Silicon– tag –
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IMEC, ASML, TSMC Scale 2D Material Transistors to 300mm Wafers, Achieving 50nm Contact Poly Pitch for Fab Integration
IMEC ベルギー Overview IMEC, in partnership with ASML and TSMC, has unveiled a robust, scalable 300mm integrated process for n-type and p-type field-effect transistors utilizing 2D materials. Presented at the 2026 IEEE/JSAP VLSI Technolo... -
Silicon Spin Quantum Computing Vendor Guide Released: Emphasizing CMOS Compatibility and 1 Kelvin Operation Advantages for Mass Production
Quantum Zeitgeist USA Overview A new vendor guide for leading silicon spin quantum computing companies highlights this modality's deep path to manufacturing scale. While silicon spin qubits currently lag in qubit count and gate fidelity ... -
Origin of Noise in Silicon Spin Qubit Processors Identified: High-Frequency Charge Noise Found to Degrade Gate Fidelity
EurekAlert! USA Overview Researchers have successfully identified the origin of noise in silicon spin qubit processors. Combining theoretical modeling and large-scale statistical simulations, they demonstrated that high-frequency charge ... -
Solidion Technology Granted 7 New U.S. Patents for Composite Anode Materials Targeting Humanoid Robots, Space-Based AI Data Centers, and the Lunar Economy
PR Newswire USA Overview Solidion Technology Inc. announced it has been granted seven new U.S. patents for composite anode materials, bringing its total U.S. anode technology portfolio to 130 patents. These patents target batteries for h... -
Machine Learning Unveils Hidden Nanophotonic Resonances in Silicon-Gold Nanopillars, Accelerating Complex Material Analysis
npj Computational Materials Global Overview Machine learning (ML) has revealed previously undetectable hidden nanophotonic resonances in silicon-gold nanopillars. A new ML workflow decodes low-loss EELS data, transforming noisy nanoscale... -
London Researchers Dramatically Reduce Qubit Count for Crystalline Material Simulations on Quantum Computers
Quantum Zeitgeist UK Overview Researchers at the London Centre for Nanotechnology (LCN) have developed a 'periodic symmetry-adapted encoding' framework, significantly reducing the number of qubits required for electronic structure simula... -
China’s Prinano Achieves Mass Production of 8-inch Photonic Chips with Proprietary Nanoimprint Tech, Bypassing ASML Equipment, Reducing Cost by 10x, and Achieving Sub-10nm Resolution to Circumvent Export Controls
South China Morning Post China Overview Chinese startup Prinano announced successful mass production of photonic chips on 8-inch silicon wafers using its proprietary PL-AS vacuum air-cushion nanoimprint lithography (NIL) equipment, elimi... -
Quandela Advances Photonic Quantum Machine Learning (QML) with Silicon Photonics, Demonstrating Quantum Reservoir Processing on Programmable Chips
Quandela France Overview Quandela has advanced photonic quantum machine learning (QML) using silicon photonics, demonstrating a quantum reservoir computing device on a programmable chip. This research, in collaboration with the QUONDENSA... -
France’s Quobly Secures €115 Million ($133.5M) in Series A Funding to Accelerate Industrialization of Silicon Spin Quantum Processors for 2026 Commercial Launch
Founder Lodge France Overview French quantum computing startup Quobly has raised €115 million (approximately $133.5 million) in a Series A funding round led by Bpifrance, STMicroelectronics, and SEALSQ. This substantial investment aims t... -
ETH Zurich Researchers Develop Phononic Metamaterial Guiding Vibrations Along Predefined Paths, Enabling Mechanical Computing and Self-Powered Sensors
ETH Zurich Switzerland Overview Researchers at ETH Zurich have developed a novel phononic metamaterial, fabricated on wafer-thin silicon membranes, capable of precisely controlling mechanical waves such as vibrations or acoustic signals....
