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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:

Quantinuum

13,852 subscribers

90,837 次观看 • 10 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

33 条评论

caseywilson.soq 的头像

caseywilson.soq10 个月前

Another butthole logo?

SPV Laboratories 〚CORONAVIRUS TASKFORCE〛的头像

SPV Laboratories 〚CORONAVIRUS TASKFORCE〛10 个月前

48 logical qubits? A 2:1 code? What fidelities?

Oversized Moose With Socks (xlmoose.eth) 的头像

Oversized Moose With Socks (xlmoose.eth)10 个月前

Congrats @mert

Simon | Morse 的头像

Simon | Morse10 个月前

You simply can't stop @mert . Prolific builder across industries

Vaish 的头像

Vaish10 个月前

Wow @mert good work

GorillaSkier 的头像

GorillaSkier10 个月前

How many logical qubits does $ionq have?

Eric Draven 的头像

Eric Draven10 个月前

I hope you guys IPO next year. Would be trilled to be able to buy some shares.

Alex Havryleshko 的头像

Alex Havryleshko10 个月前

It reminded me of ENIAC - when this first computer in the world was released in 1945. Look at these sizes. And decades later we have chips in the phones thousands of time more capable that ENIAC

Seth BRKV 的头像

Seth BRKV10 个月前

Available on AWS?

Mike Polich 的头像

Mike Polich10 个月前

🤯

mmm ethmatic 的头像

mmm ethmatic10 个月前

Honeywell: I guess we're doing quantum now

George Dalianis 的头像

George Dalianis10 个月前

we will be safe 🛡️with @QANplatform 💪

Athermal Compute 的头像

Athermal Compute10 个月前

Congrats on the quantum launch, but high fidelity doesn't solve the energy bottleneck for stochastic AI. You can't simulate true randomness cheaply on a deterministic machine. We don't simulate the quantum world; we use it as our engine. Athermal compute is the next frontier.

Wimukthi 的头像

Wimukthi10 个月前

And what real use does this have? None.

IF-ONLY-INVESTING 的头像

IF-ONLY-INVESTING10 个月前

Feels like @QuantinuumQC are trying to sabotage @ionq earnings call. That’s very flattering for @ionq.

Jhon Dario Medina 的头像

Jhon Dario Medina10 个月前

Congrats Quantinuum team !!!

QuantumTruth 的头像

QuantumTruth10 个月前

Respect the launch. Proposal: compare equal Cliff+T workloads incl. magic‑state factories. Our AetherStack’s Soul Hash™ → 4‑qubit harmonic verification → shows error‑free scaling—can Helios keep ~2:1 PQ:LQ at depth with MSD?

Ntokozo Thusi 的头像

Ntokozo Thusi10 个月前

api?

Deep Rese🅰️rch 的头像

Deep Rese🅰️rch10 个月前

Congratulations! I can’t wait to see the research results that come out of Helios

Y Lopez Bello 🌐 的头像

Y Lopez Bello 🌐10 个月前

@elonmusk What do you think about this?

Basil Jackson 的头像

Basil Jackson10 个月前

sorry, you lot! @grok fact check

Welcome to ROMANEUM NEWS 🌹 的头像

Welcome to ROMANEUM NEWS 🌹10 个月前

Can AI and quantum computing produce a better bitcoin to also benefit the poorest of the poor ? and if yes, how soon can it happen ? Be brief, back up with facts and math. @AskPerplexity

Musafir 的头像

Musafir10 个月前

$qanx, $ckb, $cell and $algo, thank me later

𝚠𝚘𝚕𝚏⚡️ 的头像

𝚠𝚘𝚕𝚏⚡️10 个月前

highly unlikely lol

Vu 的头像

Vu10 个月前

lets gooo

Ethereum Intern 的头像

Ethereum Intern10 个月前

congrats @mert

Arun Nadarasa 的头像

Arun Nadarasa10 个月前

🥳👏🏽

Russell Wagner 的头像

Russell Wagner8 个月前

The main benefit of productivity is its ability to create new opportunities.

MoneyUniverse 的头像

MoneyUniverse10 个月前

@grok wich stock is this?

AI News Hungama 的头像

AI News Hungama10 个月前

Impressive leap in quantum fidelity and error correction. Curious to see how Helios’ performance scales with real-world workloads and integration into enterprise or AI applications. Looking forward to benchmarks and new use cases.

Pham Phuc Lam 的头像

Pham Phuc Lam8 个月前

Misconceptions about design thinking usually stem from hype and lack of contextual understanding for students.

