IT and networking giant claims first of its kind network-aware distributed quantum compiler capable of running quantum algorithms across multiple processors while handling error correction across the ...
Andrew Childs is a professor in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS) at the University of Maryland, College Park. He serves as interim director ...
IBM and HSBC used a quantum system to improve a complex process.
The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, particularly in the context of localization and optimization problems. Their work ...
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Scientists unveil world's first quantum computer built with regular silicon chips
A London-based startup has created the world's first full-stack quantum computer using a standard silicon CMOS chip fabrication process ...
Cisco on Thursday announced a new software tool aimed at weaving together quantum computers from various makers into a single cloud, making it easier to develop useful applications.
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New quantum error correction code could handle millions of qubits efficiently
Japanese scientists develop scalable quantum LDPC error correction codes approaching the theoretical hashing bound.
A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance approaching the theoretical hashing bound, has been developed by scientists ...
NVIDIA, the AI boom's $4 trillion chipmaker, is now betting on quantum computing—despite doubts about how soon the technology will pay off.
Getting started in computer science can feel like trying to learn a new language, but don’t worry, it’s totally doable. Think of this section as your friendly guide to the absolute must-knows. We’re ...
Researchers kept more than 6,000 qubits coherent while operating with 99.98% accuracy. Here's why that matters for quantum computing.
The London-based bank said it used a combination of classical computing and quantum computing to deliver a 34% improvement in algorithmic bond trade predictions.
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