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19912026

6,101 papers

cond-mat.str-el2026

Variational Monte Carlo for the Hubbard model

Luca F. Tocchio

In these lecture notes, we introduce the variational Monte Carlo method for the Hubbard model. First, we briefly introduce the single-orbital Hubbard model and its multi-orbital ex…

astro-ph.IM2026

Hardware-efficient neural networks for FPGA-based radio triggering of extensive air showers

Vesselin Dimitrov, Alperen Aksoy, Ilja Bekman +7

We present a hardware-efficient hybrid trigger for FPGA-based radio detection of extensive air showers. The hybrid design consists of a lightweight denoiser that cleans raw ADC tra…

cs.CV2026★ 2 cited

Using Channel Representations in Regularization Terms: A Case Study on Image Diffusion

Christian Heinemann, Freddie Åström, George Baravdish +3

In this work we propose a novel non-linear diffusion filtering approach for images based on their channel representation. To derive the diffusion update scheme we formulate a novel…

cs.ET2026★ 1 cited

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM via Compact Modeling

Matteo Galetta, Donato Francesco Falcone, Victoria Clerico +7

Resistive Random Access Memory (ReRAM) devices offer a promising solution for next-generation non-volatile memory and neuromorphic computing systems. Yet, existing compact models f…

cond-mat.mes-hall2026

Enhanced intrinsic spin-orbit driving of a Loss-DiVincenzo qubit near the spin-valley hotspot in Si/SiGe

Alexander Willmes, Max Oberländer, Max Beer +7

In most Si/SiGe-based spin qubit implementations, high-fidelity single-qubit gates are achieved using micromagnets, which enable the use of electric spin dipole resonance via synth…

cs.LG2026

Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks

Ben Spoek, Karim K. Ben Hicham, Kai Derzsi +3

District heating energy hubs require reliable heat load forecasts for efficient operational scheduling. Forecasting models trained on historical data may require retraining as netw…