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Quantum error correction is an essential tool for reliably performing tasks for processing quantum information on a large scale. However, integration into quantum circuits to achieve these tasks is problematic when one realizes that nontransverse operations, which are essential for universal quantum computation, lead to the spread of errors. Quantum gate teleportation has been proposed as an elegant solution for this. Here, one replaces these fragile, nontransverse inline gates with the generation of specific, highly entangled offline resource states that can be teleported into the circuit to implement the nontransverse gate. As the first important step, we create a maximally entangled state between a physical and an error-correctable logical qubit and use it as a teleportation resource. We then demonstrate the teleportation of quantum information encoded on the physical qubit into the error-corrected logical qubit with fidelities up to 0.786. Our scheme can be designed to be fully fault tolerant so that it can be used in future large-scale quantum technologies.
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http://dx.doi.org/10.1073/pnas.2026250118 | DOI Listing |
J Clin Exp Hepatol
August 2025
Dept of Histopathology, PGIMER, Chandigarh, 160012, India.
Artificial intelligence (AI) is a technique or tool to simulate or emulate human "intelligence." Precision medicine or precision histology refers to the subpopulation-tailored diagnosis, therapeutics, and management of diseases with its sociocultural, behavioral, genomic, transcriptomic, and pharmaco-omic implications. The modern decade experiences a quantum leap in AI-based models in various aspects of daily routines including practice of precision medicine and histology.
View Article and Find Full Text PDFFront Comput Neurosci
August 2025
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.
Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.
View Article and Find Full Text PDFRSC Adv
September 2025
Department of Physics, University of Hull Cottingham Road UK
[This corrects the article DOI: 10.1039/D5RA04583E.].
View Article and Find Full Text PDFRSC Adv
September 2025
Instituto de Ciencia de Materiales de Madrid, ICMM-CSIC C/Sor Juana Inés de la Cruz, 3 Madrid 28049 Spain
Perovskite light-emitting diodes (PeLEDs) have emerged as a promising technology for next-generation display and lighting applications, thanks to their remarkable colour purity, tunability, and ease of fabrication. In this work, we explore the incorporation of plasmonic spherical nanoparticles (NPs) directly embedded into the green-emitting CsPbBr perovskite layer in a PeLED as a strategy to enhance both its optical and electrical properties. We find that plasmonic effects directly boost spontaneous emission while also influencing charge carrier recombination dynamics.
View Article and Find Full Text PDFJ Phys Chem C Nanomater Interfaces
October 2024
Department of Chemistry and Biochemistry, Nanoscale & Quantum Phenomena Institute, Ohio University, Athens, Ohio 45701, United States.
Carbon-based quantum dots (CQDs) have been around for a few decades. Low cell toxicity, good water solubility, excellent and tunable fluorescence properties, and the ability to dope and modify the surface of these CQDs make them an incredible choice for the visualization and treatment of various cancers. This perspective analyzes some recent progress on size-color correlation, modification, and cancer treatment applications of CQDs.
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