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Foreign intelligence agencies and cybercriminals are stealing encrypted government files, military communications, and sensitive data. They can't read most of it today—but they're saving it for tomorrow.😯 The strategy is called "Harvest Now, Decrypt Later." The goal is simple: steal the secrets now, then wait for quantum computers powerful...

79,995 просмотров • 1 месяц назад •via X (Twitter)

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Joe Rogan just said what nobody in finance wants to hear about quantum computing. Rogan: “It’s over. Like there’s no privacy.” He’s not being hyperbolic. He’s being early. Every dollar in every bank account on Earth is protected by one thing. Math. Not vaults. Not guards. Not governments. Math problems that current computers can’t solve fast enough to break. That’s it. RSA encryption. Elliptic curve cryptography. The same math guarding your savings account guards sovereign wealth funds. Defense networks. Nuclear launch protocols. Quantum computing doesn’t pick the lock. It removes the door. A quantum system at sufficient scale breaks RSA encryption in hours. The same problem would take a classical computer longer than the age of the universe. This isn’t theoretical. Google, IBM, and China are racing toward fault-tolerant quantum systems. The timeline isn’t a century. It’s a decade. Maybe less. Rogan: “I think the real problem is the financial market. It’s all numbers, right? It’s all just ones and zeros.” He’s right. And it’s worse than he thinks. The first entity to reach that threshold doesn’t gain an advantage. They gain access. Every encrypted financial transaction ever recorded. Every classified document. Every crypto wallet. Every private key. Every medical record. Every secret ever sent over a wire becomes a postcard. China holds more quantum computing patents than any nation on Earth. Their research runs without public oversight or shareholder pressure. They’ve been harvesting encrypted Western data for years. Intelligence agencies have a name for the strategy. Harvest now, decrypt later. Rogan: “If somebody controls that before we do, if somebody breaks through with this type of technology and then just shuts all the other ones off.” If a foreign power achieves this before post-quantum encryption is deployed, there is no countermove. You can’t un-read stolen data. You can’t restore trust in a system whose entire security model became fiction overnight. People talk about AI as the defining technology of the century. They might be wrong. AI needs data and compute and infrastructure to be dangerous. Quantum computing just needs to exist. One breakthrough. One machine. One moment where the math that protects everything stops being hard enough. Most people heard Rogan and thought exaggeration. The ones paying attention heard a countdown. We built the entire modern world on one assumption. That certain math problems would stay unsolvable forever. Nobody promised us that.

Dustin

11,669 просмотров • 4 месяцев назад

How IIT Madras is Changing Global Security The End of Hacking? IIT Madras is spearheading India's push into quantum-secure communications through the IITM-C-DOT Samgnya Technologies Foundation, launched as the National Hub for Quantum Communication under the National Quantum Mission. This initiative aims to make communications "unhackable" by shifting from math-based encryption to physics-based security, countering future quantum computer threats. ​ The hub, inaugurated in December 2025 at IIT Madras Research Park, partners with C-DOT and is funded by the Department of Science and Technology (DST). It focuses on developing indigenous quantum hardware, QKD networks, quantum repeaters, and satellite-based systems to protect critical infrastructure like AI data centers and defense networks. Traditional encryption relies on complex math that quantum computers will crack in years. QKD uses quantum physics: any eavesdropping alters the quantum state, alerting the system instantly and burning the key. IIT Madras claims an edge in secure transmission over computing leaders like the US and China. ​ The hub builds real-world testbeds, subsidizes hardware for startups, trains experts, and links globally via IITM Global outposts. It positions India to lead in quantum-secure networks for sovereign AI and government use within five years. ​ IIT Madras also runs CyStar, a cybersecurity center advancing quantum security, AI model protection, and IoT defenses since 2024. This aligns with national goals for unhackable comms amid rising cyber threats. Credit : AIM Network.

Augadh

11,978 просмотров • 7 месяцев назад

$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

26,136 просмотров • 2 месяцев назад

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 просмотров • 11 месяцев назад