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Quantifying Classical and Quantum Bounds Enables Super-Resolution Imaging of Closely Spaced Dipole Sources
By carefully filtering light collected from closely spaced light sources, researchers demonstrate a way to overcome limitations in super-resolution microscopy and accurately determine the distance between them, even when they are very close together.
Study Links Genetic Variants to Specific Disease Phenotypes
This study investigates the connection between genetic variants and specific disease phenotypes, aiming to improve predictions regarding variant effects. Researchers are expanding the utility of these predictions by developing models tailored to individual phenotypes.
Integrated Scheme Generates Purified Entangled Coherent States, Exceeding 2/3 Fidelity for non-Gaussian Teleportation
Researchers have created a chip-based method to generate and purify entangled light states, enabling highly accurate teleportation of complex quantum information, such as Schrödinger cat states, exceeding the capabilities of traditional approaches and paving the way for advanced quantum communication networks.
Computing Electronic Gain for Detectors Read Out Up-The-Ramp: a Consistent and Nearly Unbiased Estimator
Astronomers now precisely calculate the conversion between light and digital signals in telescope images by employing a statistical method that accounts for detector characteristics and explains variations in image quality, ultimately improving the accuracy of measurements from forthcoming surveys like those planned for the Roman Space Telescope.
Scalable Optical Links Enable Control of Bosonic Quantum Processors with up to Ten Photons
Scientists have successfully demonstrated remote control of a complex quantum processor over a 15km fibre optic link, achieving over 95% accuracy and paving the way for scalable, distributed quantum computing networks.
Chopper Characterizes LLaMA-3-8B Training, Revealing Multi-Level GPU Inefficiencies
Researchers have developed a detailed profiling tool, Chopper, which reveals that frequency fluctuations, rather than computational limitations, represent the biggest obstacle to achieving peak performance when training large language models on advanced AMD Instinct MI300X GPUs.
Dipolar Fermi Gas Exhibits Liquid-Gas Phase Transition under Quasi-One-Dimensional Confinement
Researchers demonstrate that a confined gas of interacting particles exhibits a transition between distinct states, gas, liquid, and a unique coexistence phase, mirroring behaviour observed in the cores of atomic nuclei.
Fiber-based Quantum Key Distribution Achieves 300GHz Bandwidth with 680nm and 1550nm Entangled Photons
Researchers have created a new source of entangled photons that simultaneously operates at wavelengths ideal for both highly efficient silicon detectors and low-loss fibre optic transmission, paving the way for more practical and long-distance quantum communication networks.
Atomic Biphotons Demonstrate OAM-to-Polarization Mapping with 99% Fidelity and Clauser-Horne-Shimony-Holt Parameter of 2.7
Scientists successfully transfer entanglement from the orbital angular momentum of light to its polarization using a cold-atom system, achieving high-fidelity generation of entangled photon pairs and paving the way for compatibility with existing polarization-based quantum networks.
NetQMPi Enables Distributed Quantum Applications over Networks by Abstracting Low-Level Resource Management
NetQMPI simplifies the development of distributed quantum computations by providing a high-level programming interface that automatically manages network resources and reduces code complexity, enabling scalable quantum algorithms to run on both simulators and future quantum hardware.
Enhancing Continuous-variable Quantum-key-distribution with Error-correcting Relays Surpasses Repeaterless Bound
Researchers demonstrate a new quantum communication technique that combines noise reduction and signal amplification to achieve secure data transmission over distances previously thought impossible without quantum repeaters.
Quantum Kernels with Multimode Bulk Acoustic Resonators Demonstrate Enhanced Computational Efficiency
Researchers demonstrate a new computational technique, leveraging the nonlinear properties of light in tiny devices, that creates a powerful kernel capable of solving complex problems but quickly becomes too difficult for even the most powerful conventional computers as the system grows.