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Quantum computing is gaining unprecedented attention, rivaling the hype surrounding generative AI before ChatGPT's launch. The year 2025 is seen as pivotal for both agentic AI and quantum computing, with contrasting views on their potential. While some experts express skepticism about quantum computing's profitability, others argue it is already commercially viable for specific applications.
The tension between traditional AI and quantum AI is palpable, with NVIDIA's CEO suggesting a 20-year wait for useful quantum computing. However, companies like D-Wave Quantum and NVIDIA are actively pushing the boundaries of quantum technology, indicating that breakthroughs may come sooner than expected. Recent advancements, such as IBM's 1,121-qubit processor and Google's Willow chip, highlight the rapid evolution of quantum hardware, suggesting a possible singularity in quantum computing.
• Quantum computing is drawing more attention than generative AI did pre-ChatGPT.
• NVIDIA's CEO predicts useful quantum computing is still 20 years away.
• IBM's 1,121-qubit processor marks significant progress in quantum systems.
Quantum computing refers to the use of quantum-mechanical phenomena to perform computation, which is discussed as potentially transformative in the AI landscape.
Agentic AI focuses on targeted tasks to maximize gains from current technology, contrasting with broader AI ambitions.
Quantum singularity refers to a hypothetical point where quantum computing achieves unprecedented capabilities, potentially disrupting the AI industry.
IBM is advancing quantum computing with its 1,121-qubit Condor processor and the Qiskit software platform.
NVIDIA is integrating quantum computing with its CUDA platform, emphasizing its commitment to quantum technology.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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