Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...
SecurityWeek’s Cyber Insights 2026 examines expert opinions on the expected evolution of more than a dozen areas of cybersecurity interest over the next 12 months. We spoke to hundreds of individual ...
Editorial: Advancing quantum computation: optimizing algorithms and error mitigation in NISQ devices
For the moment, noisy intermediate-scale quantum (named NISQ) device is the best option for quantum computation and this quantum research with tools of optimization ...
Abstract: Under the nearing error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early. Their innovative ...
The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
The exponential growth of network complexity, traffic volume and security demands is challenging the scalability of classical automation frameworks. Artificial intelligence (AI) has improved network ...
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