Lyceum 的头像

Lyceum10 个月前

Sounds impressive! Curious about those error corrections. 🤔

Lidoor L. Joseph 的头像

Lidoor L. Joseph10 个月前

Interesting design

相关视频

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

Tsarathustra

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Today we announce a new paradigm for quantum control. By integrating reinforcement learning with quantum error correction, we enabled a quantum computer to continuously adapt to drift, stabilizing the system during computation. This improved logical stability 3.5x. Learn more:

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Google Research

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We just published a peer-reviewed milestone study in Nature, demonstrating a significant advancement in quantum computing systems using our commercial-grade annealing-based quantum computer with over 5,000 qubits. The study provides evident of quantum annealing's unrivaled performance. Check out our blog and video to learn more about this groundbreaking research! Read the blog here: #QuantumComputing #DWave #QuantumAnnealing #Quantum

We just published a peer-reviewed milestone study in Nature, demonstrating a significant advancement in quantum computing systems using our commercial-grade annealing-based quantum computer with over 5,000 qubits. The study provides evident of quantum annealing's unrivaled performance. Check out our blog and video to learn more about this groundbreaking research! Read the blog here: #QuantumComputing #DWave #QuantumAnnealing #Quantum

D-Wave

10,679 次观看 • 3 年前

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."

TBPN

16,456 次观看 • 5 个月前

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!

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

19,379 次观看 • 5 个月前

QUANTUM COMPUTERS DON’T THINK FASTER - THEY THINK EVERYTHING AT ONCE A classical computer tests each possibility one at a time. A quantum computer? It runs every possibility simultaneously. With 20 qubits, it can process a million outcomes at once. With 300 qubits, it could match the number of particles in the observable universe. Now that’s next-level computing. Source: Everysci24

QUANTUM COMPUTERS DON’T THINK FASTER - THEY THINK EVERYTHING AT ONCE A classical computer tests each possibility one at a time. A quantum computer? It runs every possibility simultaneously. With 20 qubits, it can process a million outcomes at once. With 300 qubits, it could match the number of particles in the observable universe. Now that’s next-level computing. Source: Everysci24

Mario Nawfal

154,890 次观看 • 1 年前

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 次观看 • 11 个月前

$FROM 50% TO 99.7%. INFLEQTION'S QUANTUM CHIPS JUST CROSSED THE THRESHOLD THAT KEPT THEM OFF THE ROADMAP FOR YEARS -Matt, the CEO of Infleqtion, says neutral atom qubits had gate fidelities around 50% back in 2018, too low to be taken seriously. Today they're at 99.73% -Guides to 30 logical qubits by end of this year, then 100 by 2028, the level he says is needed for useful quantum computing -Notes they don't need to max out their qubit array to get there: 12 logical qubits came from a fraction of their 1,600-qubit system$

FROM 50% TO 99.7%. INFLEQTION'S QUANTUM CHIPS JUST CROSSED THE THRESHOLD THAT KEPT THEM OFF THE ROADMAP FOR YEARS -Matt, the CEO of Infleqtion, says neutral atom qubits had gate fidelities around 50% back in 2018, too low to be taken seriously. Today they're at 99.73% -Guides to 30 logical qubits by end of this year, then 100 by 2028, the level he says is needed for useful quantum computing -Notes they don't need to max out their qubit array to get there: 12 logical qubits came from a fraction of their 1,600-qubit system

WOLF

127,524 次观看 • 11 天前

Ever wonder how qubits are made? Check out this behind-the-scenes tour of the Google #QuantumAI lab and learn more about the process.

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49,205 次观看 • 2 年前

Introducing Majorana 1—the world’s first quantum processor powered by topological qubits, featuring a new state of matter. This breakthrough marks a significant step toward scalable quantum computing. Learn more: #QuantumReady

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Azure Quantum

234,101 次观看 • 1 年前

Google just told crypto to get quantum-ready by 2029. What changed: a 20x improvement to Shor’s algorithm. That takes the threat from tens of millions of qubits to ~500,000, with a possible attack window of about nine minutes. The quantum clock is ticking.

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Bankless

14,663 次观看 • 5 个月前

We sign an agreement with Pasqal, a global leader in neutral atom quantum computing, to install the first quantum computer in the Kingdom Learn more 👇 #aramco

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aramco

10,622,944 次观看 • 2 年前

Here's how you'll know quantum is a real threat to Bitcoin: One architecture doubling its logical qubits in coherence, repeatedly, on a predictable timeline. "Until we see that, there's no evidence it's coming in the next decade, or the next 20 years." - Rearden Vibes 🛩 fork/acc

Here's how you'll know quantum is a real threat to Bitcoin: One architecture doubling its logical qubits in coherence, repeatedly, on a predictable timeline. "Until we see that, there's no evidence it's coming in the next decade, or the next 20 years." - Rearden Vibes 🛩 fork/acc

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69,431 次观看 • 5 个月前

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Lenovo

9,434,004 次观看 • 8 个月前

$AMD unveils Helios, its MI450-powered AI system which CEO Lisa Su calls “the most powerful rack-scale AI infrastructure.” Helios is already in full production with shipments beginning at the end of Q3 and ramping through Q4.

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Shay Boloor

44,197 次观看 • 2 个月前

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."

