special Issues, Collections and Topics in MDPI journals
2. Bell Labs, NJ 07974-0636, USA
Special Issue Information
Dear Colleagues,
Classical information theory is the theory behind modern development of computing, communication, data compression, and other fields. As its classical counterpart, quantum information theory aims at understanding the theoretical underpinnings of quantum sciences that will enable future quantum technologies. Random matrix theory, originating from physics, emerges as an indispensable tool in understanding various problems in both classical and quantum information theory.
This Special Issue solicits recent advances in random matrix methods to classical and quantum information theory. Topics include but are not limited to applications of random matrix theory to:
- Caching and data retrieval
- Coding theory (classical and quantum)
- Communications theory (classical and quantum)
- Compressed sensing
- Concentration of measure techniques
- Deep neural networks
- Detection and estimation
- Geometry of quantum states
- Graph signal processing
- Quantum chaos and entanglement
- Random density matrices and entropies
- Spectral methods for graph clustering and classification
Dr. Lu Wei
Dr. Antonia Tulino
Dr. Santosh Kumar
Guest Editors
Manuscript Submission Information
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