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arXiv:2601.16646v2 Announce Type: replace Abstract: We develop and numerically analyze an algebraic-geometric framework for spin-adapted coupled-cluster (CC) theory. Since the electronic Hamiltonian is SU(2)-invariant, physically...
arXiv:2601.17163v2 Announce Type: replace Abstract: A size-extensive, converging, black-box, ab initio coupled-cluster ($\Delta$CC) ansatz is introduced that computes the energies and wave functions of stationary...
arXiv:2601.19351v3 Announce Type: replace Abstract: Data-driven turbulence prediction methods often face challenges related to data dependency and lack of physical interpretability. In this paper, we...
arXiv:2408.03924v3 Announce Type: replace-cross Abstract: We derive exact, universal, closed-form quantum Monte Carlo estimators for finite-temperature energy susceptibility and fidelity susceptibility, applicable to essentially arbitrary...
arXiv:2410.00244v4 Announce Type: replace-cross Abstract: Variable renewable energy droughts, so called Dunkelflaute events, emerge as a challenge for climate-neutral energy systems based on variable renewables....
arXiv:2411.16416v2 Announce Type: replace-cross Abstract: Discovering explicit physical laws has traditionally depended on human intuition and domain expertise. Recent advances in artificial intelligence, particularly large...
arXiv:2504.02824v2 Announce Type: replace-cross Abstract: The confluence of non-Hermitian (NH) topology and crystal defects has culminated significant interest, yet its experimental exploration has been limited...
arXiv:2504.07295v2 Announce Type: replace-cross Abstract: In a typical finite temperature quantum Monte Carlo (QMC) simulation, estimators for simple static observables such as specific heat and...
arXiv:2509.20005v3 Announce Type: replace-cross Abstract: We study the activity of "living" droplets, which confine 1-6 mesoswimmers in 3D using a superhydrophobic substrate. The swimmers induce...
arXiv:2509.21670v4 Announce Type: replace-cross Abstract: We introduce MORPH, a modality-agnostic, autoregressive foundation model for partial differential equations (PDEs). MORPH is built on a convolutional vision...
arXiv:2510.07658v2 Announce Type: replace-cross Abstract: We propose cascaded spontaneous four-wave mixing (SFWM) in microring resonators as a scalable and efficient approach for directly generating non-Gaussian...
arXiv:2510.20618v2 Announce Type: replace-cross Abstract: This study demonstrates that the free-surface flow dynamics of dense piles of contactless silica microparticles depend on the resting period...
arXiv:2601.20865v1 Announce Type: new Abstract: We introduce a validity-filtered, certificate-based view of reactions grounded in Algorithmic Information Theory. A fixed, total, input-blind executor maps a...
arXiv:2601.20866v1 Announce Type: new Abstract: The synchronous Nyquist folding generalized eigenvalue method (SNGEM) realizes full frequency/amplitude/phase estimation of multitone signals at extreme sub-Nyquist rates by...
arXiv:2601.20867v1 Announce Type: new Abstract: Prompt tuning has achieved remarkable progress in vision-language models (VLMs) and is recently being adopted for audio-language models (ALMs). However,...
arXiv:2601.20868v1 Announce Type: new Abstract: Large Language Models (LLMs) have advanced the field of Combinatorial Optimization through automated heuristic generation. Instead of relying on manual...
arXiv:2601.20870v1 Announce Type: new Abstract: Spiking Neural Networks (SNNs) are inherently suited for continuous learning due to their event-driven temporal dynamics; however, their application to...
arXiv:2601.20876v1 Announce Type: new Abstract: We present BioNIC, a multi-layer feedforward neural network for emotion classification, inspired by detailed synaptic connectivity graphs from the MICrONs...
arXiv:2601.20879v1 Announce Type: new Abstract: Context. Large Language Models (LLMs) are increasingly embedded in software engineering workflows for tasks including code generation, summarization, repair, and...
arXiv:2601.20881v1 Announce Type: new Abstract: Lipreading, the technology of decoding spoken content from silent videos of lip movements, holds significant application value in fields such...
arXiv:2601.20882v1 Announce Type: new Abstract: Even though demonstrating extraordinary capabilities in code generation and software issue resolving, AI agents' capabilities in the full software DevOps...
arXiv:2601.20883v1 Announce Type: new Abstract: Morphing techniques generate artificial biometric samples that combine features from multiple individuals, allowing each contributor to be verified against a...
arXiv:2601.20884v1 Announce Type: new Abstract: Multimodal pretraining is effective for building general-purpose representations, but in many practical deployments, only one modality is heavily used during...
arXiv:2601.20885v1 Announce Type: new Abstract: With the widespread adoption of Large Language Models (LLMs) and increasingly stringent privacy regulations, protecting data privacy in LLMs has...