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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.

Google Quantum AI

60,749 subscribers

64,139 views • 1 year ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

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8 Comments

Cryptodutch ⚡️1 year ago

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

🗝️ChRθηθδ 🦋✨ C E O @ P A P I L L O N1 year ago

💙🦋🚀

Fred1 year ago

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.

Headline Hungama1 year ago

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

Sun's Son Music1 year ago

👍🏻It's really about time.🤷🏻

David Makola1 year ago

@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

Caduceus1 year ago

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! 🌐✨

FiveRivers Technologies1 year ago

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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Six Five Media

53,400 views • 1 month ago

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Mario Nawfal

327,898 views • 2 years ago

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Dr Maria Violaris

18,022 views • 5 months ago

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:

Owen Gregorian

45,324 views • 11 months ago

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 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

65,039 views • 1 year ago

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.

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.

SMX 🇺🇸

249,097 views • 6 months ago

What is the ultimate goal of the 'Elites' with A.I. and quantum computers? The A.I. will become so good at reading patterns that when the elite use the supercomputer for some decision, the A.I. and the quantum system will immediately create all possible scenarios of the future and tell them exactly what to do, and the scary part is that after they make the decision, everything will happen exactly as the A.I. predicted, as if they can see the future. At least they believe they can achieve this.

What is the ultimate goal of the 'Elites' with A.I. and quantum computers? The A.I. will become so good at reading patterns that when the elite use the supercomputer for some decision, the A.I. and the quantum system will immediately create all possible scenarios of the future and tell them exactly what to do, and the scary part is that after they make the decision, everything will happen exactly as the A.I. predicted, as if they can see the future. At least they believe they can achieve this.

Open Minded Approach

43,117 views • 9 months ago

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 daydreaming, he’s pointing at the future.

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 daydreaming, he’s pointing at the future.

SMX 🇺🇸

87,967 views • 9 months ago

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

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 🇺🇸

433,322 views • 10 months ago

BREAKING: $RGTI CEO on Yahoo Finance this morning: “Sales don’t matter for us.” “3–5 years for quantum advantage.” “7–9 years for fault-tolerant quantum computers.” The reason the CEO can be honest is he sold all of his shares back in May! Translation: the CEO is openly saying there will be no meaningful commercial revenue for the better part of a decade. Investors are pricing a revenue story around quantum advantage being here and now that literally doesn’t exist yet. This stock is going to get crushed.

BREAKING: $RGTI CEO on Yahoo Finance this morning: “Sales don’t matter for us.” “3–5 years for quantum advantage.” “7–9 years for fault-tolerant quantum computers.” The reason the CEO can be honest is he sold all of his shares back in May! Translation: the CEO is openly saying there will be no meaningful commercial revenue for the better part of a decade. Investors are pricing a revenue story around quantum advantage being here and now that literally doesn’t exist yet. This stock is going to get crushed.

Common Sense Investor (CSI)

398,282 views • 10 months ago

NEW: Inside PsiQuantum's Silicon Photonic Chipset *Never-Before-Seen* With Er-Xuan Ping, SVP, Barium Titanate (BTO) Development Backdrop: the U.S. government just announced a $2B push into domestic quantum computing manufacturing - but what does that actually fund? The U.S. Department of Commerce Department recently awarded PsiQuantum $100M to accelerate development of BTO, giving a rare look into the underlying manufacturing stack required to scale fault-tolerant quantum computing. We profiled PsiQuantum last September following its $1B Series E, including how the company produces the world’s highest-performing optical switch - a core component of its silicon photonics platform. PsiQuantum is currently the only company or institution in the world manufacturing this BTO material for optical switches at 300mm scale. While the company built this silicon photonics platform for fault-tolerant quantum computing (FTQC)*, the implications may extend far beyond quantum itself. As AI data centers increasingly shift from copper to optical networking, PsiQuantum’s photonics stack could also become foundational infrastructure for next-generation AI systems. *Fault-tolerant quantum computing (FTQC) refers to quantum computers that can continue operating accurately even when individual quantum bits (“qubits”) are noisy or error-prone. Shoutout to Pete Shadbolt

NEW: Inside PsiQuantum's Silicon Photonic Chipset Never-Before-Seen With Er-Xuan Ping, SVP, Barium Titanate (BTO) Development Backdrop: the U.S. government just announced a $2B push into domestic quantum computing manufacturing - but what does that actually fund? The U.S. Department of Commerce Department recently awarded PsiQuantum $100M to accelerate development of BTO, giving a rare look into the underlying manufacturing stack required to scale fault-tolerant quantum computing. We profiled PsiQuantum last September following its $1B Series E, including how the company produces the world’s highest-performing optical switch - a core component of its silicon photonics platform. PsiQuantum is currently the only company or institution in the world manufacturing this BTO material for optical switches at 300mm scale. While the company built this silicon photonics platform for fault-tolerant quantum computing (FTQC), the implications may extend far beyond quantum itself. As AI data centers increasingly shift from copper to optical networking, PsiQuantum’s photonics stack could also become foundational infrastructure for next-generation AI systems. Fault-tolerant quantum computing (FTQC) refers to quantum computers that can continue operating accurately even when individual quantum bits (“qubits”) are noisy or error-prone. Shoutout to Pete Shadbolt

Molly O’Shea

36,749 views • 3 months ago

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum

TechInnovation

26,084 views • 2 months ago