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The Google Quantum AI whitepaper reshaped the quantum conversation. We sat down with Benjamin Villalonga from Google Quantum AI to walk through the full quantum computing stack from first principles - where the hardware meets classical simulation. 1 hour. Full conversation ↓

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Quantum

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6,089,473 просмотров • 3 месяцев назад •via X (Twitter)

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Holy moly: Google’s Quantum AI team achieved the first verifiable quantum advantage with their “Willow” processor, proving that their quantum system can perform a complex physics simulation, tracking quantum interference effects, far faster than any classical supercomputer. This marks a turning point where quantum hardware demonstrates not just theoretical but experimentally verified superiority, paving the way toward practical, scalable quantum computing! Quantum computing is finally becoming practical! (Clip: Google)
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Holy moly: Google’s Quantum AI team achieved the first verifiable quantum advantage with their “Willow” processor, proving that their quantum system can perform a complex physics simulation, tracking quantum interference effects, far faster than any classical supercomputer. This marks a turning point where quantum hardware demonstrates not just theoretical but experimentally verified superiority, paving the way toward practical, scalable quantum computing! Quantum computing is finally becoming practical! (Clip: Google)

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🚨Google recently announced the Willow - 105 Qubit Quantum computing chip. This made a lot of people question whether quantum computing is close to breaking Bitcoin. Watch this Video where we explain - What is quantum computing & can it break Bitcoin. This video is from 5 years ago - Back then Google was able to achieve close to 53 Qubit.
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From the Quantum Labs: Dynex's Quantum-Diffusion LLM (qdLLM) is set to launch soon. It marks a paradigm shift in generative AI, combining quantum computing principles with cutting-edge language modelling to unlock new levels of reasoning, efficiency, and scalability.
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From the Quantum Labs: Dynex's Quantum-Diffusion LLM (qdLLM) is set to launch soon. It marks a paradigm shift in generative AI, combining quantum computing principles with cutting-edge language modelling to unlock new levels of reasoning, efficiency, and scalability.

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I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.
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Where does the “power” of quantum computing come from? Our COO, Charina Chou, breaks down quantum entanglement and why it’s key to unlocking the potential of quantum systems. Watch more →
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The Dynex Quantum Diffusion LLM (qdLLM) uses quantum computing principles to generate responses with higher complexity and creativity than classical models. Have a try at our booth at @web3amsterdam
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