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This paper introduces attention-free latent memory and dynamic re-encoding to improve long-horizon predictions in Koopman autoencoders, reducing error accumulation on benchmark dynamical systems.
Amazon and QuEra promise useful error-corrected quantum computing by 2028 with their Libra hardware, aiming to achieve a million quantum operations over hundreds of logical qubits for scientific applications beyond classical and NISQ computers.
This paper proposes Trajectory-Augmented Policy Optimization (TAPO), which constructs micro-reflective correction trajectories using the model's own correct and incorrect rollouts to improve reasoning in large language models, outperforming standard self-distillation methods on math benchmarks.
CYGNET is a pre-execution gate system that validates and corrects Cypher queries generated by LLM agents over knowledge graphs, catching structural failures before they hit production databases with near-zero false positives and achieving 81–95% success in repairing broken queries across five language models.
A new study reveals a software strategy to reduce cosmic ray-induced errors in superconducting quantum computers by nearly a half-million-fold, bringing failure rates from every 10 seconds down to less than once per month.