collaborators

30 papers

math.NT2026

Gross vectors modulo 2 and elliptic curves of prime conductor

Matija Kazalicki, Siniša Slijepčević

Let p > 3 be a prime, and let S_p denote the geometric isomorphism classes of supersingular elliptic curves in characteristic p whose j-invariants lie in F_p. For each negative fun…

quant-ph2026

Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization

Caleb Walton, Patricia García-Caspueñas, Filippo Zacchei +3

The fidelity of a quantum gate is sensitive to small deviations in the physical control parameters. Unfortunately, it is generally difficult to exactly model the implemented Hamilt…

physics.flu-dyn2026

Data-driven linear analysis of turbulent flows

Benjamin Herrmann, Katherine Cao, Carlos A. Gonzalez +2

Mean-flow-based linear analyses of turbulent flows, such as resolvent analysis, provide valuable insight about flow structures and their dynamics that has been widely leveraged to…

cs.LG2026

Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements

Filippo Zacchei, Ana Larrañaga, Attilio Frangi +2

Data from simulations and experiments are rarely noise-free and often exhibit heterogeneous levels of fidelity. Measurement uncertainty may vary across repeated observations, sensi…

nlin.CD2026

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

Nicholas Zolman, Sajeda Mokbel, Samuel E. Otto +1

Extreme events -- such as earthquakes and coronal mass ejections -- are common in many chaotic dynamical systems, yet are difficult to characterize and predict due to the subtle in…

cs.LG2026

Learning Individual Dynamics from Sparse Cross-Sectional Snapshots

Christian Lagemann, Kai Lagemann, Steven L. Brunton +1

Predicting how a dynamical unit evolves over time - how an individual ages, an epidemic spreads, or a physical system degrades - typically requires dense longitudinal tracking. Whe…