Quantum self-testing is a device-independent way to certify quantum states and measurements using only the input-output statistics, with minimal assumptions about the quantum devices. Because of the high demand on tolerable noise, however, experimental self-testing was limited to two-photon systems. Here, we demonstrate the first robust self-testing for multiphoton genuinely entangled quantum states. We prepare two examples of four-photon graph states, the Greenberger-Horne-Zeilinger states with a fidelity of 0.957(2) and the linear cluster states with a fidelity of 0.945(2). Based on the observed input-output statistics, we certify the genuine four-photon entanglement and further estimate their qualities with respect to realistic noise in a device-independent manner.
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http://dx.doi.org/10.1103/PhysRevLett.127.230503 | DOI Listing |
Proc IEEE Int Symp Biomed Imaging
May 2024
Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA.
In medical image segmentation, although multi-modality training is possible, clinical translation is challenged by the limited availability of all image types for a given patient. Different from typical segmentation models, modality-agnostic (MAG) learning trains a single model based on all available modalities but remains input-agnostic, allowing a single model to produce accurate segmentation given any modality combinations. In this paper, we propose a novel frame-work, MAG learning through Multi-modality Self-distillation (MAG-MS), for medical image segmentation.
View Article and Find Full Text PDFInt J Behav Nutr Phys Act
December 2024
Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, 2115 Wisconsin Avenue NW Suite 300, Washington, D.C, 20007, USA.
Background: Continuous glucose monitoring (CGM) holds potential as a precision public health intervention, offering personalised insights into how diet and physical activity affect glucose levels. Nevertheless, the efficacy of using CGM in populations with and without diabetes to support behaviour change and behaviour-driven outcomes remains unclear. This systematic review and meta-analysis examines whether using CGM-based feedback to support behaviour change affects glycaemic, anthropometric, and behavioural outcomes in adults with and without diabetes.
View Article and Find Full Text PDFAppetite
December 2024
Faculty of Business Education, Law and Arts, University of Southern Queensland, Springfield, Queensland, 4300, Australia. Electronic address:
The interplay between egoistic and altruistic values, self-identity, and ethical behaviors remains underexplored, despite its significance in ethical consumption. This study investigates these dynamics by developing and testing the Value-Identity-Behavior model using a robust dataset of 3023 participants from three leading fairtrade markets in Europe: the U.K.
View Article and Find Full Text PDFBiometrics
October 2024
Department of Statistics, The Pennsylvania State University, University Park, PA 16802, United States.
Estimating new HIV infections is significant yet challenging due to the difficulty in distinguishing between recent and long-term infections. We demonstrate that HIV recency status (recent versus long-term) could be determined from self-report testing history and biomarkers, which are increasingly available in bio-behavioral surveys. HIV recency status is partially observed, given the self-report testing history.
View Article and Find Full Text PDFThe ClimateMind50+ questionnaire is a tailored instrument to assess the knowledge, concerns, preparedness, behaviours, and involvement of individuals aged 50 and above. Older adults are particularly vulnerable to climate-related hazards such as extreme heat, flooding, and severe storms, yet their perspectives and contributions to climate resilience remain underrepresented in research. The systematic development of the ClimateMind50+ involved rigorous cognitive testing with diverse participants, ensuring clarity, accessibility, and relevance.
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