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Infleqtion just demonstrated 30 logical qubits working together to help manage that noise on our Sqale quantum computer. Why does that matter? More reliable quantum computers can run longer, more complex computations. Those are the kinds of computations needed to help tackle real-world challenges, from discovering new medicines and...

165,882 次观看 • 6 天前 •via X (Twitter)

4 条评论

Mason 的头像
Mason6 天前

Looks like @QuantinuumQC $QNT wants to throw a little shade at @infleqtion $INFQ and @IonQ_Inc $IONQ 👀 Interesting timing considering Infleqtion just demonstrated 30 entangled logical qubits on actual Sqale hardware, while IonQ has been talking about real-time decoding. Quantinuum is absolutely right that a logical-qubit milestone by itself is not the same thing as full fault tolerance. But nobody said the race was finished. These are competing architectures reaching different milestones on the road toward fault tolerance. Quantum competition is getting entertaining again. 😂

Lawrence 的头像
Lawrence6 天前

Let’s make that 100 by 2027.

gary 的头像
gary6 天前

They’re also targeting 50 qubit by 2027; that goal i believe is tied to the U. of Illinois collab.

Aleksandr Dubson 的头像
Aleksandr Dubson6 天前

How about fidelity. Is it any improvement?

相关视频

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 • 1 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."

TBPN

16,456 次观看 • 6 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.

Ben Swann

10,547 次观看 • 27 天前

My 10x stock idea from GTC isn't photonics?! But it does involve lasers. Say hello to $INFQ. It's a newly IPO'd quantum stock generating tens of millions in revenue in space + defense applications with very unique technology. Infleqtion went public last month but it's trading 40% below its IPO price with a sub $2B market cap. $INFQ trades at roughly 70x trailing sales on $29M in revenue. Compare that to $RGTI at $6B market cap on just $7M in revenue, that's 860x sales. I chatted with $INFQ's Chief Administrative Officer, Julie McGee, to dig in further but here's the TLDR. Most quantum companies need to cool their chips to near absolute zero temps just to operate. Infleqtion uses "neutral atom" technology that traps individual atoms inside a glass cell using lasers and runs them at room temperature. It takes the power of a few hairdryers. No giant refrigerators. Way cheaper and way easier to scale. And unlike most quantum names they're actually shipping products NOW. Quantum clocks for GPS-denied navigation, RF sensors, inertial navigation systems. Selling to NASA, the DoD, and the UK government. Their quantum clock is being qualified by SpaceX for satellite systems. Quantum brings a whole new level of precision that works on the ground, in the sky, and underwater. Their technology can enable submarines to navigate without ever linking up to a satellite. GPS jamming is also becoming a huge problem on the battlefield, showing up in Ukraine and Iran. Quantum timing is inherently unjammable and unspoofable. They also had a dedicated spot inside the Nvidia booth at GTC. $INFQ partnered with Nvidia to demo the first commercial materials science application running on logical qubits and are working with Nvidia's NVQLink to scale quantum-classical hybrid computing. What's next: 30 logical qubits targeted this year, one of the most important milestones in the race to fault tolerant quantum computing by 2028. Plus a new NASA contract to measure Earth's gravity from space. Infleqtion combines an attractive valuation with extremely unique technology (they're the only neutral atom quantum company publicly listed). Could easily see this re-rating fast, I just think the IPO timing was poor with Iran. Could be adding this as a lottery ticket to my Asymmetrical Bets portfolio soon... This post was not sponsored or influenced in any way by $INFQ. All thoughts are my own, NFA / DYOR.

Michael Sikand

330,211 次观看 • 6 个月前

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

65,118 次观看 • 1 年前