Cyrus F. Hirjibehedin is in the Quantum Information and Integrated Nanosystems group, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02421, USA. Although computers ...
This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...
A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinformatics, University of ...
Introduction to electronic components and circuit building Guides for beginners and advanced users Projects involving the new AI Kit, camera & vision, and private cloud server Step-by-step ...
THE candle. It is a simple technology, and a good one. The electronic version is also simple to make, and is a great introduction to the concept of circuits – the cornerstone of many maker projects ...
Scientists have built DNA-based nanocircuits that reset with heat, enabling reusable molecular systems for tasks like cargo sorting and pattern recognition. (Nanowerk News) Though it might seem like ...
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