A number of techniques exist to use an ensemble of atoms as a quantum memory for light. Many of these propose to use backward retrieval as a way to improve the storage and recall efficiency. We report on a demonstration of an off-resonant Raman memory that uses backward retrieval to achieve an efficiency of 65 ± 6% at a storage time of one pulse duration. The memory has a characteristic decay time of 60 μs, corresponding to a delay-bandwidth product of 160.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OE.26.012424 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A robust Parkinson's disease detection model based on time-varying synaptic efficacy function in spiking neural network.
BMC Neurol
December 2024
Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA.
Parkinson's disease (PD) is a neurodegenerative disease affecting millions of people around the world. Conventional PD detection algorithms are generally based on first and second-generation artificial neural network (ANN) models which consume high energy and have complex architecture. Considering these limitations, a time-varying synaptic efficacy function based leaky-integrate and fire neuron model, called SEFRON is used for the detection of PD.
View Article and Find Full Text PDFSolid-state synthesis of SiGe nanoalloys with composition-tunable energy gaps and visible to near infrared optical properties.
Nanoscale
December 2024
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284-2006, USA.
SiGe alloy nanocrystals (NCs) are a class of benign semiconductors that show size and composition-tunable energy gaps and promising optical properties because of the lattice disorder. The random distribution of elements within the alloys can lead to efficient light-matter interactions, making them attractive for Si-compatible optoelectronic devices, transistors, charge storage, and memory applications. However, the fabrication of discrete, quantum-confined alloys has proved a challenging task.
View Article and Find Full Text PDFNeural networks simulating short-term memory of two inputs with varying commonality.
bioRxiv
November 2024
Department of Neurobiology and Biophysics, University of Washington, Seattle, WA 98195.
The activity and connectivity of neurons in the primate brain underlying behavior cannot yet be completely specified, but neural networks provide complete models of the connectivity and activity that performs specific tasks and provide insight into the neural computations performed by the primate brain (Fetz and Shupe 2003). Studies of neurons in the monkey cortex have shown that short-term memory of sensory events may be mediated by sustained neural activity. Short-term memory tasks have been modeled with dynamic neural networks using a single continuous variable and a gate input to create a sample-and-hold (SAH) function (Zipser 1991; Maier 2003).
View Article and Find Full Text PDFThermal Characterization of Ferroelectric AlBN for Nonvolatile Memory.
ACS Appl Mater Interfaces
December 2024
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Boron (B)-substituted wurtzite AlN (AlBN) is a recently discovered wurtzite ferroelectric material that offers several advantages over ferroelectric HfZrO and PbZrTiO. Such benefits include a relatively low growth temperature as well as a thermally stable, and thickness-stable ferroelectric polarization; these factors are promising for the development of ferroelectric nonvolatile random-access memory (FeRAM) that are CMOS-compatible, scalable, and reliable for storing data in harsh environments. However, wurtzite ferroelectric materials may undergo exacerbated self-heating upon polarization switching relative to other ferroelectric materials; the larger energy loss is anticipated due to the higher coercive field and remanent polarization.
View Article and Find Full Text PDFA Near-Infrared II Photo-Triggered Multifunctional Plasmonic Hyperthermia Immunomodulator for SERS-Guided Combination Cancer Immunotherapy.
Small
November 2024
School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China.
Immunotherapy represents a promising therapeutic strategy for cancer treatment, but its clinical applications are currently hindered by insufficient therapeutic potency, nonspecific delivery, and adverse side effects. Herein, a novel near-infrared II (NIR-II) photo-triggered plasmonic hyperthermia immunomodulator (RP@IR-pcNS@HA nanoparticles (NPs)) for anticancer treatment of both primary and distant cancers is reported. This immunomodulator comprises an IR-1061 dye-encoded NIR-II porous cubic AuAg nanoshell (pcNS) loaded with a Toll-like receptor 7 agonist - R837 in phase change materials (PCMs), further modified with hyaluronic acid (HA).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!