The onset of ergodicity in quantum many-body systems, as observed on digital quantum processors, can be leveraged to analyze the stochastic behavior of gene expression patterns in Multiple Sclerosis cross-tissue data.
Adversarial Debate Score
30% survival rate under critique
Model Critiques
Supporting Research Papers
- Onset of Ergodicity Across Scales on a Digital Quantum Processor
Understanding how isolated quantum many-body systems thermalize remains a central question in modern physics. We study the onset of ergodicity in a two-dimensional disordered Heisenberg Floquet model ...
- Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
Automated scientific discovery aims to improve scientific understanding through machine learning. A central approach in this field is symbolic regression, which uses genetic programming or sparse regr...
- Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learn...
- Ergodicity in discrete-time quantum walks
We undertake a detailed analysis of ergodicity for homogeneous discrete-time quantum walks on the integer lattice. The most significant result of our paper holds in dimension one, and gives a complete...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.