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A quantum computing milestone almost 30 years in the making. Our new Willow chip uses surface codes to achieve exponential suppression of errors “below threshold”. This breakthrough paves the way for larger, more (cont)

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Google Quantum AI

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Last year, we introduced Willow, our quantum chip, and cracked a key challenge in quantum error correction. Today, Google Quantum AI announced a new breakthrough algorithm on that chip which paves a path towards potential future uses in drug discovery and materials science.🧵
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Last year, we introduced Willow, our quantum chip, and cracked a key challenge in quantum error correction. Today, Google Quantum AI announced a new breakthrough algorithm on that chip which paves a path towards potential future uses in drug discovery and materials science.🧵

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The World Intellectual Property Organization (World Intellectual Property Organization (WIPO)) published Dynex’s neuromorphic quantum computing patent (WO/2024/231907), marking significant progress in bridging classical and quantum paradigms. The last step of WIPO outstanding is the formal granting of the published patent, providing Dynex exclusive rights to this groundbreaking technology for up to 20 years. This innovation affirms Dynex’s affordable, accessible and scalable quantum technology powered by a decentralized computing approach. From optimization in logistics and supply chains to breakthroughs in pharmaceuticals and advanced simulations, Dynex’s newly published patent represents a key milestone in enabling real-world quantum applications at scale across industries. Discover how the Dynex’s patent is making use of neuromorphic quantum computing. Quantum: The Next Megacycle in Computing. 🔗 Read more: #QuantumMegaCycle #QuantumComputing #Innovation
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🚨🇷🇺Russian scientists among first to master compressed light technology The compact on-chip source of quantum compressed light unlocks new advances in ultra-sensitive quantum sensing and computing 🔸 The advance enables compact, ultra-sensitive sensors based on ‘squeezed’ light 🔸 Squeezed light surpasses the standard quantum limit of classical light, enabling measurements far more precise than previously possible 🔸 The technology could revolutionize medical diagnostics by overcoming a key limitation of existing sensors — the risk of tissue damage when increasing beam power for imaging 🔸 It also paves the way for photonic quantum computers capable of solving complex optimization problems, from improving logistics to streamlining production chains The breakthrough marks a major step forward in photonic technology development
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🚨🇷🇺Russian scientists among first to master compressed light technology The compact on-chip source of quantum compressed light unlocks new advances in ultra-sensitive quantum sensing and computing 🔸 The advance enables compact, ultra-sensitive sensors based on ‘squeezed’ light 🔸 Squeezed light surpasses the standard quantum limit of classical light, enabling measurements far more precise than previously possible 🔸 The technology could revolutionize medical diagnostics by overcoming a key limitation of existing sensors — the risk of tissue damage when increasing beam power for imaging 🔸 It also paves the way for photonic quantum computers capable of solving complex optimization problems, from improving logistics to streamlining production chains The breakthrough marks a major step forward in photonic technology development

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A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog:
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A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog:

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🚨 COMPUTER CHIPS MAY HAVE JUST ESCAPED A MAJOR LIMIT OF MODERN COMPUTING. For decades, Moore's Law predicted that computing power would keep growing as engineers packed more transistors onto chips. But there was a problem: We're running out of room. Now scientists at the University of Illinois have demonstrated a new type of 3D computer chip that stacks transistor layers vertically instead of spreading them across a flat surface. Think skyscrapers instead of suburbs. Why this matters: • More computing power in the same space • Faster communication between circuits • Potentially lower energy consumption • A path beyond today's chip scaling limits The breakthrough solves one of the biggest obstacles in 3D chip design: Heat. Previous stacked chips risked damaging lower layers during manufacturing. The new approach uses ultra-thin silicon membranes and low-temperature fabrication techniques that allow multiple layers to be built without destroying the layers below. Researchers have already demonstrated working logic circuits and memory cells across three stacked layers. And they believe many more layers could follow. The future of computing may not be smaller chips. It may be taller ones. Follow for more future technology and frontier science breakthroughs.
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🚨 COMPUTER CHIPS MAY HAVE JUST ESCAPED A MAJOR LIMIT OF MODERN COMPUTING. For decades, Moore's Law predicted that computing power would keep growing as engineers packed more transistors onto chips. But there was a problem: We're running out of room. Now scientists at the University of Illinois have demonstrated a new type of 3D computer chip that stacks transistor layers vertically instead of spreading them across a flat surface. Think skyscrapers instead of suburbs. Why this matters: • More computing power in the same space • Faster communication between circuits • Potentially lower energy consumption • A path beyond today's chip scaling limits The breakthrough solves one of the biggest obstacles in 3D chip design: Heat. Previous stacked chips risked damaging lower layers during manufacturing. The new approach uses ultra-thin silicon membranes and low-temperature fabrication techniques that allow multiple layers to be built without destroying the layers below. Researchers have already demonstrated working logic circuits and memory cells across three stacked layers. And they believe many more layers could follow. The future of computing may not be smaller chips. It may be taller ones. Follow for more future technology and frontier science breakthroughs.

