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Using random circuit sampling (RCS), we've demonstrated that quantum computers can outperform classical supercomputers, even with noise. This 'beyond classical' capability is possible because qubits can exist in multiple states at once, giving quantum computers an edge.

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Google Quantum AI

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64,139 Aufrufe • vor 2 Jahren •via X (Twitter)

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8 Kommentare

Profilbild von Cryptodutch ⚡️
Cryptodutch ⚡️vor 2 Jahren

Blockchain will be in a huge danger soon. $CELL is the only Post-Quantum blockchain that will be resistance of QC. 4 layers of Post-Quantum. 18 mil mc & will make huge movesz Such a no brainer

Profilbild von 🗝️ChRθηθδ 🦋✨ C E O @ P A P I L L O N
🗝️ChRθηθδ 🦋✨ C E O @ P A P I L L O Nvor 2 Jahren

💙🦋🚀

Profilbild von Fred
Fredvor 2 Jahren

No. It is false statement. Using random circuit, google shown it is possible to design a system for quantum which takes longer for classic. Unfortunately, Scott only damaged this field with CS mentality.

Profilbild von Headline Hungama
Headline Hungamavor 2 Jahren

This breakthrough underscores the immense potential of quantum computing to tackle problems that are intractable for even the most powerful classical supercomputers.

Profilbild von Sun's Son Music
Sun's Son Musicvor 2 Jahren

👍🏻It's really about time.🤷🏻

Profilbild von David Makola
David Makolavor 1 Jahr

@GoogleAI Hi, I'm David Makola, I'm a creator and conceptor of new technologies. I've created a new software system for Android and Pixel, which allows the user to use and handle smartphone with his mind(thoughts). I've applied at Google Jobs in Mountain View. I'm waiting to work with you

Profilbild von Caduceus
Caduceusvor 1 Jahr

Impressive advancements! 🚀 At #Caduceus, our platform's edge-rendering capabilities and #AI-driven infrastructure are built to support such breakthroughs. From DePIN to #aigc and beyond, we're here to power the next frontier in decentralized applications. Welcome aboard the future! 🌐✨

Profilbild von FiveRivers Technologies
FiveRivers Technologiesvor 1 Jahr

Incredible progress! Seeing quantum computers achieve 'beyond classical' performance, even with noise, highlights their potential to tackle problems once thought impossible.

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D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS

D-Wave

65,128 Aufrufe • vor 1 Jahr

Clark, Devay, and Martinez just won the 2025 Nobel Prize in Physics for proving quantum mechanics scales beyond atoms. They cooled a Josephson junction to millikelvin temperatures and watched billions of electrons tunnel as a single wave function — something classical physics says is impossible. The proof: escape rate stopped depending on temperature entirely. Thermal noise can't explain that. Only quantum tunneling can. That same effect now powers the superconducting qubits competing with GPU clusters on specific LLM inference and optimization tasks. 7 minutes. Bookmark & watch today.
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Clark, Devay, and Martinez just won the 2025 Nobel Prize in Physics for proving quantum mechanics scales beyond atoms. They cooled a Josephson junction to millikelvin temperatures and watched billions of electrons tunnel as a single wave function — something classical physics says is impossible. The proof: escape rate stopped depending on temperature entirely. Thermal noise can't explain that. Only quantum tunneling can. That same effect now powers the superconducting qubits competing with GPU clusters on specific LLM inference and optimization tasks. 7 minutes. Bookmark & watch today.

