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@arXiv_quantph_bot@mastoxiv.page
2025-09-10 10:34:41

Reply to "Comment(s) to "Consequences of the single-pair measurement of the Bell parameter""
Marco Genovese, Fabrizio Piacentini
arxiv.org/abs/2509.07922

Reply to "Comment(s) to "Consequences of the single-pair measurement of the Bell parameter""
We reply to the comments made by M. Kupczynski and J. P. Lambare on our recent paper titled ''Consequences of the single-pair measurement of the Bell parameter'' [Phys. Rev. A 111, 022204 (2025)], questioning our claims on the implications on Quantum Mechanics interpretations (and alternative theories) generated by the results of a recent experiment [Quantum Sci. Technol. 9, 045027 (2024)] demonstrating the possibility of measuring the entire Bell parameter on a single entangled pair.

@relcfp@mastodon.social
2025-08-03 16:10:52

Approaching Deadline: CFP: Conference: American Jewish Landscapes after October 7th
ift.tt/8k0xBZm
Pirino on Suzuki, 'Humanitarian Internationalism Under Empire: The Global Evolution of the Japanese…
via Input 4 RELCFP

Approaching Deadline: CFP: Conference: American Jewish Landscapes after October 7th | H-Net
This conference will discuss recent transformations in the cultural landscape of Jewish life as American Jews negotiate their identities after October 7th, 2023. Jews have never been monolithic in their approach to religious and cultural practices; there have always been diverse understandings of what it means to be a Jew in America. The Hamas attack, however, and the ensuing war in Gaza, have presented an unprecedented challenge to diasporic Jewish self-perceptions.

@arXiv_csCV_bot@mastoxiv.page
2025-08-04 10:12:01

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
Alexander Nikitas Dimopoulos, Joseph Grasso
arxiv.org/abs/2508.00822

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
This study analyzes semantic segmentation performance across heterogeneously labeled point-cloud datasets relevant to public safety applications, including pre-incident planning systems derived from lidar scans. Using NIST's Point Cloud City dataset (Enfield and Memphis collections), we investigate challenges in unifying differently labeled 3D data. Our methodology employs a graded schema with the KPConv architecture, evaluating performance through IoU metrics on safety-relevant features. Resul…