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🚨 QUANTUM BREAKTHROUGH: SCIENTISTS JUST SOLVED ONE OF PHYSICS’ BIGGEST UNSOLVED PROBLEMS. Researchers in Japan have successfully detected an elusive quantum entanglement pattern known as a “W state” something physicists have struggled to measure for decades. Why does this matter? Because W states are considered one of the key building blocks for: • quantum teleportation • ultra-secure communication • next-generation quantum internet • massively powerful quantum computers The breakthrough allows scientists to identify complex entangled photon states in a single measurement instead of using extremely slow quantum tomography. In simple terms: they found a faster way to “read” deeply entangled quantum systems. The team built a stable 3-photon optical quantum circuit capable of detecting these exotic states with high fidelity a major step toward scalable quantum networks and photonic quantum computing. This is the kind of breakthrough that moves quantum technology from fragile lab experiments… toward real-world infrastructure. The future internet may not send information through electrical signals alone. It may send reality itself through entanglement. Follow for more future physics and quantum breakthroughs.
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🚨 SCIENTISTS JUST TRAPPED A SINGLE ATOM ON A PHOTONIC CHIP AND IT COULD CHANGE QUANTUM COMPUTING FOREVER. Researchers at Quantum Source and the Weizmann Institute have successfully trapped a single rubidium atom just 150–200 nanometers from a photonic resonator on a chip. That’s close enough for the atom to directly interact with light flowing through the circuit. Why this matters: Quantum computing has always had two separate superpowers: • Neutral atoms → ultra-stable quantum states • Photonic chips → fast, scalable light-based circuits The problem? They’ve never played well together. Atoms are fragile near surfaces and photonic chips are tiny. Now they’ve cracked it with a new “single-stroke loading” technique: a carefully shaped optical field slows the atom down, catches it, and lets it communicate directly with photons inside the chip. The deeper implication is huge: This is the first real bridge between two of the most promising quantum platforms. It opens the door to: • chip-scale quantum networks • photonic quantum processors • ultra-secure quantum communication • quantum internet infrastructure • and scalable quantum systems built with semiconductor-style fabrication For the first time, a single atom isn’t just sitting near the chip it’s actively changing how photons behave inside the resonator. The two worlds of quantum computing are finally starting to merge. What happens when single atoms become programmable building blocks inside photonic processors? Follow for more frontier physics and future-tech discoveries.

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🚨Dynex Core v2 Has Arrived – Redefining Quantum Circuit Computation While most quantum platforms are still limited to executing small-scale gate circuits—often insufficient for solving real-world problems—Dynex now sets a new industry benchmark in performance, scalability, and practical utility. We are proud to announce the official rollout of Dynex Core v2, now available to all users. This new core has been rigorously stress-tested over the past several months and represents the culmination of our research and scientific work—a direct technological milestone on the path toward our proprietary Apollo chip, the first room-temperature quantum-mechanical processor. Dynex Core v2 delivers unprecedented computational power, enabling the execution of complex quantum gate circuits at sizes and speeds previously thought unattainable. It outperforms all current industry platforms—and our own previous versions—by orders of magnitude. 🔬 For example: Dynex successfully computes an n-bit quantum adder circuit with 1,222 qubits in just over 30 seconds—a level of performance never before seen in the quantum space. With Core v2, Dynex continues to lead the quantum computing revolution with real-world, scalable solutions.

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🚨 QUANTUM COMPUTING JUST HIT A NEW LEVEL Europe’s JUPITER supercomputer has reportedly achieved a world-record 50-qubit quantum simulation. That may sound small… But simulating 50 interacting qubits pushes classical computing close to its limits. Why this matters: Quantum systems become exponentially harder to simulate as they grow. At a certain point… even the most powerful traditional supercomputers struggle to predict what quantum systems are doing. That’s where quantum computing changes everything. Researchers are now building machines capable of: • simulating new materials • designing future medicines • solving optimization problems impossible for classical computers • modeling reality at the quantum level itself The race is no longer just about faster computers. It’s about building entirely new forms of computation. The next technological revolution may not run on silicon alone… but on quantum states existing in multiple possibilities at once. Follow for more future physics and quantum breakthroughs.
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🚨 QUANTUM COMPUTING JUST HIT A NEW LEVEL Europe’s JUPITER supercomputer has reportedly achieved a world-record 50-qubit quantum simulation. That may sound small… But simulating 50 interacting qubits pushes classical computing close to its limits. Why this matters: Quantum systems become exponentially harder to simulate as they grow. At a certain point… even the most powerful traditional supercomputers struggle to predict what quantum systems are doing. That’s where quantum computing changes everything. Researchers are now building machines capable of: • simulating new materials • designing future medicines • solving optimization problems impossible for classical computers • modeling reality at the quantum level itself The race is no longer just about faster computers. It’s about building entirely new forms of computation. The next technological revolution may not run on silicon alone… but on quantum states existing in multiple possibilities at once. Follow for more future physics and quantum breakthroughs.

