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In Dec 2024, Google unveiled the Willow chip, showing that error correction in quantum systems is possible!💡 For years, scaling meant more errors. Now, adding more qubits can actually reduce them. That’s a big shift!

Whale Coin Talk

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19,379 просмотров • 4 месяцев назад •via X (Twitter)

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Google's superconducting quantum computer chip Willow has logical qubits which, for the first time in history, operate below the critical Quantum Error Correction threshold

Google's superconducting quantum computer chip Willow has logical qubits which, for the first time in history, operate below the critical Quantum Error Correction threshold

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Today, we launched Helios, a technological marvel redefining the possible. Helios is the most accurate quantum computer in the world, with 98 of the highest fidelity physical qubits ever released, and 48 error-corrected logical qubits. Learn more:

Today, we launched Helios, a technological marvel redefining the possible. Helios is the most accurate quantum computer in the world, with 98 of the highest fidelity physical qubits ever released, and 48 error-corrected logical qubits. Learn more:

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My video about Google's Willow quantum chip announcement is out now on X! Quantum Physicist Reacts to Google's "Willow" Quantum Chip 00:00 Intro 01:10 Quantum supremacy 2019 04:06 Speed-up announcement 05:20 Quantum error correction announcement 07:25 What the error correction experiment showed 12:17 Multiverse comment in blog 13:20 Everett's solution to the measurement problem 14:53 Testing many-worlds vs collapse 16:20 Using the multiverse for quantum computation 18:31 How do quantum computers give advantage over classical? 19:28 Summary reflections

My video about Google's Willow quantum chip announcement is out now on X! Quantum Physicist Reacts to Google's "Willow" Quantum Chip 00:00 Intro 01:10 Quantum supremacy 2019 04:06 Speed-up announcement 05:20 Quantum error correction announcement 07:25 What the error correction experiment showed 12:17 Multiverse comment in blog 13:20 Everett's solution to the measurement problem 14:53 Testing many-worlds vs collapse 16:20 Using the multiverse for quantum computation 18:31 How do quantum computers give advantage over classical? 19:28 Summary reflections

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Introducing NVIDIA Ising, the world’s first open AI models to accelerate the path to useful quantum computers. Researchers and enterprises can now use AI-powered workflows for scalable, high-performance quantum systems with quantum processor calibration capabilities and quantum error-correction decoding. Learn more:

Introducing NVIDIA Ising, the world’s first open AI models to accelerate the path to useful quantum computers. Researchers and enterprises can now use AI-powered workflows for scalable, high-performance quantum systems with quantum processor calibration capabilities and quantum error-correction decoding. Learn more:

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🎥WATCH: Google's quantum chip cracked a problem in 5 that would take the world's fastest supercomputer tens of BILLIONS of years. CEO Sundar Pichai says it proves quantum error correction now works at scale, putting practically useful quantum computers 5 to 10 years away.

🎥WATCH: Google's quantum chip cracked a problem in 5 that would take the world's fastest supercomputer tens of BILLIONS of years. CEO Sundar Pichai says it proves quantum error correction now works at scale, putting practically useful quantum computers 5 to 10 years away.

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Google says quantum will break Bitcoin in 9 minutes. They need 500,000 qubits. They have 72. Your bank OTP, UPI, Aadhaar all of that is more vulnerable than Bitcoin. Closed systems, legacy code, zero transparency. Bitcoin is open source. The whole world audits it. It has been preparing for quantum for years. 17 years of FUD. Bitcoin is still here. Don’t sell. That’s exactly what this headline wants you to do. #Bitcoin #QuantumFUD #QuantumvsBitcoin #QuantumComputer #BitcoinFacts

Google says quantum will break Bitcoin in 9 minutes. They need 500,000 qubits. They have 72. Your bank OTP, UPI, Aadhaar all of that is more vulnerable than Bitcoin. Closed systems, legacy code, zero transparency. Bitcoin is open source. The whole world audits it. It has been preparing for quantum for years. 17 years of FUD. Bitcoin is still here. Don’t sell. That’s exactly what this headline wants you to do. #Bitcoin #QuantumFUD #QuantumvsBitcoin #QuantumComputer #BitcoinFacts

