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Level up your quantum expertise. Enroll in our free Coursera course on quantum error correction from Google Quantum AI and become a contributor to the next era of computing. → →

Google Quantum AI

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The future of quantum computing relies on overcoming errors. Quantum error correction is how we'll build reliable and scalable quantum systems. What excites you most about the potential of quantum error correction? #QuantumAI

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Last year, we introduced Willow, our quantum chip, and cracked a key challenge in quantum error correction. Today, Google Quantum AI announced a new breakthrough algorithm on that chip which paves a path towards potential future uses in drug discovery and materials science.🧵

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The Next Megacycle in Computing is Quantum—and Dynex is playing a leading role! Today, we’re proud to announce the publication of our international patent (WO/2024/231907). This is a major step in advancing neuromorphic quantum computing. Dynex’s innovation shows method and system for large-scale computation of quantum algorithms using neuromorphic quantum computing. This milestone positions Dynex as a key player in the quantum era, empowering industries to solving real world problems at scale that will define this new megacycle of computing. 🔗 Learn more:

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We believe the future of enterprise computing will bring AI, HPC, and quantum together. That’s why, today, Quantinuum and Oracle have announced a multi-year strategic partnership to bring quantum computing to Oracle Cloud Infrastructure customers and accelerate the commercial adoption of hybrid quantum-AI computing. As part of the collaboration, our Helios quantum computer will be deployed in a U.S.-based Oracle AI data center, alongside OCI’s HPC and GPU infrastructure, and made available through OCI’s quantum service to give OCI customers a practical and secure way to explore how high-fidelity quantum computing can complement existing AI and HPC workloads—using the governance and access controls they already rely on. Read the joint announcement:

We believe the future of enterprise computing will bring AI, HPC, and quantum together. That’s why, today, Quantinuum and Oracle have announced a multi-year strategic partnership to bring quantum computing to Oracle Cloud Infrastructure customers and accelerate the commercial adoption of hybrid quantum-AI computing. As part of the collaboration, our Helios quantum computer will be deployed in a U.S.-based Oracle AI data center, alongside OCI’s HPC and GPU infrastructure, and made available through OCI’s quantum service to give OCI customers a practical and secure way to explore how high-fidelity quantum computing can complement existing AI and HPC workloads—using the governance and access controls they already rely on. Read the joint announcement:

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Quantum computers aren’t what you think. They’re cooler. Watch our #TED2024 TED Talk from Hartmut Neven, founder & head of Google Quantum AI → See how a quantum computer works, learn about quantum fundamentals, current and future applications, and more.

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A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog:

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The World Intellectual Property Organization (World Intellectual Property Organization (WIPO)) published Dynex’s neuromorphic quantum computing patent (WO/2024/231907), marking significant progress in bridging classical and quantum paradigms. The last step of WIPO outstanding is the formal granting of the published patent, providing Dynex exclusive rights to this groundbreaking technology for up to 20 years. This innovation affirms Dynex’s affordable, accessible and scalable quantum technology powered by a decentralized computing approach. From optimization in logistics and supply chains to breakthroughs in pharmaceuticals and advanced simulations, Dynex’s newly published patent represents a key milestone in enabling real-world quantum applications at scale across industries. Discover how the Dynex’s patent is making use of neuromorphic quantum computing. Quantum: The Next Megacycle in Computing. 🔗 Read more: #QuantumMegaCycle #QuantumComputing #Innovation

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Dynex

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🚨 CRYPTO: CARDANO RANKED SECOND MOST QUANTUM-READY BLOCKCHAIN IN GOOGLE RESEARCH ASSESSMENT Cardano Community ( $ADA ) has been ranked the second most quantum-ready blockchain, according to analysis tied to Google Quantum AI's latest research, placing it ahead of Bitcoin and XRP Ledger in post-quantum preparedness. The ranking highlights Cardano's Nightstream initiative, a lattice-based cryptography project announced by founder Charles Hoskinson at Consensus Hong Kong in February 2026, developed with researchers linked to Google and Microsoft. Nightstream is designed to be fast, scalable, and efficient on AI chips, targeting quantum resistance well before the projected 2030s deadline for large-scale quantum computing threats. The assessment comes as Google's paper revealed a 20x reduction in resources needed to break the elliptic curve cryptography protecting most blockchains, with Ethereum actively running post-quantum testnets and Bitcoin having no coordinated migration plan. Quantum-resistant tokens surged in the 24 hours following the paper's release.

