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Real-time X-ray compression shrinks file size by 8,000 times

3 June 2026 at 14:00
Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach to compressing X-ray imaging data in real time, reducing the size of data files by more than 8,000 times, while at the same time preserving the detailed X-ray intensity information required for quantitative analysis.

Scalable Quantum Photonics with Site-Controlled Quantum Dots

3 June 2026 at 03:42

In a groundbreaking leap forward for quantum technology, researchers have unveiled a new scalable quantum photonic platform that promises to accelerate the practical deployment of quantum computing and secure communication systems. This pioneering development is based on the integration of site-controlled quantum dots meticulously coupled with circular Bragg grating resonators, marking a significant stride towards robust, reliable, and scalable quantum photonic devices.

Quantum dots, often described as artificial atoms, serve as critical building blocks for photonic quantum bits, or qubits, due to their exceptional ability to emit single photons with high purity and indistinguishability. Traditionally, the challenge has been to create a controllable array of these quantum dots that can operate coherently and efficiently within a photonic circuit. The innovation introduced by the research team hinges on precisely controlling the placement of quantum dots on a chip, a method termed site-controlled growth. This breakthrough enables uniformity and scalability previously unattainable in integrated quantum photonics.

Central to the success of this platform is the coupling of each quantum dot to a circular Bragg grating resonator. These resonators function as highly efficient photon extraction and confinement structures that significantly enhance the interaction between photons emitted by the quantum dots and the photonic circuitry. By tailoring the resonator design to achieve high-quality factors and directional emission, the researchers have managed to amplify the brightness of single-photon sources, while simultaneously suppressing decoherence—one of the persistent hurdles in quantum dot technologies.

The fabrication technique detailed in the study employs advanced epitaxial growth processes to position quantum dots at deterministic sites with nanometer accuracy. This precision fabrication is critical, as the photonic resonators’ performance and the resulting quantum efficiency heavily depend on the exact placement of the quantum emitter relative to the resonator’s electromagnetic field maximum. Such site-control alleviates randomness in quantum dot positioning, which historically has led to device variability and hindered device reproducibility.

Beyond fabrication, the team conducted exhaustive optical characterizations that demonstrate the platform’s impressive ability to generate on-demand single photons with strong anti-bunching signatures, indicating the quantum nature of the emission. The coupling to the resonator substantially increases the photon extraction efficiency, overcoming typical photon losses encountered in planar quantum dot architectures. This advancement represents a monumental step towards deterministic single-photon sources required for quantum networks and photonic quantum computing.

Furthermore, these circular Bragg grating resonators not only improve photon emission characteristics but also allow for enhanced Purcell effects, resulting in faster radiative recombination rates and thus enabling higher operation speeds for quantum devices. The enhanced emission rates have direct implications for the quantum information processing speed, allowing quantum circuits to function with lower latency while preserving coherence, which is essential for complex quantum algorithms.

The scalability of this platform cannot be overstated. By integrating site-controlled quantum dots with lithographically defined resonators on a semiconductor chip, this approach lays the foundation for mass-manufactured quantum photonic circuits. Such scalable production methods are vital for transitioning quantum technologies from the research laboratory to commercial applications, including quantum cryptography, sensing, and information processing systems.

Moreover, the integration strategy employed avoids common material incompatibility issues seen in other quantum photonic systems. Utilizing conventional semiconductor materials ensures compatibility with existing photonic integration technologies, allowing seamless incorporation of this quantum dot-resonator platform with on-chip waveguides, detectors, and other photonic components. This cohesive integration underscores the platform’s potential for realizing complex quantum photonic circuits on a single chip.

The research also addresses the critical hurdle of decoherence and photon indistinguishability, which are pivotal parameters for entanglement distribution and quantum network operations. By coupling quantum dots to circular Bragg resonators, the emitted photons exhibit higher coherence times and indistinguishability, which are mandatory qualities for entanglement swapping and quantum teleportation protocols. This feature opens pathways for scalable quantum repeaters and long-distance quantum communication.

