Entanglement between a stationary quantum system and a flying qubit is an essential ingredient of a quantum-repeater network. It has been demonstrated for trapped ions, trapped atoms, color centers in diamond, or quantum dots. These systems have transition wavelengths in the blue, red or near-infrared spectral regions, whereas long-range fiber-communication requires wavelengths in the low-loss, low-dispersion telecom regime. A proven tool to interconnect flying qubits at visible/NIR wavelengths to the telecom bands is quantum frequency conversion. Here we use an efficient polarization-preserving frequency converter connecting 854 nm to the telecom O-band at 1310 nm to demonstrate entanglement between a trapped Ca ion and the polarization state of a telecom photon with a high fidelity of 98.2 ± 0.2%. The unique combination of 99.75 ± 0.18% process fidelity in the polarization-state conversion, 26.5% external frequency conversion efficiency and only 11.4 photons/s conversion-induced unconditional background makes the converter a powerful ion-telecom quantum interface.
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http://dx.doi.org/10.1038/s41467-018-04341-2 | DOI Listing |
Light Sci Appl
January 2025
Department of Physics, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.
Graphene has unique properties paving the way for groundbreaking future applications. Its large optical nonlinearity and ease of integration in devices notably makes it an ideal candidate to become a key component for all-optical switching and frequency conversion applications. In the terahertz (THz) region, various approaches have been independently demonstrated to optimize the nonlinear effects in graphene, addressing a critical limitation arising from the atomically thin interaction length.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Background: Memory clinic patients are a heterogeneous population representing various aetiologies of pathological aging. It is unknown if divergent spatiotemporal progression patterns of brain atrophy, as previously described in Alzheimer's disease (AD) patients, are prevalent and clinically meaningful in this group of older adults.
Method: To uncover atrophy subtypes, we applied the Subtype and Stage Inference (SuStaIn) algorithm to structural MRI data from 813 participants (mean ± SD age = 70.
Background: Distinct amyloid structures characterize specific proteinopathies, including tau and α-synuclein based neurodegenerative diseases. However, how protein seed co-occurrence and other pathologic features account for clinicopathological heterogeneity observed within and between proteinopathies is unclear. Here, we quantify α-synuclein and isoform-specific tau seeds across neurodegenerative diseases, including in Lewy body disease (LBD), AD neuropathologic change (ADNC), and 4R tauopathy cases to inform how co-occurring seeds may impact disease presentation and trajectory.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Erasmus University Medical Center, Rotterdam, Zuid-Holland, Netherlands.
Background: Hippocampal volume is an acknowledged biomarker of neurodegenerative disease, including Alzheimer's disease (AD). However, the relationship between other subcortical brain structures and dementia risk is uncertain and may differ by disease stage. We aimed to assess the prognostic value of subcortical volumes for dementia risk across different disease stages by investigating memory clinic-based populations and community-dwelling individuals.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Massachusetts Institute of Technology, Cambridge, MA, USA.
Background: Speech is a predominant mode of human communication. Speech digital recordings are inexpensive to record and contain rich health related information. Deep learning, a key method, excels in detecting intricate patterns, however, it requires substantial training data.
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