Zobrazeno 1 - 10
of 25 961
pro vyhledávání: '"Montoya, A. P."'
Autor:
Bakshi, Rhea Palak, Guo, Ali, Ibarra, Dionne, Montoya-Vega, Gabriel, Mukherjee, Sujoy, Silvero, Marithania, Spreer, Jonathan
Independence complexes of circle graphs are purely combinatorial objects. However, when constructed from some diagram of a link $L$, they reveal topological properties of $L$, more specifically, of its Khovanov homology. We analyze the homotopy type
Externí odkaz:
http://arxiv.org/abs/2412.01125
Detecting and characterizing decoherence-inducing noise sources is critical for developing scalable quantum technologies and deploying quantum sensors that operate at molecular scales. Yet, existing methods for such noise spectroscopy face fundamenta
Externí odkaz:
http://arxiv.org/abs/2411.17064
Predicting the exact many-body quantum dynamics of polarons in materials with strong carrier-phonon interactions presents a fundamental challenge, often necessitating one to adopt approximations that sacrifice the ability to predict the transition fr
Externí odkaz:
http://arxiv.org/abs/2411.17021
Early and accurate melanoma detection is crucial for improving patient outcomes. Recent advancements in artificial intelligence AI have shown promise in this area, but the technologys effectiveness across diverse skin tones remains a critical challen
Externí odkaz:
http://arxiv.org/abs/2411.12846
Autor:
Ock, Janghoon, Montoya, Joseph, Schweigert, Daniel, Hung, Linda, Suram, Santosh K., Ye, Weike
Materials science datasets are inherently heterogeneous and are available in different modalities such as characterization spectra, atomic structures, microscopic images, and text-based synthesis conditions. The advancements in multi-modal learning,
Externí odkaz:
http://arxiv.org/abs/2411.08664
The exact quantum dynamics of lattice models can be computationally intensive, especially when aiming for large system sizes and extended simulation times necessary to converge transport coefficients. By leveraging finite memory times to access long-
Externí odkaz:
http://arxiv.org/abs/2411.08598
Porphyrins offer a malleable and cost-efficient platform to sculpt bioinspired technologies with tunable charge transfer, energy conversion, and photocatalytic properties. Yet, despite decades of research, the physical mechanisms that determine their
Externí odkaz:
http://arxiv.org/abs/2411.02687
Quantum computing is a rapidly advancing field facing a significant shortage of qualified experts, creating an urgent demand for skilled professionals. In Latin America, quantum education remains in its early stages, further exacerbating the regional
Externí odkaz:
http://arxiv.org/abs/2410.18307
In recent years, the financial sector has faced growing pressure to adopt advanced machine learning models to derive valuable insights while preserving data privacy. However, the highly sensitive nature of financial data presents significant challeng
Externí odkaz:
http://arxiv.org/abs/2410.13753
Autor:
Dominic III, Anthony J., Cipolla, Nicholas L., Pfalzgraff, William C., Jankowski, Jeffrey A., Rapf, Rebecca J., Montoya-Castillo, Andrés
The Fourier Transform (FT) is a fundamental tool that permeates modern science and technology. While chemistry undergraduates encounter the FT as early as second year, their courses often only mention it in passing because computers frequently perfor
Externí odkaz:
http://arxiv.org/abs/2410.09619