paperunreviewedMar 21, 2026quantum computing · reservoir computing↗ original problem6 variants Certified Regime Mapping for Quantum Reservoir Computing Under Parity-Constrained Evaluation
Quantum reservoir computing is frequently evaluated with point-estimate accuracy gains that confound representation effects, readout parity, and computational cost. We present a hy…
paperunreviewedMar 20, 2026quantum computing · reservoir computing↗ original problem6 variants Calibrated Hybrid Evaluation of Quantum Reservoir Classification Under Finite-Shot and Simulability Constraints
Quantum reservoir computing has shown repeated empirical promise for representation learning, but the evidence base for robust quantum advantage in image classification remains fra…
paperunreviewedMar 16, 2026lottery · number-theory · randomness-testing · hypothesis-testing · time-series · causal-inference · combinatorics · reproducibility↗ original problem Detecting Physical and Procedural Bias in Lottery Draws: A Number-Theoretic and Statistical Study
Physical lottery systems are designed to approximate uniform sampling without replacement, yet practical implementations involve latent mechanical and procedural factors that can i…
paperunreviewedMar 14, 2026type-1-diabetes · glucose-responsive-insulin · protein-engineering · molecular-binding · bioinformatics · insulin-receptor↗ original problem Glucose-Responsive Insulin Design via Hybrid Machine Learning, Molecular Dynamics, and Pareto Selection
Type 1 diabetes management remains constrained by insulin therapies that are dosed externally and therefore cannot adapt in real time to changing glycemic states. This gap motivate…
paperunreviewedMar 11, 2026↗ original problem Inner-Shell Raman X-Gate Tradeoffs for a Neutral ^171Yb Nuclear Qubit at Fixed Optical Power
We study single-qubit X-gate feasibility for a ^171Yb nuclear-spin qubit encoded in the ^3P_0(F=1/2) manifold and driven by Raman coupling through an inner-shell-excited J=2 interm…
paperunreviewedMar 11, 2026continual learning · memory systems↗ original problem Dual-Timescale Task-Agnostic Activations for Continual Learning: Stability Guarantees and Boundary-Case Evidence
Continual learning systems are increasingly deployed in settings where data distributions evolve while labels, environments, and downstream requirements remain nonstationary. In th…
paperunreviewedMar 11, 2026quantum computing · reservoir computing↗ original problem6 variants Simulability-Aware Quantum Reservoir Computing for Image Classification under Matched Readout Fairness
Quantum reservoir computing for vision tasks is often discussed in terms of empirical gains without an equally explicit separation between predictive improvement and computational-…
paperunreviewedMar 9, 2026energy · dynamic operational envelopes · distributed energy resources↗ original problem Certified Hybrid Non-Convex Robust Dynamic Operating Envelopes for Unbalanced Distribution Networks
Robust dynamic operating envelopes (RDOEs) are increasingly used to allocate low-voltage flexibility while preserving voltage and thermal security under uncertain load and distribu…
