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10 quantum computing milestones of 2024

Network World

Quantinuum provided the quantum hardware and Microsoft handled the error correction. Microsoft and Atom Computings announce 24 working logical qubits Then, since 12 logical qubits werent enough, in November Microsoft followed up with a joint announcement with a different quantum hardware company, Atom Computing. One reason?

IBM 398
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Fujitsu, Osaka University develop quantum circuit generator to hasten pace to commercialization

Network World

The hardware company and the Japanese university’s Center for Quantum Information and Quantum Biology have co-developed a quantum circuit generator that features two new technologies: one that improves phase angle accuracy during phase rotation, and another that automatically generates efficient qubit operation procedures.

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Data center certifications target newcomers, experts, and sustainability pros

Network World

On the infrastructure side, things are changing quickly as well, driven by the explosion of enterprise interest in artificial intelligence and increasing cybersecurity concerns. According to a report from Goldman Sachs , global data center power demand will grow 160% by 2030.

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The case for predictive AI

CIO Business Intelligence

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Yes, GenAI and Predictive AI are both forms of artificial intelligence, but they have fundamental key differences that businesses must consider. Artificial Intelligence, Machine Learning

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IBM, Microsoft and Boeing mark advances in quantum computing

Network World

Quantum computing breakthroughs For most of quantum computing’s history, virtually all the research has focused on developing the underlying hardware, says Jay Gambetta, vice president in charge of IBM’s quantum initiative. Quantinuum provided the quantum hardware and Microsoft handled the error correction.

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5 top business use cases for AI agents

CIO Business Intelligence

In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprise systems by 2030. There are millions of lines of code in these systems, which are written in COBOL, MUMPS, or even Assembly language tied to original hardware. And thats just the beginning.

CTO Hire 359
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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

billion by 2030. and artificial intelligence (AI) and machine learning (ML) technologies. . To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. A Competitive Differentiator. Just starting out with analytics?

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