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6,100-Qubit Processor Shatters Quantum Computing Record | David Nield, ScienceAlert Another major quantum computing record has been broken, and by a considerable margin: physicists have now built an array containing 6,100 qubits, the largest of its type and way above the thousand or so qubits previous systems contained. It's the work of scientists from the California Institute of Technology, who used cesium atoms as their qubits, trapping them in place with a complex system of lasers that acted as tweezers to keep the atoms as stable as possible. Qubits differ from the classical bits of traditional computers by exploiting what's known as a superposition: not just binary states of 1 or 0, but a spread of probabilities that allows for algorithms that can solve problems considered out of reach of conventional computing methods. Related: Quantum Advantage: A Physicist Explains The Future of Computers A lot of qubits will be needed to make quantum algorithms practical, however. One reason for these large arrays is error correction, which helps overcome the inherent fragility of the qubit by providing a surplus to double-check the machine's operation. "This is an exciting moment for neutral-atom quantum computing," says physicist Manuel Endres. "We can now see a pathway to large error-corrected quantum computers. The building blocks are in place." There was no single breakthrough that enabled this jump in qubit numbers, but rather a series of engineering advancements in many key areas – from the laser tweezers to the ultra-high (very low pressure) vacuum chamber. Stability has also been a problem for quantum computing systems. The innovations in this latest array kept qubits in a superposition state for almost 13 seconds – almost ten times longer than previous configurations had managed. What's more, individual qubits could be manipulated with 99.98 percent accuracy, establishing a significant benchmark in the programmability of quantum technology. "Large scale, with more atoms, is often thought to come at the expense of accuracy, but our results show that we can do both," says physicist Gyohei Nomura. "Qubits aren't useful without quality. Now we have quantity and quality." To make quantum computers a practical alternative to modern supercomputers, more qubits and even greater levels of stability will be required. Experts are tackling the problem from several different angles, which is why records for some types of quantum computer don't necessarily apply to others. Next, the researchers need to work on exploiting entanglement, which will enable the system to make the leap from storing information to actually processing it. Not too far in the future, we could be using these computers to discover new materials, matter, and fundamental laws of physics. "It's exciting that we are creating machines to help us learn about the Universe in ways that only quantum mechanics can teach us," says physicist Hannah Manetsch. Read more:

6,100-Qubit Processor Shatters Quantum Computing Record | David Nield, ScienceAlert Another major quantum computing record has been broken, and by a considerable margin: physicists have now built an array containing 6,100 qubits, the largest of its type and way above the thousand or so qubits previous systems contained. It's the work of scientists from the California Institute of Technology, who used cesium atoms as their qubits, trapping them in place with a complex system of lasers that acted as tweezers to keep the atoms as stable as possible. Qubits differ from the classical bits of traditional computers by exploiting what's known as a superposition: not just binary states of 1 or 0, but a spread of probabilities that allows for algorithms that can solve problems considered out of reach of conventional computing methods. Related: Quantum Advantage: A Physicist Explains The Future of Computers A lot of qubits will be needed to make quantum algorithms practical, however. One reason for these large arrays is error correction, which helps overcome the inherent fragility of the qubit by providing a surplus to double-check the machine's operation. "This is an exciting moment for neutral-atom quantum computing," says physicist Manuel Endres. "We can now see a pathway to large error-corrected quantum computers. The building blocks are in place." There was no single breakthrough that enabled this jump in qubit numbers, but rather a series of engineering advancements in many key areas – from the laser tweezers to the ultra-high (very low pressure) vacuum chamber. Stability has also been a problem for quantum computing systems. The innovations in this latest array kept qubits in a superposition state for almost 13 seconds – almost ten times longer than previous configurations had managed. What's more, individual qubits could be manipulated with 99.98 percent accuracy, establishing a significant benchmark in the programmability of quantum technology. "Large scale, with more atoms, is often thought to come at the expense of accuracy, but our results show that we can do both," says physicist Gyohei Nomura. "Qubits aren't useful without quality. Now we have quantity and quality." To make quantum computers a practical alternative to modern supercomputers, more qubits and even greater levels of stability will be required. Experts are tackling the problem from several different angles, which is why records for some types of quantum computer don't necessarily apply to others. Next, the researchers need to work on exploiting entanglement, which will enable the system to make the leap from storing information to actually processing it. Not too far in the future, we could be using these computers to discover new materials, matter, and fundamental laws of physics. "It's exciting that we are creating machines to help us learn about the Universe in ways that only quantum mechanics can teach us," says physicist Hannah Manetsch. Read more:

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Willow marks a significant step forward in quantum computing. Learn how Quantum AI is advancing towards a large-scale, error-corrected quantum computer—a tool that could one day address challenges previously thought beyond reach. Learn more →

