Percolation of Data Constraints and Reorganization of Boolean Function States in Parity Learning
quant-ph, cond-mat.dis-nn, cond-mat.stat-mech, cond-mat.str-el
Submitted: 2026-10-09
Updated: 2026-10-09
Comments: 24+4 pgs, 10+1 figs
Code: https://github.com/HanMaPhy/Learning_differentiation_and_recoherence
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Statistical mechanics of classical and quantum computational complexity
- Replica Fragmentation and Glassy Dynamics in Parity Learning
- Deep learning generalizes because the parameter-function map is biased towards simple functions
- Stabilizer Codes and Quantum Error Correction
Related papers
- Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
- Encrypted clones can leak: Classification of informative subsets in Quantum Encrypted Cloning
- Polynomial-time classical and quantum simulation of quantum impurity models
- A quasiparticle-protected superconducting qubit
- Theory of quantum-enhanced interferometry with general Markovian light sources
- A convergent hierarchy of spectral gap certificates for qubit Hamiltonians