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As teams around the world begin to scale up quantum computing systems, the need to connect chips together increasingly appears as a bottleneck. Our UK team just demonstrated a time-encoded lab-to-lab qubit interconnect over 250m of standard telecom fiber with 99.6% ±0.2% fidelity. When combined with our ultra-low-loss edge... show more

PsiQuantum

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The Next Megacycle in Computing is Quantum—and Dynex is playing a leading role! Today, we’re proud to announce the publication of our international patent (WO/2024/231907). This is a major step in advancing neuromorphic quantum computing. Dynex’s innovation shows method and system for large-scale computation of quantum algorithms using neuromorphic quantum computing. This milestone positions Dynex as a key player in the quantum era, empowering industries to solving real world problems at scale that will define this new megacycle of computing. 🔗 Learn more:

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The difference between SEALSQ silicon-based spin-qubit QPUs and quantum processors built on superconducting circuits or trapped ions comes down to physics, manufacturability, and long-term industrial scalability. SEALSQ’s approach uses electron spins confined in silicon semiconductor structures—essentially quantum dots fabricated with CMOS-compatible processes—where the qubit is the spin state of an electron rather than a macroscopic electrical current or a free ion. This makes spin qubits orders of magnitude smaller, potentially allowing millions of qubits on a single silicon wafer, and critically aligns the technology with existing semiconductor fabs, supply chains, and design tools. In contrast, superconducting qubits rely on exotic materials and microwave resonators that are physically large, wiring-heavy, and difficult to scale beyond a few thousand qubits without massive cryogenic and control overhead. Trapped-ion systems achieve excellent qubit coherence but depend on ultra-high vacuum chambers, precision lasers, and optical alignment, making them closer to scientific instruments than manufacturable chips. Silicon spin qubits also benefit from long intrinsic coherence times (especially in isotopically purified silicon), low power dissipation, and a natural path to tight integration with classical control, cryogenic electronics, and security primitives—an area where SEALSQ’s semiconductor and hardware-security DNA becomes a strategic advantage. The trade-off is that spin qubits are technically harder to control at the single-qubit level and are earlier in large-scale deployment than superconducting systems, but if solved, they offer the most credible route to industrial-scale, cost-effective, secure quantum processors, rather than lab-scale demonstrations.

The difference between SEALSQ silicon-based spin-qubit QPUs and quantum processors built on superconducting circuits or trapped ions comes down to physics, manufacturability, and long-term industrial scalability. SEALSQ’s approach uses electron spins confined in silicon semiconductor structures—essentially quantum dots fabricated with CMOS-compatible processes—where the qubit is the spin state of an electron rather than a macroscopic electrical current or a free ion. This makes spin qubits orders of magnitude smaller, potentially allowing millions of qubits on a single silicon wafer, and critically aligns the technology with existing semiconductor fabs, supply chains, and design tools. In contrast, superconducting qubits rely on exotic materials and microwave resonators that are physically large, wiring-heavy, and difficult to scale beyond a few thousand qubits without massive cryogenic and control overhead. Trapped-ion systems achieve excellent qubit coherence but depend on ultra-high vacuum chambers, precision lasers, and optical alignment, making them closer to scientific instruments than manufacturable chips. Silicon spin qubits also benefit from long intrinsic coherence times (especially in isotopically purified silicon), low power dissipation, and a natural path to tight integration with classical control, cryogenic electronics, and security primitives—an area where SEALSQ’s semiconductor and hardware-security DNA becomes a strategic advantage. The trade-off is that spin qubits are technically harder to control at the single-qubit level and are earlier in large-scale deployment than superconducting systems, but if solved, they offer the most credible route to industrial-scale, cost-effective, secure quantum processors, rather than lab-scale demonstrations.

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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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🚨 Quantum computing just got a massive upgrade using… frozen neon. Not silicon. Not exotic superconductors. Neon. Solid. Frozen. Scientists just showed electron qubits can survive at ~400 mK (WAY warmer than usual quantum systems) while keeping coherence. That’s huge. Why it matters: • Most quantum computers need near absolute zero • Heat = noise = system failure • Scaling has been the bottleneck But this changes the game Electrons floating on solid neon stay stable Low noise High fidelity And crucially… more scalable Translation We might not need insanely extreme cooling to build real quantum machines anymore. This isn’t just a material upgrade it’s a path to practical quantum computing. The real question: What happens when stability stops being the limitation? Follow me I break down the physics behind the future.

🚨 Quantum computing just got a massive upgrade using… frozen neon. Not silicon. Not exotic superconductors. Neon. Solid. Frozen. Scientists just showed electron qubits can survive at ~400 mK (WAY warmer than usual quantum systems) while keeping coherence. That’s huge. Why it matters: • Most quantum computers need near absolute zero • Heat = noise = system failure • Scaling has been the bottleneck But this changes the game Electrons floating on solid neon stay stable Low noise High fidelity And crucially… more scalable Translation We might not need insanely extreme cooling to build real quantum machines anymore. This isn’t just a material upgrade it’s a path to practical quantum computing. The real question: What happens when stability stops being the limitation? Follow me I break down the physics behind the future.

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Lutnick: He’s got a plan to balance this budget. We’re going to take a trillion out of the waste, fraud, and abuse of all of our entitlements and all of our systems and all of our waste.

Lutnick: He’s got a plan to balance this budget. We’re going to take a trillion out of the waste, fraud, and abuse of all of our entitlements and all of our systems and all of our waste.

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Level up your quantum expertise. Enroll in our free Coursera course on quantum error correction from Google Quantum AI and become a contributor to the next era of computing. → →

Level up your quantum expertise. Enroll in our free Coursera course on quantum error correction from Google Quantum AI and become a contributor to the next era of computing. → →

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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.

🚨 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.

TheNewPhysics

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"Dynamic Heads on the marketplace must be setup to properly animate, our systems did not notice a substantial change." "our systems did not notice a substantial change." "our systems did not notice a substantial change." "our systems did not notice a substantial change."

"Dynamic Heads on the marketplace must be setup to properly animate, our systems did not notice a substantial change." "our systems did not notice a substantial change." "our systems did not notice a substantial change." "our systems did not notice a substantial change."

SpraycoatedKiwi

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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.

🚨 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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The Chinese-Russian PGI Technology group is producing FPV drone fiber optic spools up to 50km in length, for both internal and external unwinding of the optical fiber. The fiber apparently is wound using a special type of glue to hold the spool together.

The Chinese-Russian PGI Technology group is producing FPV drone fiber optic spools up to 50km in length, for both internal and external unwinding of the optical fiber. The fiber apparently is wound using a special type of glue to hold the spool together.

Roy🇨🇦

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