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Differential-Integral Neural Operator for Long-Term Turbulence Forecasting
Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Qingsong Wen, Kun Wang, Xiaomeng Huang, Xian Wu
https://arxiv.org/abs/2509.21196

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting
Accurately forecasting the long-term evolution of turbulence represents a grand challenge in scientific computing and is crucial for applications ranging from climate modeling to aerospace engineering. Existing deep learning methods, particularly neural operators, often fail in long-term autoregressive predictions, suffering from catastrophic error accumulation and a loss of physical fidelity. This failure stems from their inability to simultaneously capture the distinct mathematical structures…

Path-Controlled Secure Network Coding
Masahide Sasaki, Te Sun Han, Mikio Fujiwara, Kai Li, Oliver Hambrey, Atsushi Esumi
https://arxiv.org/abs/2509.21115 https://

Path-Controlled Secure Network Coding
Multicast for securely sharing confidential data among many users is becoming increasingly important. Currently, it relies on duplicate-and-forward routing and cryptographic methods based on computational security. However, these approaches neither attain multicast capacity of the network, nor ensure long-term security against advances in computing (information-theoretic security: ITS). Existing ITS solutions--quantum key distribution (QKD), physical layer security (PLS), and secure network cod…

Time-Based State-Management of Hash-Based Signature CAs for VPN-Authentication
Daniel Herzinger, Linus Heise, Daniel Loebenberger, Matthias S\"ollner
https://arxiv.org/abs/2509.11695

Time-Based State-Management of Hash-Based Signature CAs for VPN-Authentication
Advances in quantum computing necessitate migrating the entire technology stack to post-quantum cryptography. This includes IPsec-based VPN connection authentication. Although there is an RFC draft for post-quantum authentication in this setting, the draft does not consider (stateful) hash-based signatures despite their small signature size and trusted long-term security. We propose a design with time-based state-management that assigns VPN devices a certificate authority (CA) based on the ha…

Neuromorphic Photonic Circuits with Nonlinear Dynamics and Memory for Time Sequence Classification
Alessandro Foradori, Alessio Lugnan, Lorenzo Pavesi, Peter Bienstman
https://arxiv.org/abs/2509.11721 …

Neuromorphic Photonic Circuits with Nonlinear Dynamics and Memory for Time Sequence Classification
Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but often falls short in realizing scalable nonlinearity and long-term memory. We overcome these limitations by employing silicon microring resonator (MRR) networks. These integrated photonic circuits enable compact, high-throughput neuromorphic computing by simultaneously exploiting spatial, temporal, and wavelength dimensions. This work advances the investigation of MRR networks for photo…