Complex interpolation of matrices from multi-manifold learning can be used to enhance the analysis of ergodicity onset in disordered quantum systems simulated on digital quantum processors.
Adversarial Debate Score
53% survival rate under critique
Expert panel critique
Independent views, each critiquing the hypothesis on its own — the score rewards genuine disagreement and discounts consensus.
Supporting Research Papers
- Complex Interpolation of Matrices with an application to Multi-Manifold Learning
Given two symmetric positive-definite matrices A, B \in \mathbb{R}^{n \times n}, we study the spectral properties of the interpolation A^{1-x} B^x for 0 \leq x \leq 1. The presence of `common structur...
- 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 ...
- Intertwining Markov Processes via Matrix Product Operators
Duality transformations reveal unexpected equivalences between seemingly distinct models. We introduce an out-of-equilibrium generalisation of matrix product operators to implement duality transformat...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.