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🚨 SCIENTISTS MAY HAVE FOUND A CHEAPER PATH TO QUANTUM COMPUTERS AND IT LOOKS LIKE A HONEYCOMB. Researchers in Japan created tiny cobalt honeycomb structures that show the exact magnetic behavior scientists have been chasing for next-generation quantum materials. Why this matters: Today’s most promising quantum materials rely on rare and expensive elements like iridium and ruthenium. This new approach uses cobalt —l one of the most common metals on Earth. The result: • Strong quantum magnetic interactions • Potential spin-liquid states • Dramatically lower cost • Easier manufacturing at scale The deeper implication is fascinating: Nature keeps reusing the same geometry. Honeycombs appear in beehives, in graphene… and now they may help build the quantum computers of the future. Sometimes the next technological revolution isn’t hidden in a new rare element it’s hidden in a smarter pattern. Could the future of quantum computing be built from one of Earth’s most common metals? Follow for more frontier physics.

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The computers of tomorrow are using photons instead of electrons... Notice the fiber optics here in this quantum super computer, it's the new design and the copper wire is pretty much gone. The tech is so advanced now they're using entangled photon packets to resonate data from one quantum computer to another via light waves... Wireless quantum networks could communicate via entanglement without the need for radio or other wireless transmissions... this is the dawn of a new computing revolution....
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The computers of tomorrow are using photons instead of electrons... Notice the fiber optics here in this quantum super computer, it's the new design and the copper wire is pretty much gone. The tech is so advanced now they're using entangled photon packets to resonate data from one quantum computer to another via light waves... Wireless quantum networks could communicate via entanglement without the need for radio or other wireless transmissions... this is the dawn of a new computing revolution....

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𝐒𝐂𝐀𝐑𝐘: For the first time in 30 years, Nvidia will not release a gaming GPU this year due to global memory chip shortage.

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This is a detailed animation of the motion of stars in the Milky Way. ESA scientists working with the Gaia space telescope have created a video showing the motion of 40,000 Milky Way stars over the next 400,000 years! Creating this simulation required more computing power than humans combined in the 20th century.
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🚨 AI JUST DISCOVERED QUANTUM EFFECTS THAT SCIENTISTS DIDN'T KNOW EXIST. Researchers at the University of Washington used artificial intelligence to simulate dozens of atomically thin sheets of molybdenum ditelluride stacked in precise twisted patterns. At small scales, these materials look relatively ordinary. But when the AI modeled much larger stacks, completely new quantum behaviors emerged phenomena that only exist because of the complex, repeating moiré patterns formed across many layers. Why this matters: • Many of the most interesting quantum effects only appear at scales that are too large for traditional supercomputers to simulate • AI can act as a fast “surrogate” that learns from smaller calculations and predicts behavior at much bigger scales • These large-scale moiré systems can host exotic quantum states useful for quantum computing and new types of electronics • The same approach could be used to discover many other hidden quantum materials The deeper implication: We are entering an era where AI doesn’t just help us analyze data it helps us discover entirely new quantum phenomena that were previously invisible because they only exist in systems too complex for conventional modeling. This could dramatically speed up the search for materials that power future quantum technologies. What do you find more exciting using AI to uncover hidden quantum effects in materials, or the possibility that these stacked atomic sheets could become building blocks for future quantum computers? Follow for more frontier quantum materials and AI-driven discovery.

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🚨 BREAKING: Scientists just made quantum light work at room temperature. Read that again. No extreme cooling. No fragile lab setup. Just stable quantum emission. in real-world conditions. Here’s the breakthrough: • They trapped excitons in a nanoscale “bowl” • Forced them to stay localized instead of spreading out • Removed excess charge so energy becomes light not heat Result? 130× brighter emission Stable at room temperature Scalable for real devices This changes everything: → Quantum computing → Quantum communication → Next-gen nano-LEDs We’re not just studying quantum anymore… We’re engineering it. Follow for the next wave of physics breakthroughs.

