4 papers
Real-time Krylov Diagonalisation for Open Quantum Systems
D. A. Herrera-MartÃ
In this chapter, we demonstrate how real-time quantum Krylov subspace methods can be adapted to investigate open quantum systems described by the Lindblad formalism. We apply these…
StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
A. Yermekov, D. A. Herrera-MartÃ
Feature selection in high-dimensional genomic data () demands methods that are simultaneously accurate, sparse, and stable. Existing approaches either require manual thres…
StackFeat: a convergent algorithm for optimal predictor selection in genomic data
Akbar Yermekov, D. A. Herrera-MartÃ
In high-dimensional genomic data, the curse of dimensionality (d >> n) and limited sampling make feature selection inherently unstable - a critical barrier to biomarker discovery.…
A Hardware Accelerator for the Goemans-Williamson Algorithm
D. A. Herrera-MartÃ, E. Guthmuller, J. Fereyre
The combinatorial problem Max-Cut has become a benchmark in the evaluation of local search heuristics for both quantum and classical optimisers. In contrast to local search, which…