🚨 CRYPTO: CARDANO RANKED SECOND MOST QUANTUM-READY BLOCKCHAIN IN GOOGLE RESEARCH ASSESSMENT Cardano Community ( $ADA ) has been ranked the second most quantum-ready blockchain, according to analysis tied to Google Quantum AI's latest research, placing it ahead of Bitcoin and XRP Ledger in post-quantum preparedness. The ranking highlights Cardano's Nightstream initiative, a lattice-based cryptography project announced by founder Charles Hoskinson at Consensus Hong Kong in February 2026, developed with researchers linked to Google and Microsoft. Nightstream is designed to be fast, scalable, and efficient on AI chips, targeting quantum resistance well before the projected 2030s deadline for large-scale quantum computing threats. The assessment comes as Google's paper revealed a 20x reduction in resources needed to break the elliptic curve cryptography protecting most blockchains, with Ethereum actively running post-quantum testnets and Bitcoin having no coordinated migration plan. Quantum-resistant tokens surged in the 24 hours following the paper's release.

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Random Circuit Sampling (RCS) is a necessary benchmark to measure quantum computer performance in the presence of noise. Why is RCS considered a cornerstone of quantum computing? Find out in our latest breakdown. #QuantumAI

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🚨 CRYPTO: ALGORAND SURGES 16% IN 24 HOURS AFTER GOOGLE QUANTUM AI PAPER CITES $ALGO 32 TIMES AS POST-QUANTUM PIONEER Algorand ( $ALGO ) has jumped 16% in 24 hours to $0.1053 after Google Quantum AI's landmark paper on blockchain quantum vulnerabilities cited the network 32 times, more than any other chain besides Bitcoin and Ethereum. Google described Algorand as "the perfect example of real-world deployment of post-quantum cryptography on an otherwise quantum-vulnerable blockchain." The paper highlighted Algorand's live FALCON digital signatures for smart contracts, state proofs, native key rotation, and multi-layered post-quantum security infrastructure. Trading volume spiked 162% in 24 hours and futures open interest jumped 55% to $58.9 million. The rally is especially dramatic given ALGO hit an all-time low of $0.08 just days earlier following a 25% Foundation workforce cut, CTO departure, and board reshuffle. The token is now up ~20% on the week as the quantum narrative provided a lifeline to a battered community.

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Most people look at Quip through the lens of post-quantum security. I think the more interesting story is happening somewhere else. Instead of asking users to learn quantum computing, Quip Network is quietly embedding quantum technology into products people can already use. Quantum randomness powers NFTs. Node operators contribute compute through simple tooling. BTC holders get access to quantum-resistant protection. Builders are already creating wallets and explorers on top of the network. Each product introduces a different piece of the quantum stack, but the user never has to understand the underlying science. That is a much harder problem to solve than building the technology itself. The real opportunity for Quip may not be making quantum computing more powerful. It may be making quantum computing invisible. Nucleus

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Ray Dalio, billionaire investor and founder of Bridgewater, still views Bitcoin as a form of hard money. But he warns quantum computing could threaten the security behind it. Digital value needs protection built for the quantum era.

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DAC | Quantum Chain

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🚨 AI JUST DISCOVERED QUANTUM EFFECTS THAT SCIENTISTS DIDN'T KNOW EXIST. Researchers at the University of Washington used artificial intelligence to simulate dozens of atomically thin sheets of molybdenum ditelluride stacked in precise twisted patterns. At small scales, these materials look relatively ordinary. But when the AI modeled much larger stacks, completely new quantum behaviors emerged phenomena that only exist because of the complex, repeating moiré patterns formed across many layers. Why this matters: • Many of the most interesting quantum effects only appear at scales that are too large for traditional supercomputers to simulate • AI can act as a fast “surrogate” that learns from smaller calculations and predicts behavior at much bigger scales • These large-scale moiré systems can host exotic quantum states useful for quantum computing and new types of electronics • The same approach could be used to discover many other hidden quantum materials The deeper implication: We are entering an era where AI doesn’t just help us analyze data it helps us discover entirely new quantum phenomena that were previously invisible because they only exist in systems too complex for conventional modeling. This could dramatically speed up the search for materials that power future quantum technologies. What do you find more exciting using AI to uncover hidden quantum effects in materials, or the possibility that these stacked atomic sheets could become building blocks for future quantum computers? Follow for more frontier quantum materials and AI-driven discovery.

