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Scientists Say Human Brain Simulation Is Now Possible

Life of leonard susskind;leonard susskind physics.

*Description:*
Can scientists really simulate a full human brain now? In this video, we explore the latest study claiming that supercomputers may soon be powerful enough to simulate the human brain. We break down how this new method works, why previous brain simulation projects failed, what makes this new research different, and the big ethical questions that come with it. Is this the future of neuroscience and artificial intelligence, or are we still far from creating a true digital human mind? Watch till the end to understand the science in simple words.

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Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also trigger quantum behavior by manipulating a material’s structure; for example, by stacking layers of graphene on top of each other and twisting them to create a moiré pattern, which suddenly turns them into a superconductor.

The layers can be arranged in increasingly complex ways all the way to quasicrystals and super-moiré materials. The fundamental problem is that scientists must first calculate the properties of potential new materials to predict if they could be useful. Quasicrystals, for example, are so complex they can require processing more than a quadrillion numbers—far beyond the capacity of the world’s most powerful supercomputers.

Now researchers at Aalto University’s Department of Applied Physics have shown how a quantum-inspired algorithm makes solving these colossal, non-periodic quantum materials possible in a heartbeat. The research is published in the journal Physical Review Letters as an Editor’s suggestion.

The once-theoretical skyrmion could unlock supercomputing memory

When looking to the future of information technology, researchers have pinpointed a once-theoretical particle-like structure: the skyrmion. Magnetic skyrmions are very stable structures found on micromagnetic materials that have a vortex-like spin. Because they can be moved with minimal electrical current, these structures could help develop memory to power the next generation of computing without consuming a lot of power.

But until recently, the fundamental properties of the skyrmion remained a mystery to researchers. In a paper published in Nature Communications, researchers shared new details and properties about these structures.

“Skyrmions are highly stable and move with minimal electrical current, paving the way for next-generation memory with extremely low power consumption. It’s the ultimate miniaturization, utilizing ‘world-class’ 2-nanometer structures that will allow ultra-high-density data storage and much smaller electronic devices,” said Kosuke Nakayama, a professor at Tohoku University in Sendai, Japan.

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.

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