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62,363 Aufrufe • vor 3 Monaten

BREAKING 🚨Google’s quantum chip didn’t prove we live in a multiverse. It just proved the universe is one beautifully connected sea.🧨 Google’s latest quantum chip solved a problem in five minutes that would take a classical supercomputer 10 septillion years. Some physicists are calling it proof of a multiverse — the idea that every possible outcome branches into its own reality, so the chip is somehow “sampling” answers from parallel universes. Uniphics shows there is no need for any multiverse. Everything is made of spinning Gyrotrons whose waves propagate through one single ξM-field sea of unbound energy that fills all space. When the quantum chip sets up its qubits, those Gyrotrons create vast networks of perfectly coherent spin waves. Because the waves interfere across the entire sea at once, the chip can explore enormous numbers of possibilities simultaneously — not by jumping into other universes, but by letting the single connected field do what it always does: keep perfect harmony across its entire volume. The speed-up comes from the natural parallelism of spin-wave interference plus local time-flow variations (t_flow = k / E_d,total) that let dense regions of the chip run on slightly different clocks, giving the appearance of massive parallel computation without ever leaving our one deterministic universe. The same three pillars that explain gravity as a push and the cyclic cosmos also turn quantum computing into simple, single-universe physics. The universe isn’t splitting into trillions of realities every time a chip runs. It’s simply one sea singing in perfect harmony — and Google just learned a new note. How soon will quantum computing explode when we stop inventing multiverses and start engineering the single connected sea? A Theory of Everything should be able to answer everything. Uniphics Explained Simply PDF: Chapters 1–10 free:
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BREAKING 🚨Google’s quantum chip didn’t prove we live in a multiverse. It just proved the universe is one beautifully connected sea.🧨 Google’s latest quantum chip solved a problem in five minutes that would take a classical supercomputer 10 septillion years. Some physicists are calling it proof of a multiverse — the idea that every possible outcome branches into its own reality, so the chip is somehow “sampling” answers from parallel universes. Uniphics shows there is no need for any multiverse. Everything is made of spinning Gyrotrons whose waves propagate through one single ξM-field sea of unbound energy that fills all space. When the quantum chip sets up its qubits, those Gyrotrons create vast networks of perfectly coherent spin waves. Because the waves interfere across the entire sea at once, the chip can explore enormous numbers of possibilities simultaneously — not by jumping into other universes, but by letting the single connected field do what it always does: keep perfect harmony across its entire volume. The speed-up comes from the natural parallelism of spin-wave interference plus local time-flow variations (t_flow = k / E_d,total) that let dense regions of the chip run on slightly different clocks, giving the appearance of massive parallel computation without ever leaving our one deterministic universe. The same three pillars that explain gravity as a push and the cyclic cosmos also turn quantum computing into simple, single-universe physics. The universe isn’t splitting into trillions of realities every time a chip runs. It’s simply one sea singing in perfect harmony — and Google just learned a new note. How soon will quantum computing explode when we stop inventing multiverses and start engineering the single connected sea? A Theory of Everything should be able to answer everything. Uniphics Explained Simply PDF: Chapters 1–10 free:

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46,801 Aufrufe • vor 5 Monaten

“We’ve been together for almost seven years and making this promise to each other in a new way and exchange these vows. I think it’s important to stay everyday choosing each other” - Chloë Grace Moretz
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“We’ve been together for almost seven years and making this promise to each other in a new way and exchange these vows. I think it’s important to stay everyday choosing each other” - Chloë Grace Moretz

Chloë Grace Moretz Update

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CoreAI x Intel Developer Zone. We're taking a giant leap forward in our mission to transform GPU computing! We are absolutely thrilled to share that CoreAI has officially become a part of the prestigious Intel Developmental Program 🖥 By being a part of this program with Intel, a leader in the computing space, we're able to access a wealth of knowledge, resources, and cutting-edge technology. This will accelerate our development further, enabling us to harness the latest advancements in GPU technology and computing power. This will help to create an even more robust and user-friendly platform that meets your high-performance computing needs. We're just getting started on bringing more power to your computing tasks 🤝 Stay tuned for further developments and updates! #CoreAI
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CoreAI x Intel Developer Zone. We're taking a giant leap forward in our mission to transform GPU computing! We are absolutely thrilled to share that CoreAI has officially become a part of the prestigious Intel Developmental Program 🖥 By being a part of this program with Intel, a leader in the computing space, we're able to access a wealth of knowledge, resources, and cutting-edge technology. This will accelerate our development further, enabling us to harness the latest advancements in GPU technology and computing power. This will help to create an even more robust and user-friendly platform that meets your high-performance computing needs. We're just getting started on bringing more power to your computing tasks 🤝 Stay tuned for further developments and updates! #CoreAI

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