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Category: quantum physics – Page 44

Artificial Intelligence: The Definitive Primer for the Acceleration Era: Understanding AI, Technology Convergence, Cybersecurity, and the Future

Artificial intelligence is not simply another chapter in the history of technology. It is becoming the cognitive infrastructure of modern civilization. Like electricity transformed the Industrial Age and the Internet transformed the Information Age, AI will define the Intelligence Age. Its true power will not come from replacing people, but from amplifying human ingenuity through the convergence of computing, cybersecurity, robotics, quantum science, biotechnology, and human creativity. The future will belong to societies that innovate boldly, secure wisely, govern responsibly, and never lose sight of the fact that technology should ultimately serve humanity—not the other way around.

Finally! After 20 Years, Major Quantum Entanglement Theory Has Been Experimentally Confirmed

Quantum mechanics is so odd that even the visionary genius who described the secrets of the Universe seemed to dismiss certain aspects as eerie.

“Spooky action at a distance” is how Albert Einstein described quantum entanglement, a weird connection between particles that classical physics cannot explain.

From our classical perspective, it seems to allow instantaneous communication, thereby breaking the speed of light and garnering Einstein’s ire.

Scientists create an “electron lighthouse” with laser light

Scientists have created an “electron lighthouse” that uses laser light to launch and steer electrons through a semiconductor without an applied electrical field. The quantum effect could eventually improve optical sensors, communications, imaging, and information storage.

A way to read quantum bits faster and with less hardware

Quantum computers process information in a fundamentally different way from conventional computers, using quantum bits, or qubits, that can exist in multiple states at once. This could allow them to tackle problems beyond the reach of today’s machines, from simulating new materials to optimizing complex systems.

But to extract useful results from a quantum processor, researchers must reliably measure the state of each qubit, a task that remains one of the main bottlenecks in the field.

One of the leading approaches to building quantum computers uses superconducting circuits that carry current without resistance at extremely low temperatures.

Claude AI Just Cracked a PostQuantum Test Scheme and Found a Faster 7Round AES Attack

Anthropic says Claude Mythos Preview helped derive an end-to-end key-recovery attack against HAWK-256 and a 200-to 800-fold speedup for an attack on seven-round AES-128.

The HAWK attack exploits a previously unused symmetry in the lattice behind the signature scheme. Anthropic’s released implementation gives an expected end-to-end runtime of about three hours and 42 minutes on a 96-core server. The AES result removes a 256-way guessing step from an existing meet-in-the-middle attack.

Anthropic said neither result affects production systems. HAWK remains a candidate in a National Institute of Standards and Technology (NIST) post-quantum standardization process, and the public recovery code only targets the smaller HAWK-256 parameter.

Engineers observe quantum heat waves at room temperature

Efficient heat management in solids is key to advancing the next generation of electronics. However, wave-like heat movement—known as phonon focusing—had been observed only at extremely low, or cryogenic, temperatures, limiting its study and practical use.

Now, researchers at the UCLA Samueli School of Engineering have demonstrated that phonons, atomic heat-carrying vibrations with quantum properties, can travel in focused, raylike paths at room temperature. Instead of spreading uniformly in all directions, heat can move along guided pathways defined by a material’s crystal structure, opening new possibilities for managing heat flow in future electronics and quantum technologies.

The World as a Neural Network

We discuss a possibility that the entire universe on its most fundamental level is a neural network. We identify two different types of dynamical degrees of freedom: “trainable” variables (e.g., bias vector or weight matrix) and “hidden” variables (e.g., state vector of neurons). We first consider stochastic evolution of the trainable variables to argue that near equilibrium their dynamics is well approximated by Madelung equations (with free energy representing the phase) and further away from the equilibrium by Hamilton–Jacobi equations (with free energy representing the Hamilton’s principal function). This shows that the trainable variables can indeed exhibit classical and quantum behaviors with the state vector of neurons representing the hidden variables.