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Reconfigurable Ge-Si photodetector achieves ultrahigh-speed data transmission using low-loss packaging

The rapid growth of large language models is placing increasing demands on data centers, where large volumes of data must be transferred efficiently between servers. Optical interconnects are essential for enabling this communication, but as data rates continue to rise, these systems must deliver higher bandwidth while maintaining low latency and energy efficiency. However, integrating electronic and photonic components remains challenging, as conventional approaches often introduce signal loss, limit interconnect density, and restrict scalability.

As reported in Advanced Photonics Nexus, Dr. Wei Chu and colleagues have developed a reconfigurable germanium–silicon photodetector using a low-loss integration strategy based on fan-out wafer-level packaging (FOWLP). This approach enables seamless integration of electronic integrated circuits and photonic integrated circuits on a single platform without the need for traditional wire bonding, reducing parasitic loss and improving signal integrity.

The system uses a dense network of fine metal interconnects, known as a redistribution layer (RDL), to connect components with high precision. This structure supports high interconnect density—exceeding 102 connections per square millimeter—while maintaining a low insertion loss of less than 0.3 dB/mm at 100 GHz. In addition, the use of benzocyclobutene as a low-dielectric insulating material reduces transmission loss and improves thermal stability for reliable high-frequency operation.

Prototype sets record for optical quantum information technology

Chinese scientists have developed a programmable quantum computing prototype called Jiuzhang 4.0 that has set a new world record for optical quantum information technology, according to a study published May 13 in the journal Nature.

Led by the University of Science and Technology of China (USTC), the team used the prototype to solve the Gaussian boson sampling problem at a speed more than 1054 times that of the world’s most powerful supercomputer, the study said.

The researchers said they manipulated and detected quantum states of up to 3,050 photons —a significant leap from the 255 photons achieved with the previous Jiuzhang 3.0.

The structure of water: Entropy determines whether ions stick

Water molecules do not simply swirl around in complete disorder; they can form certain preferred structures. This scientific fact is often presented in entirely unscientific ways. For example, when people speak of an alleged “memory of water” or of “water clusters” as a possible explanation for homeopathy, among other things.

All of this has been refuted. But even though water is not a magical information storage medium, its ability to form short-lived structures can have important consequences. This has now been shown in a study by TU Wien, in collaboration with the University of Vienna and the University of Oslo, as part of the Cluster of Excellence “MECS.” The team investigated how easily charged particles can be held at a surface—a question that is important in many areas, such as research on batteries, fuel cells, and biological membranes. The new results show that this can only be understood if one takes into account the structures that water forms on nanosecond timescales.

The research is published in the journal Science Advances.

How wasted infrared light could boost solar panels, night vision and 3D printing

Researchers at UNSW Sydney have developed a nanoscale device that converts low-energy infrared and red light into higher-energy visible light, a breakthrough that could eventually improve solar panels, sensing technologies, and advanced manufacturing systems.

Published in Nature Photonics, the research addresses a longstanding problem in photonics: how to stop energy from being lost before it can be used.

That mechanism allowed the device to achieve photon conversion efficiencies of 8.2%, among the strongest reported for this type of architecture.

Bilayer antiferromagnet reveals photocurrent that flips with magnetic state

In recent years, atomically thin materials—crystals only a few atoms thick—have attracted growing attention because they can exhibit physical properties that do not appear in conventional bulk materials. Among them, atomically thin magnetic materials are particularly intriguing, as they can host unconventional magnetic states and offer new possibilities for spin-based electronic technologies.

In a Nature Materials study, researchers investigated the photocurrent response of a bilayer atomically thin antiferromagnet. In this material, spins are aligned within each atomic layer, while the spin orientations of the top and bottom layers are opposite. Depending on the relative spin configuration between the two layers, the system exhibits two distinct antiferromagnetic (AFM) states.

To explore how these magnetic states interact with light, the researchers fabricated devices by attaching electrodes to bilayer samples and illuminated the center of the material, away from the electrodes. They measured both the zero-bias photocurrent and current-voltage characteristics under illumination.

AI shapes the design of the electron-ion collider

Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion Collider (EIC), a next-generation nuclear physics research facility that will collide electrons with protons or nuclei to probe matter’s structure.

The EIC—being built at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory in partnership with DOE’s Thomas Jefferson National Accelerator Facility (Jefferson Lab)—will reveal the inner structure of matter in unprecedented detail. It is the world’s first collider designed with AI and machine learning integrated into both its accelerator and detector systems.

“EIC is a new facility that can take advantage of AI and machine learning from the start,” said Tanja Horn, a professor of physics at The Catholic University of America, and co-chair of AI4EIC, a working group devoted to developing AI for the EIC. “A wide array of AI tools is now available—perfectly timed for the EIC.”

Roadmap charts three paths to room-temperature quantum materials for cooler computing

Imagine a laptop that never gets hot, a phone that holds its charge for days, or a computer memory chip designed to permanently retain data, even when the power goes out. This is the possibility sitting inside a remarkable family of materials that a team of researchers from the University of Ottawa and the Massachusetts Institute of Technology (MIT) has spent years trying to understand, and they just published a comprehensive roadmap of the field to date in the journal Newton.

Magnetic topological materials sit at the crossroads of magnetism and topology in modern physics. Topology is the mathematical study of shapes that cannot be continuously deformed into one another. In these materials, that idea protects the flow of electrons in a way that normal materials simply cannot.

“Magnetic topological materials offer a unique platform where magnetism and quantum physics work together in ways we are only beginning to fully understand,” explains Hang Chi, Canada Research Chair in Quantum Electronic Devices and Circuits and Assistant Professor at uOttawa’s Department of Physics. “This review brings together the field’s most significant advances and gives researchers a shared foundation to build on.”

NASA’s Roman Space Telescope Could Finally Find the Milky Way’s Missing Neutron Stars

NASA’s Roman Telescope could finally expose the Milky Way’s hidden population of invisible neutron stars. Astronomers believe neutron stars should be scattered throughout the Milky Way, left behind after massive stars explode in supernova blasts. But despite their expected abundance, most of thes

New Brain “Bypass” Technology Could Transform Treatment for Neurological Disorders

A new technology called LinCx allows scientists to create custom electrical connections between neurons with high precision. Researchers say it may help treat disorders caused by damaged brain circuits. Damage to brain circuits plays a major role in many neurological disorders. Researchers at Duk

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