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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...

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Owen Gregorian

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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
4:20

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 görüntüleme • 1 ay önce

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.
15:48

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 görüntüleme • 1 ay önce

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."
2:02

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 görüntüleme • 6 ay önce

“Only the simple scales: We need to make our platform as manufacturable as deployable as possible to get out to the true scale we want.” At our Investor Day, Chris Ballance, President, Quantum Computing shared this insight as he described the significance of IonQ Superion 256. Whereas quantum computing has typically controlled natural qubits with lasers, which works well in labs, scaling to hundreds, thousands, and millions of qubits requires a different approach. Instead of complex external laser setups, we’ve integrated electronic qubit control directly into the semiconductor chip. We already have ion qubits in our first prototype systems, with customer site deployments targeted for early 2027. Scale isn't just about build quality—it’s about manufacturability. Watch the full presentation → #IonQ #IonQSuperion #QuantumComputing #QuantumIsNow
1:18

“Only the simple scales: We need to make our platform as manufacturable as deployable as possible to get out to the true scale we want.” At our Investor Day, Chris Ballance, President, Quantum Computing shared this insight as he described the significance of IonQ Superion 256. Whereas quantum computing has typically controlled natural qubits with lasers, which works well in labs, scaling to hundreds, thousands, and millions of qubits requires a different approach. Instead of complex external laser setups, we’ve integrated electronic qubit control directly into the semiconductor chip. We already have ion qubits in our first prototype systems, with customer site deployments targeted for early 2027. Scale isn't just about build quality—it’s about manufacturability. Watch the full presentation → #IonQ #IonQSuperion #QuantumComputing #QuantumIsNow

IonQ

30,666 görüntüleme • 2 gün önce

Can you program a quantum computer only using pi? To celebrate pi day 2026, in this video I go through the paper "All You Need is pi: Quantum Computing with Hermitian Gates", which shows that you can construct any quantum computing operations out of quantum operations that have the special property of undoing themselves ("Hermitian gates") — and for single-qubit gates, these are entirely made of rotations of an angle of pi! Happy Pi Day 🥧 *Timestamps* 0:00 Intro 1:03 Single qubits & gates 3:11 Gates on many qubits 3:58 Quantum circuit diagrams 4:44 Universal gate set 5:54 Self-reverse gates (Hermitian) 8:08 All you need is pi? 10:14 Decomposing gates 13:14 Hardware pi pulses 14:28 Clocked quantum computers
15:36

Can you program a quantum computer only using pi? To celebrate pi day 2026, in this video I go through the paper "All You Need is pi: Quantum Computing with Hermitian Gates", which shows that you can construct any quantum computing operations out of quantum operations that have the special property of undoing themselves ("Hermitian gates") — and for single-qubit gates, these are entirely made of rotations of an angle of pi! Happy Pi Day 🥧 *Timestamps* 0:00 Intro 1:03 Single qubits & gates 3:11 Gates on many qubits 3:58 Quantum circuit diagrams 4:44 Universal gate set 5:54 Self-reverse gates (Hermitian) 8:08 All you need is pi? 10:14 Decomposing gates 13:14 Hardware pi pulses 14:28 Clocked quantum computers

Dr Maria Violaris

18,022 görüntüleme • 7 ay önce

QUANTUM COMPUTING: THE FUTURE IS NOW IBM recently announced a quantum computer capable of solving problems in minutes that would take today's supercomputers millions of years. Developed by IBM, Google, and others, quantum computers push the boundaries of science and engineering, utilizing atomic forces to achieve unprecedented computational power. A simple maze shows how quantum computing can outpace classic computers. Michio Kaku: “All the big boys who are in this race to create a workable, operationally efficient quantum computer because the nation or company that does this will rule the world economy.” Source: 60 Minutes
1:16

QUANTUM COMPUTING: THE FUTURE IS NOW IBM recently announced a quantum computer capable of solving problems in minutes that would take today's supercomputers millions of years. Developed by IBM, Google, and others, quantum computers push the boundaries of science and engineering, utilizing atomic forces to achieve unprecedented computational power. A simple maze shows how quantum computing can outpace classic computers. Michio Kaku: “All the big boys who are in this race to create a workable, operationally efficient quantum computer because the nation or company that does this will rule the world economy.” Source: 60 Minutes

Mario Nawfal

327,898 görüntüleme • 2 yıl önce

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.'
0:20

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 görüntüleme • 2 gün önce

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
3:26

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 görüntüleme • 1 yıl önce

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
13:45

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

37,164 görüntüleme • 4 ay önce

$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
17:04

$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

26,310 görüntüleme • 3 ay önce

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.
10:41

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 görüntüleme • 7 ay önce

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.
19:36

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.