🚨 AI JUST DISCOVERED QUANTUM EFFECTS THAT SCIENTISTS DIDN'T KNOW EXIST. Researchers at the University of Washington used artificial intelligence to simulate dozens of atomically thin sheets of molybdenum ditelluride stacked in precise twisted patterns. At small scales, these materials look relatively ordinary. But when the AI modeled much larger stacks, completely new quantum behaviors emerged phenomena that only exist because of the complex, repeating moiré patterns formed across many layers. Why this matters: • Many of the most interesting quantum effects only appear at scales that are too large for traditional supercomputers to simulate • AI can act as a fast “surrogate” that learns from smaller calculations and predicts behavior at much bigger scales • These large-scale moiré systems can host exotic quantum states useful for quantum computing and new types of electronics • The same approach could be used to discover many other hidden quantum materials The deeper implication: We are entering an era where AI doesn’t just help us analyze data it helps us discover entirely new quantum phenomena that were previously invisible because they only exist in systems too complex for conventional modeling. This could dramatically speed up the search for materials that power future quantum technologies. What do you find more exciting using AI to uncover hidden quantum effects in materials, or the possibility that these stacked atomic sheets could become building blocks for future quantum computers? Follow for more frontier quantum materials and AI-driven discovery.

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With support from U.S. Department of Commerce, IBM is announcing its plans for Anderon, America’s first quantum foundry that will accelerate American quantum leadership and enable advanced quantum wafer manufacturing. This initiative marks one of the most significant commitments from the U.S. government in quantum R&D to date, and is poised to fuel American economic growth and quantum innovation. Learn more here:

With support from U.S. Department of Commerce, IBM is announcing its plans for Anderon, America’s first quantum foundry that will accelerate American quantum leadership and enable advanced quantum wafer manufacturing. This initiative marks one of the most significant commitments from the U.S. government in quantum R&D to date, and is poised to fuel American economic growth and quantum innovation. Learn more here:

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🚨 SCIENTISTS JUST TRAPPED A SINGLE ATOM ON A PHOTONIC CHIP AND IT COULD CHANGE QUANTUM COMPUTING FOREVER. Researchers at Quantum Source and the Weizmann Institute have successfully trapped a single rubidium atom just 150–200 nanometers from a photonic resonator on a chip. That’s close enough for the atom to directly interact with light flowing through the circuit. Why this matters: Quantum computing has always had two separate superpowers: • Neutral atoms → ultra-stable quantum states • Photonic chips → fast, scalable light-based circuits The problem? They’ve never played well together. Atoms are fragile near surfaces and photonic chips are tiny. Now they’ve cracked it with a new “single-stroke loading” technique: a carefully shaped optical field slows the atom down, catches it, and lets it communicate directly with photons inside the chip. The deeper implication is huge: This is the first real bridge between two of the most promising quantum platforms. It opens the door to: • chip-scale quantum networks • photonic quantum processors • ultra-secure quantum communication • quantum internet infrastructure • and scalable quantum systems built with semiconductor-style fabrication For the first time, a single atom isn’t just sitting near the chip it’s actively changing how photons behave inside the resonator. The two worlds of quantum computing are finally starting to merge. What happens when single atoms become programmable building blocks inside photonic processors? Follow for more frontier physics and future-tech discoveries.

🚨 SCIENTISTS JUST TRAPPED A SINGLE ATOM ON A PHOTONIC CHIP AND IT COULD CHANGE QUANTUM COMPUTING FOREVER. Researchers at Quantum Source and the Weizmann Institute have successfully trapped a single rubidium atom just 150–200 nanometers from a photonic resonator on a chip. That’s close enough for the atom to directly interact with light flowing through the circuit. Why this matters: Quantum computing has always had two separate superpowers: • Neutral atoms → ultra-stable quantum states • Photonic chips → fast, scalable light-based circuits The problem? They’ve never played well together. Atoms are fragile near surfaces and photonic chips are tiny. Now they’ve cracked it with a new “single-stroke loading” technique: a carefully shaped optical field slows the atom down, catches it, and lets it communicate directly with photons inside the chip. The deeper implication is huge: This is the first real bridge between two of the most promising quantum platforms. It opens the door to: • chip-scale quantum networks • photonic quantum processors • ultra-secure quantum communication • quantum internet infrastructure • and scalable quantum systems built with semiconductor-style fabrication For the first time, a single atom isn’t just sitting near the chip it’s actively changing how photons behave inside the resonator. The two worlds of quantum computing are finally starting to merge. What happens when single atoms become programmable building blocks inside photonic processors? Follow for more frontier physics and future-tech discoveries.

