Zobrazeno 1 - 10
of 19 905
pro vyhledávání: '"A Raghav"'
We present a quantum computational framework for SU(2) lattice gauge theory, leveraging continuous variables instead of discrete qubits to represent the infinite-dimensional Hilbert space of the gauge fields. We consider a ladder as well as a two-dim
Externí odkaz:
http://arxiv.org/abs/2410.14580
Autor:
Özer, Burak, Ochkan, Kyrylo, Chaturvedi, Raghav, Maltsev, Evgenii, Könye, Viktor, Giraud, Romain, Veyrat, Arthur, Hankiewicz, Ewelina M., Watanabe, Kenji, Taniguchi, Takashi, Büchner, Bernd, Brink, Jeroen van den, Fulga, Ion Cosma, Dufouleur, Joseph, Veyrat, Louis
Quantum Hall phases have recently emerged as a platform to investigate non-Hermitian topology in condensed-matter systems. This platform is particularly interesting due to its tunability, which allows to modify the properties and topology of the inve
Externí odkaz:
http://arxiv.org/abs/2410.14329
Low-Rank Adaptation (LoRA) is a popular technique for efficient fine-tuning of foundation models. However, applying LoRA in federated learning environments, where data is distributed across multiple clients, presents unique challenges. Existing metho
Externí odkaz:
http://arxiv.org/abs/2410.09432
Star formation rates (SFRs) are a crucial observational tracer of galaxy formation and evolution. Spectroscopy, which is expensive, is traditionally used to estimate SFRs. This study tests the possibility of inferring SFRs of large samples of galaxie
Externí odkaz:
http://arxiv.org/abs/2410.06736
The research focuses on determining the metallicity ([Fe/H]) predicted in the solar twin stars by using various regression modeling techniques which are, Random Forest, Linear Regression, Decision Tree, Support Vector, and Gradient Boosting. The data
Externí odkaz:
http://arxiv.org/abs/2410.06709
Autor:
Bhatta, Gopal, Chaudhary, Suvas C., Dhital, Niraj, Adhikari, Tek P., Mohorian, Maksym, Pánis, Radim, Neupane, Raghav, Maharjan, Yogesh Singh
Blazars, a class of active galactic nuclei (AGN) powered by supermassive black holes, are known for their remarkable variability across multiple timescales and wavelengths. With advancements in both ground- and space-based telescopes, our understandi
Externí odkaz:
http://arxiv.org/abs/2410.01278
Deep multimodal learning has shown remarkable success by leveraging contrastive learning to capture explicit one-to-one relations across modalities. However, real-world data often exhibits shared relations beyond simple pairwise associations. We prop
Externí odkaz:
http://arxiv.org/abs/2409.17777
Spectral clustering has proven effective in grouping speech representations for speaker diarization tasks, although post-processing the affinity matrix remains difficult due to the need for careful tuning before constructing the Laplacian. In this st
Externí odkaz:
http://arxiv.org/abs/2410.00023
In this report, we describe the speaker diarization (SD) and language diarization (LD) systems developed by our team for the Second DISPLACE Challenge, 2024. Our contributions were dedicated to Track 1 for SD and Track 2 for LD in multilingual and mu
Externí odkaz:
http://arxiv.org/abs/2409.15356
The first-ever measurement of energy correlators within inclusive jets produced in heavy-ion collisions, revealed by the CMS Collaboration, shows a clear enhancement at large angles relative to the proton-proton (p-p) baseline. However, interpreting
Externí odkaz:
http://arxiv.org/abs/2409.07514