Eron

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Quoting from the blog: 'Claude has proven particularly adept at optimizing classical algorithms, so we wanted to see whether it could do the same for quantum algorithms if it were given only a plain-language description of what each circuit must compute. Claude is unusually well suited to this task, for several reasons. First, quantum algorithms are implemented as quantum circuits. These are composed of sequences of gates, like the Toffoli gates mentioned above. Importantly, these circuits can be described in code, so we can make use of Claude’s coding capabilities to write, run, and revise circuit designs as ordinary programs. Second, the (fairly common) class of quantum algorithms we were most interested in optimizing can be tested efficiently for correctness, as each input gives one definite output that an ordinary computer can check. This means we could have an external evaluator program validate Claude’s proposals. Finally, we can give Claude a clear, objective score to improve: the number of qubits used, multiplied by the number of gates, which serves as a proxy for how long the circuit would take to run. We found that Claude Mythos 5 could successfully work in a closed loop, proposing a circuit design, receiving feedback and a score from the evaluator program, and using that feedback to improve its next attempt, with no human input between rounds. Across eight computational primitives—the basic routines that larger quantum algorithms are built from—for chemistry, optimization, quantum simulation, number theory, and numerical computing, Claude discovered novel designs that used both fewer qubits and fewer gates than the best previously published algorithms.'
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Quoting from the blog: 'Claude has proven particularly adept at optimizing classical algorithms, so we wanted to see whether it could do the same for quantum algorithms if it were given only a plain-language description of what each circuit must compute. Claude is unusually well suited to this task, for several reasons. First, quantum algorithms are implemented as quantum circuits. These are composed of sequences of gates, like the Toffoli gates mentioned above. Importantly, these circuits can be described in code, so we can make use of Claude’s coding capabilities to write, run, and revise circuit designs as ordinary programs. Second, the (fairly common) class of quantum algorithms we were most interested in optimizing can be tested efficiently for correctness, as each input gives one definite output that an ordinary computer can check. This means we could have an external evaluator program validate Claude’s proposals. Finally, we can give Claude a clear, objective score to improve: the number of qubits used, multiplied by the number of gates, which serves as a proxy for how long the circuit would take to run. We found that Claude Mythos 5 could successfully work in a closed loop, proposing a circuit design, receiving feedback and a score from the evaluator program, and using that feedback to improve its next attempt, with no human input between rounds. Across eight computational primitives—the basic routines that larger quantum algorithms are built from—for chemistry, optimization, quantum simulation, number theory, and numerical computing, Claude discovered novel designs that used both fewer qubits and fewer gates than the best previously published algorithms.'

Andrew Curran

18,352 Aufrufe • vor 2 Tagen

Elon Musk is delaying Mars to focus on an uncrewed Moon landing by March 2027, and that might be the real beginning of the quantum era. This is exactly why Elon has said quantum computing is best done in the Moon’s permanently shadowed craters. At first, it sounds like one of Elon’s sci-fi ideas. But the logic is ruthless. Quantum computers demand extreme cold and absolute stability. No heat. No noise. No vibration. The Moon’s shadowed craters, like Shackleton, sit at −200°C, permanently dark, airless, silent, and untouched by weather. A perfect, natural quantum laboratory. On Earth, we spend billions trying to artificially create these conditions. On the Moon, they already exist. Once again, Elon isn’t daydreaming. He’s pointing straight at the future.
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Elon Musk is delaying Mars to focus on an uncrewed Moon landing by March 2027, and that might be the real beginning of the quantum era. This is exactly why Elon has said quantum computing is best done in the Moon’s permanently shadowed craters. At first, it sounds like one of Elon’s sci-fi ideas. But the logic is ruthless. Quantum computers demand extreme cold and absolute stability. No heat. No noise. No vibration. The Moon’s shadowed craters, like Shackleton, sit at −200°C, permanently dark, airless, silent, and untouched by weather. A perfect, natural quantum laboratory. On Earth, we spend billions trying to artificially create these conditions. On the Moon, they already exist. Once again, Elon isn’t daydreaming. He’s pointing straight at the future.

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249,098 Aufrufe • vor 8 Monaten

Why Elon Musk said “Quantum computing is best done in the permanently shadowed craters on the Moon” At first, it sounds like one of Elon’s wild sci-fi ideas, but there’s deep logic behind it Quantum computers need extreme cold and perfect stability to work. The Moon’s permanently shadowed craters, like Shackleton, stay at −200°C, with no atmosphere, no noise, no heat, and no weather, the ultimate natural lab for quantum physics On Earth, we spend millions creating those same conditions artificially. On the Moon, they already exist Once again, Elon isn’t just joking, he’s pointing at the future
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Why Elon Musk said “Quantum computing is best done in the permanently shadowed craters on the Moon” At first, it sounds like one of Elon’s wild sci-fi ideas, but there’s deep logic behind it Quantum computers need extreme cold and perfect stability to work. The Moon’s permanently shadowed craters, like Shackleton, stay at −200°C, with no atmosphere, no noise, no heat, and no weather, the ultimate natural lab for quantum physics On Earth, we spend millions creating those same conditions artificially. On the Moon, they already exist Once again, Elon isn’t just joking, he’s pointing at the future

SMX 🇺🇸

433,493 Aufrufe • vor 11 Monaten