activity
20222026
most citedQuantum computing of the Li nucleus via ordered unitary coupled clusters

76 citations · 76 across the 3 of their papers we have counts for

collaborators

7 papers

physics.ins-det2026

Commissioning and Performance of the Time-of-Flight Detector for the T2K Neutrino Oscillation Experiment

C. Alt, L. Amziane, N. Baudis +23

The T2K ND280 Upgrade aims to reduce systematic uncertainties in measurements of neutrino oscillation parameters and improve sensitivity to the charge-parity (CP)-violating phase,…

hep-ph2026

Probing Neutrino-Energy Reconstruction with New Superscaling-Based Observables

Lounès Amziane, Soniya Samani, Lorenzo Giannessi +1

In this study, we explore the superscaling variable within the context of neutrino-nucleus charged-current quasielastic interactions. Building on the neutrino-oriented definit…

hep-ex2026

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics

Mathias El Baz, Lorenzo Giannessi, Adrien Blanchet +1

Precision long-baseline neutrino experiments use near-detector data to constrain systematic uncertainties on the unoscillated neutrino flux, a prerequisite for accurate oscillation…

astro-ph.IM2025

Characterisation of the Bedretto Underground Site for Fundamental Physics Experiments

Björn Penning, Nicolas Angelides, Laura Baudis +33

Underground laboratories provide the ultra-low background and low-vibration environments essential for rare-event searches, gravitational-wave detection, and quantum-sensing techno…

hep-ex2025

Modeling Scintillation Photon Transport and Reconstruction Algorithms for the Time-of-Flight Detector in the T2K Neutrino Experiment

C. Alt, A. Blanchet, S. Bordoni +18

The T2K ND280 upgrade aims to reduce the systematic uncertainty of the CP-violating phase, , to reject non-CP violation hypothesis at confidence level. A crucial compo…

physics.data-an2024

Fast Posterior Probability Sampling with Normalizing Flows and Its Applicability in Bayesian analysis in Particle Physics

Mathias El Baz, Federico Sánchez

In this study, we use Rational-Quadratic Neural Spline Flows, a sophisticated parametrization of Normalizing Flows, for inferring posterior probability distributions in scenarios w…

nucl-th2022★ 76 cited

Quantum computing of the Li nucleus via ordered unitary coupled clusters

Oriel Kiss, Michele Grossi, Pavel Lougovski +3

The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy of quantum many-body systems. A key component of the algorithm and an active re…