1. PADAKANDLA Arun
  2. PADAKANDLA Arun
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PADAKANDLA Arun

Journal

Gouiaa, Fatma; Padakandla, Arun

Simultaneous decoding of classical coset codes over 3-user quantum interference channel : New achievable rate regions

Submitted to ArXiV, 13 March 2025
Detail
ARXIV
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Journal

Magner, Abram; Padakandla, Arun

Fat shattering, joint measurability, and PAC learnability of POVM hypothesis classes

Quantum Information Processing, Volume 23, article number 337, 7 October 2024
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DOI
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Conference

Padakandla, Arun

Simulation of separable quantum measurements on bipartite states via likelihood POVMs

EACN 2024, Workshop on Entanglement Assisted Communication Networks, 18-20 September 2024, Braunschweig, Germany
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Conference

Magner, Abram; Padakandla, Arun

Empirical risk minimization and uniform convergence for probabilistically observed and quantum measurement hypothesis classes

ISIT 2024, IEEE International Symposium on Information Theory, 7-12 July 2024, Athens, Greece
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Document
DOI
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Conference

Padakandla, Arun; Warsi, Naqueeb

Simulation of separable quantum measurements on bipartite states via likelihood POVMs

ISIT 2024, IEEE International Symposium on Information Theory, 7-12 July 2024, Athens, Greece

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Document
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Talk

Padakandla, Arun

Computation over quantum MAC and simulation of separable quantum measurements

WDCL 2024, Workshop on Distributed Computing, optimization & Learning, 22-23 May 2024, Paris, France
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Talk

Padakandla, Arun

Multi-terminal communication strategies based on foundationally new approaches and code designs

Invited talk, INSA, 14 March 2024, Lyon, France
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Talk

Padakandla, Arun

New results in quantum-classical covering and classical-quantum packing in network scenarios

Invited talk, INRIA, 13 March 2024, Lyon, France
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Poster / Demo

Padakandla, Arun

Quantum measurement compression via likelihood POVMs

GSI 2023, 6th International Conference on Geometric Science of Information, 30 August-1 September 2023, Saint-Malo, France
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Document
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Conference

Magner, Abram; Padakandla, Arun

Fat shattering, joint measurability, and PAC learnability of POVM hypothesis classes

Submitted to ArXiV, 21 August 2023
Detail
ARXIV
BIBTEX