3 papers
cs.LG2025
Information-Theoretic Framework for Understanding Modern Machine-Learning
Meir Feder, Ruediger Urbanke, Yaniv Fogel
We introduce an information-theoretic framework that views learning as universal prediction under log loss, characterized through regret bounds. Central to the framework is an effe…
cs.IT2025
Reed-Muller Codes for Quantum Pauli and Multiple Access Channels
Dina Abdelhadi, Colin Sandon, Emmanuel Abbe +1
Reed-Muller (RM) codes have undergone significant analytical advancements over the past decade, particularly for binary memoryless symmetric (BMS) channels. We extend the scope of…
quant-ph2025
Interpolation of Quantum Polar Codes and Quantum Reed-Muller Codes
Keita Hidaka, Dina Abdelhadi, Ruediger Urbanke
Good quantum error-correcting codes that fulfill practical considerations, such as simple encoding circuits and efficient decoders, are essential for functional quantum information…