Willow marks a significant step forward in quantum computing. Learn how Quantum AI is advancing towards a large-scale, error-corrected quantum computer—a tool that could one day address challenges previously thought beyond reach. Learn more →

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$INFQ CEO says finding errors in quantum computing is easy but tracing them back to the root cause is hard. It’s an inference problem. The goal is to use Nvidia NVQLink to accelerate the correction of those errors. The consensus architecture for the foreseeable future is hybrid: Quantum computers work in unison with GPUs. Given that $INFQ is already included in the NVQLink ecosystem, isn’t this a bull case for both Nvidia and $INFQ?

$INFQ CEO says finding errors in quantum computing is easy but tracing them back to the root cause is hard. It’s an inference problem. The goal is to use Nvidia NVQLink to accelerate the correction of those errors. The consensus architecture for the foreseeable future is hybrid: Quantum computers work in unison with GPUs. Given that $INFQ is already included in the NVQLink ecosystem, isn’t this a bull case for both Nvidia and $INFQ?

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The Google and Caltech quantum papers demonstrated 2 breakthroughs: that Bitcoin cryptography is much easier to break than previously thought, and that far fewer logical qubits may be necessary for physical qubits. Project Eleven CEO Alex Pruden explains: "These two papers are not necessarily about a quantum computer that's bigger or more capable. They're about what it takes to break cryptography." "So what changed? One of the things that changed was that physicists and quantum cryptographers that looked at this problem for a long time studied an algorithm called RSA — an older cryptographic algorithm." "But that's not what really any blockchains use, because RSA keys are very large. It turns out, and this was one of the key upshots of the Google paper, that if you focus on the cryptography used by Bitcoin, Ethereum, and other networks, it's actually way easier to break than they thought it was, compared to RSA." "The other big breakthrough, and this is from the Caltech paper: Quantum computers are very fragile, generally. So to be useful, they need to have what's called error correction applied. And that can result in a lot of overhead. You need to have tons of physical qubits to get to one logical qubit." "This Caltech paper basically showed, 'Hey, we have some new ideas for error correction. And it turns out if we apply those, we don't need hundreds or thousands of physical qubits, maybe we just need a handful to make one logical cubit.'" "The headline of their paper is 'You may only need 10,000 physical qubits to run Shor's algorithm.' And by the way, they demonstrated 6,000 last year."

The Google and Caltech quantum papers demonstrated 2 breakthroughs: that Bitcoin cryptography is much easier to break than previously thought, and that far fewer logical qubits may be necessary for physical qubits. Project Eleven CEO Alex Pruden explains: "These two papers are not necessarily about a quantum computer that's bigger or more capable. They're about what it takes to break cryptography." "So what changed? One of the things that changed was that physicists and quantum cryptographers that looked at this problem for a long time studied an algorithm called RSA — an older cryptographic algorithm." "But that's not what really any blockchains use, because RSA keys are very large. It turns out, and this was one of the key upshots of the Google paper, that if you focus on the cryptography used by Bitcoin, Ethereum, and other networks, it's actually way easier to break than they thought it was, compared to RSA." "The other big breakthrough, and this is from the Caltech paper: Quantum computers are very fragile, generally. So to be useful, they need to have what's called error correction applied. And that can result in a lot of overhead. You need to have tons of physical qubits to get to one logical qubit." "This Caltech paper basically showed, 'Hey, we have some new ideas for error correction. And it turns out if we apply those, we don't need hundreds or thousands of physical qubits, maybe we just need a handful to make one logical cubit.'" "The headline of their paper is 'You may only need 10,000 physical qubits to run Shor's algorithm.' And by the way, they demonstrated 6,000 last year."

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Bill Gates says scaling AI systems will work for two more iterations and after that the next big frontier is meta-cognition where AI can reason about its tasks

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Vitalik Buterin is prioritizing Quantum resistance for Ethereum vitalik.eth has unveiled the 2026 "Strawmap," detailing a structural shift in Ethereum's development to counter emerging cryptographic and scaling challenges. The updated architecture elevates quantum safety to a primary priority by introducing LeanSPHINCS signatures and "zkzk frames" to facilitate native rollups. This transition marks a pivot away from the traditional EVM toward more efficient, AI-verifiable ISAs such as RISC-V, to maintain a "Lean" protocol core that can be formally verified at scale.

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