2 papers
quant-ph2026
A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks
Ban Q. Tran, Duong M. Chu, Hai T. D. Pham +3
Quantum Machine Learning (QML) has recently emerged as a highly promising research frontier. Within this domain, Quantum Neural Networks (QNNs),characterized by Variational Quantum…
hep-ex2025
Testing T2K's Bayesian constraints with priors in alternate parameterisations
The T2K Collaboration, K. Abe, S. Abe +400
Bayesian analysis results require a choice of prior distribution. In long-baseline neutrino oscillation physics, the usual parameterisation of the mixing matrix induces a prior tha…