Chubby♨️

22,673 görüntüleme • 3 ay önce

Quantum computers: the “NEVER” case. At StarkWare, we’re preparing for Q-Day because we believe quantum computers pose a real threat. But we want to explore every side of the debate. So Eli Ben-Sasson | Starknet.io sat down with leading quantum skeptic Gil Kalai. Enjoy the discussion 🔽 0:00 Greetings and introduction 0:46 The good old university days 2:30 Will we ever see quantum computers? 4:47 What is “noise” in quantum computing? 6:16 Why is noise such a major problem? 8:37 Can quantum computers overcome it? 10:44 Why does Gil believe quantum computers cannot be built? 15:02 Can error-correcting codes solve the noise problem? 18:30 Should Bitcoin and crypto prepare for quantum computers? 20:25 How to explore quantum computing research 24:57 AI for mathematics 28:52 Gil and Eli get philosophical (!) 31:12 Quick-fire questions 35:56 Parting words
36:41

Quantum computers: the “NEVER” case. At StarkWare, we’re preparing for Q-Day because we believe quantum computers pose a real threat. But we want to explore every side of the debate. So Eli Ben-Sasson | Starknet.io sat down with leading quantum skeptic Gil Kalai. Enjoy the discussion 🔽 0:00 Greetings and introduction 0:46 The good old university days 2:30 Will we ever see quantum computers? 4:47 What is “noise” in quantum computing? 6:16 Why is noise such a major problem? 8:37 Can quantum computers overcome it? 10:44 Why does Gil believe quantum computers cannot be built? 15:02 Can error-correcting codes solve the noise problem? 18:30 Should Bitcoin and crypto prepare for quantum computers? 20:25 How to explore quantum computing research 24:57 AI for mathematics 28:52 Gil and Eli get philosophical (!) 31:12 Quick-fire questions 35:56 Parting words

StarkWare 🥷

15,558 görüntüleme • 1 ay önce

People are losing their minds over the idea of quantum computing breaking Bitcoin, but the panic is largely detached from reality. If you listen to Eric Yakes, the fear-mongering is completely off base. The theoretical threat relies on quantum computers factoring large prime numbers fast enough to crack current cryptography. To date, the largest number a quantum computer has successfully factored is 15. "Neven's Law" says quantum power grows at a doubly exponential rate. It's a projection people are using to raise money for their projects, rather than a measurement we are seeing in real life. Compare that to Moore's Law, which we actually watched happen in real time. While physical qubits are increasing and error rates are slowly declining, there is a massive technical hurdle: error rates scale exponentially with qubit count. Adding more power creates more "noise," making the machine harder to stabilize. "But institutional capital is worried!" That's fine. Institutional capital has been wrong about Bitcoin for a decade. If they're selling on quantum FUD, that's cheap sats for the rest of us. Bitcoin devs have been on this for years and are taking steps to mitigate the risk. BIP-360 was just merged into the Bitcoin GitHub repository and Chaincode Labs has published plenty of serious research. If a real threat emerges, every stakeholder is incentivized to adopt quantum-resistant signatures and consensus won't be the obstacle people think it is. Start paying attention to what's actually being built and take your finger off the panic button. Full breakdown 👇
10:13

People are losing their minds over the idea of quantum computing breaking Bitcoin, but the panic is largely detached from reality. If you listen to Eric Yakes, the fear-mongering is completely off base. The theoretical threat relies on quantum computers factoring large prime numbers fast enough to crack current cryptography. To date, the largest number a quantum computer has successfully factored is 15. "Neven's Law" says quantum power grows at a doubly exponential rate. It's a projection people are using to raise money for their projects, rather than a measurement we are seeing in real life. Compare that to Moore's Law, which we actually watched happen in real time. While physical qubits are increasing and error rates are slowly declining, there is a massive technical hurdle: error rates scale exponentially with qubit count. Adding more power creates more "noise," making the machine harder to stabilize. "But institutional capital is worried!" That's fine. Institutional capital has been wrong about Bitcoin for a decade. If they're selling on quantum FUD, that's cheap sats for the rest of us. Bitcoin devs have been on this for years and are taking steps to mitigate the risk. BIP-360 was just merged into the Bitcoin GitHub repository and Chaincode Labs has published plenty of serious research. If a real threat emerges, every stakeholder is incentivized to adopt quantum-resistant signatures and consensus won't be the obstacle people think it is. Start paying attention to what's actually being built and take your finger off the panic button. Full breakdown 👇

Bitcoin News

15,241 görüntüleme • 8 ay önce

$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?
0:34

$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?

Investor Denis

16,337 görüntüleme • 3 ay önce