We propose and demonstrate the scaling up of photonic graph states through path qubit fusion. Two path qubits from separate two-photon four-qubit states are fused to generate a two-dimensional seven-qubit graph state composed of polarization and path qubits. Genuine seven-qubit entanglement is verified by evaluating the witness operator. Six qubits from the graph state are used to demonstrate the Deutsch-Jozsa algorithm for general two-bit functions with a success probability greater than 90%.
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http://dx.doi.org/10.1364/OE.20.006915 | DOI Listing |
Neural Netw
December 2024
School of Computer Science, Wuhan University, Luojiashan Road, Wuchang District., Wuhan, 430072, Hubei Province, China; Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, No. 8, Yangqiaohu Avenue, Zanglong Island Development Zone, Jiangxia District, Wuhan, 2007, Hubei Province, China. Electronic address:
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.
View Article and Find Full Text PDFNeural Netw
December 2024
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China.
Session-based recommendation aims to recommend the next item based on short-term interactions. Traditional session-based recommendation methods assume that all interacted items are closely related to the user's interests. However, noise (e.
View Article and Find Full Text PDFJ Mol Graph Model
December 2024
Post Graduate Department of Chemistry, Mehr Chand Mahajan DAV College for Women, Chandigarh, 160036, India.
A large population in the world lives in tropical and subtropical regions, showing a high risk of Zika viral infection which leads to a situation of global health emergency and demands extensive research to create effective antiviral medicines. Herein, we introduce the design of a new derivatized trans-stilbene molecule to investigate the inhibition of Zika virus entry into the host cell by molecular docking approach. The synthesized compound has been characterized by different analytical techniques such as FTIR, H NMR,C NMR and UV-visible spectroscopy as well as Mass spectrometry (MS).
View Article and Find Full Text PDFSci Rep
December 2024
Environmental Health Science and Research Bureau, Health Canada, Vancouver, BC, Canada, Ottawa, ON, Canada.
Few studies have examined the association between air pollution and the trajectory of global health status measures related to the functional impacts of chronic disease. To address this gap, we examined the trajectory of the Health Utilities Index (HUI) over 17 years of follow-up among Canadian National Population Health Survey (NPHS) participants. Annual average nitrogen dioxide (NO) exposures from a national land use regression surface were mapped to 15,631 NPHS participants at their place of residence provided at each follow-up.
View Article and Find Full Text PDFNeuroscience
December 2024
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China.
The diagnosis and analysis of major depressive disorder (MDD) faces some intractable challenges such as dataset limitations and clinical variability. Resting-state functional magnetic resonance imaging (Rs-fMRI) can reflect the fluctuation data of brain activity in a resting state, which can find the interrelationships, functional connections, and network characteristics among brain regions of the patients. In this paper, a brain functional connectivity matrix is constructed using Pearson correlation based on the characteristics of multi-site Rs-fMRI data and brain atlas, and an adaptive propagation operator graph convolutional network (APO-GCN) model is designed.
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