Author

A. Sornborger

2 papers indexed here

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Open access Oct 2026

Quantum algorithms for general nonlinear dynamics based on the Carleman embedding

Important nonlinear dynamics, such as those found in plasma and fluid systems, are typically hard to simulate on classical computers. Thus, if fault-tolerant quantum computers could efficiently solve such nonlinear problems, it would be a transformative change for many industries. In a recent breakthrough [Liu et al....

David Jennings, K. Korzekwa, Matteo Lostaglio et al. · Quantum · 0 citations

#machine learning Preprint Sep 2026

All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation

This contribution presents the design and implementation of a fully on-chip, closed-loop Loihi 2 RL agent, demonstrating the viability of RL on neuromorphic hardware and highlighting its promise for building energy-efficient, real-time, embedded AI systems.

Steven C. Nesbit, Giovanni T. Michel, G. Kunde et al. · 1 citation