TheNewPhysics

16,653 görüntüleme • 2 ay önce

Today at NVIDIA #GTC, IonQ announced a strategic alliance and MOU with NVIDIA and KISTI to build a national quantum-HPC infrastructure for South Korea. Together, we're providing the foundational technology and AI models that will accelerate quantum computing globally. Read more here: #QuantumComputing #AI

Today at NVIDIA #GTC, IonQ announced a strategic alliance and MOU with NVIDIA and KISTI to build a national quantum-HPC infrastructure for South Korea. Together, we're providing the foundational technology and AI models that will accelerate quantum computing globally. Read more here: #QuantumComputing #AI

IonQ

90,976 görüntüleme • 5 ay önce

🚨 SCIENTISTS MAY HAVE FOUND A CHEAPER PATH TO QUANTUM COMPUTERS AND IT LOOKS LIKE A HONEYCOMB. Researchers in Japan created tiny cobalt honeycomb structures that show the exact magnetic behavior scientists have been chasing for next-generation quantum materials. Why this matters: Today’s most promising quantum materials rely on rare and expensive elements like iridium and ruthenium. This new approach uses cobalt —l one of the most common metals on Earth. The result: • Strong quantum magnetic interactions • Potential spin-liquid states • Dramatically lower cost • Easier manufacturing at scale The deeper implication is fascinating: Nature keeps reusing the same geometry. Honeycombs appear in beehives, in graphene… and now they may help build the quantum computers of the future. Sometimes the next technological revolution isn’t hidden in a new rare element it’s hidden in a smarter pattern. Could the future of quantum computing be built from one of Earth’s most common metals? Follow for more frontier physics.

🚨 SCIENTISTS MAY HAVE FOUND A CHEAPER PATH TO QUANTUM COMPUTERS AND IT LOOKS LIKE A HONEYCOMB. Researchers in Japan created tiny cobalt honeycomb structures that show the exact magnetic behavior scientists have been chasing for next-generation quantum materials. Why this matters: Today’s most promising quantum materials rely on rare and expensive elements like iridium and ruthenium. This new approach uses cobalt —l one of the most common metals on Earth. The result: • Strong quantum magnetic interactions • Potential spin-liquid states • Dramatically lower cost • Easier manufacturing at scale The deeper implication is fascinating: Nature keeps reusing the same geometry. Honeycombs appear in beehives, in graphene… and now they may help build the quantum computers of the future. Sometimes the next technological revolution isn’t hidden in a new rare element it’s hidden in a smarter pattern. Could the future of quantum computing be built from one of Earth’s most common metals? Follow for more frontier physics.

TheNewPhysics

12,159 görüntüleme • 2 ay önce

Ixios Mainnet Launch Date We are thrilled to announce the official launch date of the Ixios Mainnet, a layer 1 blockchain designed to future-proof blockchain technology with quantum-resistance and blazingly fast speed. As a nod to Satoshi Nakamoto, the pseudonymous creator of Bitcoin—the Ixios Mainnet will officially go live on April 5, 2025. Ixios introduces a quantum-resistant architecture, engineered with a forward-looking modular signature mechanism. This innovation addresses advances in quantum computing, ensuring security in a post-quantum world. Together, Let’s future-proof Web3.

Ixios Mainnet Launch Date We are thrilled to announce the official launch date of the Ixios Mainnet, a layer 1 blockchain designed to future-proof blockchain technology with quantum-resistance and blazingly fast speed. As a nod to Satoshi Nakamoto, the pseudonymous creator of Bitcoin—the Ixios Mainnet will officially go live on April 5, 2025. Ixios introduces a quantum-resistant architecture, engineered with a forward-looking modular signature mechanism. This innovation addresses advances in quantum computing, ensuring security in a post-quantum world. Together, Let’s future-proof Web3.

Ixios

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