On the theoretical front, sophisticated modeling of electromagnetic field distributions and quantum dot-resonator interactions guided the design parameters to maximize photon extraction rates and optimize quality factors. The interplay between theory and experiment in this work exemplifies the delicate balance required in engineering quantum photonic devices, where both nanofabrication and quantum optical phenomena are tightly intertwined.

Importantly, the modularity of the design allows for the implementation of arrays of quantum dot-resonator units, each acting as a coherent photon source, providing a versatile platform adaptable to different scales and quantum architectures. This modular approach enhances system flexibility and paves the way for exploring multi-qubit interactions crucial for scalable quantum computation.

The researchers foresee their scalable quantum photonic platform becoming a cornerstone for future quantum technologies, catalyzing advances in photonic quantum simulators, on-chip quantum networks, and ultimately, large-scale quantum computers. By overcoming the obstacles of quantum dot placement control and efficient photon extraction, this technology breaches previous limitations and opens new horizons for quantum photonics.

In conclusion, the development of a scalable quantum photonic platform based on site-controlled quantum dots coupled to circular Bragg grating resonators signifies a landmark achievement in the quantum technology domain. With its blend of precise quantum dot engineering, enhanced photon emission, and semiconductor compatibility, this platform is poised to revolutionize the way quantum information is generated, manipulated, and harnessed, steering us closer to the quantum age.

Subject of Research: Scalable quantum photonic platform utilizing site-controlled quantum dots coupled to circular Bragg grating resonators for efficient single-photon generation.

Article Title: Scalable quantum photonic platform based on site-controlled quantum dots coupled to circular Bragg grating resonators.

Article References:
Gaur, K., Barua, A., Tripathi, S. et al. Scalable quantum photonic platform based on site-controlled quantum dots coupled to circular Bragg grating resonators. Light Sci Appl 15, 260 (2026). https://doi.org/10.1038/s41377-026-02343-0

Image Credits: AI Generated

DOI: 10.1038/s41377-026-02343-0

NVIDIA Unveils New ARM-Based AI/Graphics Superchip Coming to Windows PCs and Laptops

1 June 2026 at 12:34
"The company best known for powering the AI boom is coming for the PC," reports Axios. Nvidia's CEO unveiled a new ARM-based "N1X processor made alongside Microsoft," reports CNBC, that "will be incorporated into a new RTX Spark superchip, debuting in the fall on a fresh line of Windows PCs from Microsoft, Dell, HP, ASUS, Lenovo and MSI." More details from Engadget: It was only a matter of time before NVIDIA released a powerful system-on-a-chip (SOC) to take on AMD's Ryzen AI Max and Qualcomm's latest Snapdragon X2 chips. At Computex today, NVIDIA unveiled the RTX Spark, a "superchip" meant to give both laptops and small desktops fast AI and graphics performance... The company says it offers 1 petaflop of AI computing power, and that it has 6,144 Blackwell RTX cores and 20 Mediatek Arm CPU cores. NVIDIA claims it's similar to the RTX 5070 laptop GPU but with much lower power draw. RTX Spark also has an NPU that's fast enough to be part of Microsoft's Copilot+ initiative, which requires a 40 TOPS NPU, but NVIDIA says it's mainly touting the tensor cores as part of the chip's Blackwell GPU for AI performance. RTX Spark's GPU can directly draw on the chip's large pool of unified memory, which can span from 16GB to 128GB, and the chip itself can use anywhere from single-digit wattage up to 80W... NVIDIA CEO Jensen Huang positions RTX Spark as a complete reinvention of the PC, eventually turning them more into devices meant for AI agents than manual human input... NVIDIA has been working together with Microsoft for "several years" while designing the RTX Spark, according to NVIDIA representatives... In a blog post provided to media, Microsoft head of Windows and devices, Pavan Davuluri, noted that the company optimized Windows 11's workload profile scheduling for the RTX Spark. "Whether you're checking your email or running an agent locally to debug code, the Windows scheduler on RTX Spark will ensure you get the best performance and efficiency out of your CPU," he wrote.

Read more of this story at Slashdot.

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