Trade Whisperer

180,513 次观看 • 2 个月前

Majorana 1 is a groundbreaking quantum chip powered by a Topological Core. This innovation is built on a new class of materials called topoconductors. Topoconductors enable stable and scalable qubits—the fundamental units of quantum computing.

Majorana 1 is a groundbreaking quantum chip powered by a Topological Core. This innovation is built on a new class of materials called topoconductors. Topoconductors enable stable and scalable qubits—the fundamental units of quantum computing.

Mr_Fireside 🔥

282,190 次观看 • 1 年前

India Hits a Quantum Milestone! 🇮🇳 🇮🇳India just had a quantum breakthrough that went pretty unnoticed! 🔥 Kaveri is a 64-qubit quantum chip built in Bengaluru, and it’s the first time India has crossed 50 qubits, putting it in the same quantum league as the U.S., China, and Europe. 🔥🔥🔥

India Hits a Quantum Milestone! 🇮🇳 🇮🇳India just had a quantum breakthrough that went pretty unnoticed! 🔥 Kaveri is a 64-qubit quantum chip built in Bengaluru, and it’s the first time India has crossed 50 qubits, putting it in the same quantum league as the U.S., China, and Europe. 🔥🔥🔥

JIX5A

94,152 次观看 • 8 个月前

QUANTUM COMPUTING COULD UNLEASH THE MOST POWERFUL AI EVER BUILT. BUT WHO REALLY CONTROLS IT? The Pentagon has invested more than $150 million in quantum computing, a technology most Americans have never used, but one that could reshape artificial intelligence, drug discovery, encryption, national security, and surveillance. Quantum computers use qubits instead of ordinary binary bits. Unlike traditional bits, which are either a one or a zero, qubits can represent multiple possibilities at once. That gives quantum systems the potential to solve certain complex calculations beyond the reach of today’s computers. President Trump signed two executive orders this year to accelerate quantum development and prepare U.S. systems for quantum-era cyber threats. IBM is also working toward a machine with at least 1,000 programmable qubits, a major step toward more powerful quantum systems. The potential is enormous. Paired with AI, quantum computing could help researchers model disease, study pollution, test new materials, and examine massive problems faster than ever. But the risks are enormous too. The same technology could expand surveillance, undermine encryption, and give those who control it unprecedented power to predict and influence human behavior. The question is not just what quantum-powered AI can do. It is who controls it, and whether the public will have any protection from it. Austin Steinbart (Austin Steinbart) joins me to break down quantum computing, AI, surveillance, and what this technology could mean for society.

QUANTUM COMPUTING COULD UNLEASH THE MOST POWERFUL AI EVER BUILT. BUT WHO REALLY CONTROLS IT? The Pentagon has invested more than $150 million in quantum computing, a technology most Americans have never used, but one that could reshape artificial intelligence, drug discovery, encryption, national security, and surveillance. Quantum computers use qubits instead of ordinary binary bits. Unlike traditional bits, which are either a one or a zero, qubits can represent multiple possibilities at once. That gives quantum systems the potential to solve certain complex calculations beyond the reach of today’s computers. President Trump signed two executive orders this year to accelerate quantum development and prepare U.S. systems for quantum-era cyber threats. IBM is also working toward a machine with at least 1,000 programmable qubits, a major step toward more powerful quantum systems. The potential is enormous. Paired with AI, quantum computing could help researchers model disease, study pollution, test new materials, and examine massive problems faster than ever. But the risks are enormous too. The same technology could expand surveillance, undermine encryption, and give those who control it unprecedented power to predict and influence human behavior. The question is not just what quantum-powered AI can do. It is who controls it, and whether the public will have any protection from it. Austin Steinbart (Austin Steinbart) joins me to break down quantum computing, AI, surveillance, and what this technology could mean for society.

Ben Swann

10,547 次观看 • 13 天前

You have a quantum computer inside your skull. The most efficient biochemical electromagnetic computer ever designed, with a wider array of processing capability and adaptability than any digital supercomputer ever made Not only this, you have a consciousness with the spark of life which is not just an observer experience, but is increasingly demonstrated to exert a foundational force in the construction and projection of physical reality through interactions with probabilities in the energy fields of this universe. The latent untapped potential inside the human consciousness and mind is far more powerful than we can possibly imagine, and we are still barely leaving the stone age

You have a quantum computer inside your skull. The most efficient biochemical electromagnetic computer ever designed, with a wider array of processing capability and adaptability than any digital supercomputer ever made Not only this, you have a consciousness with the spark of life which is not just an observer experience, but is increasingly demonstrated to exert a foundational force in the construction and projection of physical reality through interactions with probabilities in the energy fields of this universe. The latent untapped potential inside the human consciousness and mind is far more powerful than we can possibly imagine, and we are still barely leaving the stone age

⟠Palis⟠🐍

158,815 次观看 • 7 个月前