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Quantum computers are coming to break our codes faster than anyone expected

Online data is generally pretty secure. Assuming everyone is careful with passwords and other protections, you can think of it as being locked in a vault so strong that even all the world’s supercomputers, working together for 10,000 years, could not crack it.

But last month, Google and others released results suggesting a new kind of computer—a quantum computer—might be able to open the vault with significantly less resources than previously thought.

The changes are coming on two fronts. On one, tech giants such as IBM and Google are racing to build ever-larger quantum computers: IBM hopes to achieve a genuine advantage over classical computers in some special cases this year, and an even more powerful “fault-tolerant” system by 2029.

Avihu28/Quantum-Safe-Bitcoin-Transactions: A way to enable Quantum Safe Bitcoin transactions that is available today

The Cost: You don’t need a supercomputer to stay safe. A standard off-chain GPU and a few hundred dollars can “harden” your transaction against a multi-billion dollar quantum machine.


A way to enable Quantum Safe Bitcoin transactions that is available today. — avihu28/Quantum-Safe-Bitcoin-Transactions.

Scientists used 7,000 GPUs to simulate a tiny quantum chip in extreme detail

Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and interact inside an ultra-tiny chip. Unlike earlier “black box” approaches, this method captures real materials, layouts, and qubit behavior. The result is a powerful new way to spot problems early and build better quantum hardware faster.

THOR AI solves a 100-year-old physics problem in seconds

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.

World’s most advanced supercomputers decode nuclear reactor turbulence

At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, proving that the secret to a safer carbon-free future lies in mastering the math of chaos.

Researchers are advancing nuclear safety by using high-performance computing to model turbulent flow — the chaotic movement of fluids and gases that governs heat transfer and gas mixing within a reactor.

First 3D reconstruction of the face of ‘Little Foot’ completed

Identified as the most complete Australopithecus fossil discovered to date, “Little Foot” was buried in sediments whose movement and weight caused fractures and deformations, making analysis of its skull—and more particularly its face—difficult. This anatomical region, which is essential for understanding the adaptations of our ancestors and relatives to their environment, has now been virtually reconstructed for the first time by a CNRS researcher and her British and South African colleagues. These are published in Comptes Rendus Palevol.

A comparative analysis of this reconstruction with several extant great apes and three other Australopithecus specimens reveals that the face of “Little Foot” is closer in terms of size and morphology to Australopithecus specimens from eastern Africa than to those from southern Africa. This finding raises questions about the relationships between these different populations and about the chronology of the evolutionary processes that reshaped the faces of these hominins, particularly the orbital region, which appears to have been subject to strong selective pressures.

The skull was first transported to the Diamond Light Source synchrotron (United Kingdom), where it was carefully digitized. The research team then virtually isolated the bone fragments using semi-automated methods and supercomputers. Their realignment resulted in a 3D reconstruction with a resolution of 21 microns. More than five years were required to complete this reconstruction.

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