The framework is designed to expand access to advanced quantum research capabilities by lowering barriers for scientists and engineers.
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RICHLAND, Wash.-Open-source graphics processing unit (GPU) acceleration is coming to quantum-classical computing through a framework being developed ...
Architecting a direct, high-speed bridge between NVIDIA accelerated computing and full-stack quantum systems to enable hybrid feedback loops within a few microseconds DELFT, Netherlands and BOSTON, ...
New product capabilities deliver leading performance, capacity, and industry-first hardware-assisted test-automation ...
German start-up Ubitium reports tape-out of a CGRA processor, which should be suitable for general-purpose computing as well as for AI and signal processing.
As the largest foreign exhibitor at Embedded World 2026 in Nuremberg from March 10 to 12, Taiwan will present a broad range ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
A new technical paper “AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has developed a surface code quantum simulator based on FPGA. This innovative technology marks a new ...
Abstract: Inverse design is an emerging theory in material, photonics, and other fields. The Adjoint Method (AM) is an efficient gradient-based optimization strategy commonly used in inverse design.