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Imaginary time evolution (ITE) is a powerful method for ground state preparation of a given Hamiltonian. The normalized ITE can be viewed as a gradient flow of the energy expectation value with respect to the Fubini Study metric. In this work, we propose a generalized nonlinear imaginary time evolution (NITE) for more general quantum state preparation tasks. We further present a hardware efficient variational impl...
Current electroencephalography (EEG) based dream detection relies on power spectral density (PSD) and statistical moment features, achieving a state of the art area under the receiver operating characteristic curve (AUC) of approximately 0.70 on the DREAM database (Wong et al., 2025, Nature Communications). We introduce PHINN EEG (Persistent Homology Inspired Neural Network for EEG), the first topological time ser...
BigP3BCI Study C is a P300 based brain computer interface dataset comprising EEG recordings from 19 healthy subjects performing a visual speller task using a 6x6 checkerboard paradigm. The dataset contains single session recordings with 32 channel EEG data sampled at 256 Hz, annotated with target and non target event labels. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300...
We investigate Unruh DeWitt detectors coupled to composite observables of a quantum scalar field, including quadratic coupling to the field momentum and coupling to the local energy density. We develop a distributional framework for evaluating the corresponding detector response functions and apply it to detectors crossing the Rindler firewall. While we recover the finite response of the derivative coupling model,...
Exoplanets are high value targets for a variety of ground and space based telescopes. All known exoplanets are Galactic, and a fraction of them orbit compact objects. In this work, we investigate the possibility of detecting extragalactic exoplanets orbiting stellar mass compact binary coalescences (CBCs), such as binary neutron stars, neutron star black holes, and binary black holes, using future gravitational wa...
This dataset comprises electroencephalographic recordings from 38 healthy subjects engaged in a multi user P300 based brain computer interface experiment called Brain Invaders. Participants played in pairs across three conditions (Solo1, Solo2, and Collaboration) using a visual oddball paradigm with 36 symbols to elicit P300 responses. The study investigates inter brain synchrony during collaborative BCI gaming, w...
Concept based explainable artificial intelligence (AI) can make model reasoning more human understandable, but concept level outputs are not automatically trustworthy. We introduce ConceptSMILE, a model agnostic perturbation based auditing framework for evaluating the reliability of concept based explanations. Rather than replacing SMILE, ConceptSMILE extends its perturbation based logic from feature or region lev...
This dataset comprises electroencephalographic recordings from 50 healthy subjects performing a visual P300 brain computer interface videogame called Brain Invaders. The experiment employed an oddball paradigm with 36 symbols flashed pseudo randomly across three sessions with varying flash durations (50ms, 80ms, 110ms) to elicit P300 responses. EEG signals were acquired using 32 active wet electrodes at 512 Hz sam...
The centre of mass (CoM) of compact binary coalescences (CBCs) occurring in the vicinity of a supermassive black hole, through interaction with an arbitrary third body (e.g., of stellar mass), or in a dense stellar environment, will undergo a time varying line of sight (LOS) velocity. This in turn leads to a time varying Doppler shift and corresponding modulations in the shape of the gravitational waves (GWs). The...
This dataset comprises EEG recordings from 8 ALS patients performing a P300 based brain computer interface speller task using a 9x8 character grid. Participants completed 2 sessions each, with 16 channel EEG data acquired at 256 Hz using dry and wet electrode configurations for comparison. The dataset is part of the BigP3BCI study, the largest public P300 BCI dataset, and includes standardized HED event annotation...
Financial anomaly detection suffers from extreme class imbalance, causing traditional single objective algorithms to exhibit fraud collapse'', defaulting to the majority class and failing to balance anomaly interdiction with customer friction. To overcome this without distortive data resampling, we propose the Semantic Pareto DQN, a multi objective reinforcement learning framework. Our approach synthesizes heterog...
This dataset comprises EEG recordings from 16 healthy participants performing motion visually evoked potential (mVEP) speller tasks using three different paradigm variants: overt gaze directed (Overt Cake Speller), covert attention based (Covert Cake Speller), and foveal motion center stimulation (Motion Center Speller). The study investigates gaze independent brain computer interface communication through P300 ba...
BigP3BCI Study G is a P300 based brain computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16 channel EEG with a g.USBamp amplifier and include target and non t...
Vision language models (VLMs) have made remarkable progress in visual reasoning during the last decade. Most evaluations have used simple scenes (MS COCO) that do not showcase complex human interactions or behaviors, only a handful of non curated human descriptions as a benchmark, and have not focused on understanding the model's error types. Here, we introduce the Complex Social Behavior (CSB) dataset, containing...
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information processing, underpinning quantum communication, computation, and error correction. Formalizing its coding theorems requires connecting finite block protocols, analytic inequalities, and asymptotic limits within a unified machine checked framework. Existing developments, however, lack a reusable operational...
We revisit von Neumann's theory of infinite tensor products of Hilbert spaces. On the set $Γ$ of equivalence classes of $C 0$ sequences, which labels the incomplete tensor products inside the complete tensor product, we introduce a natural pseudo ultrametric $d$: the distance between two classes is the convergence exponent of the series $\sum j|\langle\varphi j,ψ j\rangle 1|$ formed from any pair of representative...
The BNCI 2014 002 Motor Imagery dataset comprises EEG recordings from 14 healthy subjects performing two class motor imagery tasks (right hand and feet imagination) in a cue guided Graz BCI paradigm. Data were acquired at 512 Hz using 15 EEG channels with online Butterworth filtering and Laplacian montage, yielding 160 trials per subject with continuous visual feedback. This minimally preprocessed dataset has been...
As chip complexity increases and time to market pressures grow, front end design has become a critical bottleneck in chip development. Recently, Large Language Models (LLMs) have shown great potential in Electronic Design Automation (EDA). Beyond specification understanding, LLMs show the potential to serve as a unified intelligent interface for hardware description language (HDL) generation, testbench constructio...
Current observations reveal persistent tensions with the standard cold dark matter paradigm, raising the question of whether these can be explained by baryonic physics alone or require alternative dark matter models. One such alternative is fuzzy (or wave) dark matter, consisting of ultralight particles with mass $m \sim 10^{ 22}$ eV and de Broglie wavelengths on kpc to Mpc scales, which may give rise to large sca...
Many production quantum programming languages represent hybrid quantum computations by extending a classical base language with a quantum effect, where qubits are addressed by reference, and quantum operations are understood to mutate some external quantum state. However, the semantics of this view of quantum computation remains underdeveloped, especially when the language allows mid circuit measurements and non t...
