Hybrid matter-photon entanglement is the building block for quantum networks. It is very favorable if the entanglement can be prepared with a high probability. In this Letter, we report the deterministic creation of entanglement between an atomic ensemble and a single photon by harnessing the Rydberg blockade. We design a scheme that creates entanglement between a single photon's temporal modes and the Rydberg levels that host a collective excitation, using a process of cyclical retrieving and patching. The hybrid entanglement is tested via retrieving the atomic excitation as a second photon and performing correlation measurements, which suggest an entanglement fidelity of 87.8%. Our source of matter-photon entanglement will enable the entangling of remote quantum memories with much higher efficiency.
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http://dx.doi.org/10.1103/PhysRevLett.128.060502 | DOI Listing |
Sci Rep
December 2024
Departamento de Física, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911, Leganés, Spain.
Considering a universal deep neural network organized as a series of nested qubit rotations, accomplished by adjustable data re-uploads we analyze its expressivity. This ability to approximate continuous functions in regression tasks is quantified making use of a partial Fourier decomposition of the generated output and systematically benchmarked with the aid of a teacher-student scheme. While the maximal expressive power increases with the depth of the network and the number of qubits, it is fundamentally bounded by the data encoding mechanism.
View Article and Find Full Text PDFnpj Quantum Inf
December 2024
Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
We propose a fault-tolerant scheme for generating long-range entanglement at the ends of a rectangular array of qubits of length with a square cross-section of qubits. It is realized by a constant-depth circuit producing a constant-fidelity Bell-pair (independent of ) for local stochastic noise of strength below an experimentally realistic threshold. The scheme can be viewed as a quantum bus in a quantum computing architecture where qubits are arranged on a rectangular 3D grid, and all operations are between neighboring qubits.
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December 2024
Department of Medical Sciences, University of Torino, Torino, Italy.
Classification and regression problems can be challenging when the relevant input features are diluted in noisy datasets, in particular when the sample size is limited. Traditional Feature Selection (FS) methods address this issue by relying on some assumptions such as the linear or additive relationship between features. Recently, a proliferation of Deep Learning (DL) models has emerged to tackle both FS and prediction at the same time, allowing non-linear modeling of the selected features.
View Article and Find Full Text PDFJ Med Case Rep
December 2024
Department of Hand & Reconstructive Microsurgery Surgery, Rashid Hospital, Dubai, United Arab Emirates.
Background: Open and crushed forearm injury is a complex and rare injury affecting the upper extremity. It results in damage to various structures, including bones, soft tissues, and neurovascular bundles, ultimately leading to functional impairment. Typically, these injuries occur owing to high-energy trauma.
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December 2024
Computer Engineering Department, Umm Al-Qura University, Mecca, 24381, Saudi Arabia.
Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes.
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