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Post-Alcubierre Warp-Drives

Researchers are actively exploring and revising the concept of Alcubierre warp drive, as well as alternative approaches, to potentially make superluminal travel feasible with reduced energy requirements and advanced technologies ## ## Questions to inspire discussion.

Practical Warp Drive Concepts.

🚀 Q: What is the Alcubierre warp drive? A: The Alcubierre warp drive (1994) is a superluminal travel concept within general relativity, using a warp bubble that contracts space in front and expands behind the spacecraft.

🌌 Q: How does Jose Natario’s warp drive differ from Alcubierre’s? A: Natario’s warp drive (2001) describes the warp bubble as a soliton and vector field, making it harder to visualize but potentially more mathematically robust.

🔬 Q: What is unique about Chris Van Den Broeck’s warp drive? A: Van Den Broeck’s warp drive (1999) uses a nested warp field, creating a larger interior than exterior, similar to a TARDIS, while remaining a physical solution within general relativity. Energy Requirements and Solutions.

💡 Q: How do Eric Lent’s hyperfast positive energy warp drives work? A: Lent’s warp drives (2020) are solitons capable of superluminal travel using purely positive energy densities, reopening discussions on conventional physics-based superluminal mechanisms.

Advanced algorithm to study catalysts on material surfaces could lead to better batteries

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials.

Scientists and engineers study the that happen on the surface of materials to develop more energy efficient batteries, capacitors, and other devices. But accurately simulating these fundamental interactions requires immense computing power to fully capture the geometrical and chemical intricacies involved, and current methods are just scratching the surface.

“Currently it’s prohibitive and there’s no supercomputer in the world that can do an analysis like that,” says Siddharth Deshpande, an assistant professor in the University of Rochester’s Department of Chemical Engineering. “We need clever ways to manage that large data set, use intuition to understand the most important interactions on the surface, and apply data-driven methods to reduce the sample space.”

How AI & Supercomputing Are Reshaping Aerospace & Finance w/ Allan Grosvenor (MSBAI)

Excellent Podcast interview Allan Grosvenor!
” How Allan built MSBAI to make super computing more accessible.

How AI-driven simulation is speeding up aircraft & spacecraft design.

Why AI is now making an impact in finance & algorithmic trading.

The next evolution of AI-powered decision-making & autonomous systems”


What if AI could power everything from rocket simulations to Wall Street trading? Allan Grosvenor, aerospace engineer and founder of MSBAI, has spent years developing AI-driven supercomputing solutions for space, aviation, defense, and even finance. In this episode, Brent Muller dives deep with Allan on how AI is revolutionizing engineering, the role of supercomputers in aerospace, and why automation is the key to unlocking faster innovation.

“China’s Quantum Leap Unveiled”: New Quantum Processor Operates 1 Quadrillion Times Faster Than Top Supercomputers, Rivalling Google’s Willow Chip

IN A NUTSHELL 🚀 Chinese scientists have developed the Zuchongzhi 3.0 quantum processor, which is significantly faster than the world’s top supercomputers. 🔍 The processor features 105 superconducting qubits and demonstrates unprecedented speed, completing tasks in seconds that would take traditional supercomputers billions of years. 💡 With enhanced coherence time, gate fidelity, and error correction.

How physicists used antimatter, supercomputers and giant magnets to solve a 20-year-old mystery

Physicists are always searching for new theories to improve our understanding of the universe and resolve big unanswered questions.

But there’s a problem. How do you search for undiscovered forces or particles when you don’t know what they look like?

Take . We see signs of this mysterious cosmic phenomenon throughout the universe, but what could it possibly be made of? Whatever it is, we’re going to need new physics to understand what’s going on.

New quantum battery design promises nanoscale energy storage

In the coming years, batteries so tiny yet powerful could revolutionize everything from smartphones to supercomputers.

Energy storage is about to take a massive leap forward, with the new concept of “topological quantum battery” at the forefront.

A theoretical study by researchers at the RIKEN Center for Quantum Computing and Huazhong University of Science and Technology has shown how to efficiently design a quantum battery.

Star quakes and monster shock waves: Researchers simulate a black hole consuming a neutron star

Across the cosmos, many stars can be found in pairs, gracefully circling one another. Yet one of the most dramatic pairings occurs between two orbiting black holes, formed after their massive progenitor stars exploded in supernova blasts. If these black holes lie close enough together, they will ultimately collide and form an even more massive black hole.

Sometimes a black hole is orbited by a neutron star—the dense corpse of a star also formed from a supernova explosion but which contains less mass than a black hole. When these two bodies finally merge, the black hole will typically swallow the neutron star whole.

To better understand the extreme physics underlying such a grisly demise, researchers at Caltech are using supercomputers to simulate black hole–neutron star collisions. In one study appearing in The Astrophysical Journal Letters, the team, led by Elias Most, a Caltech assistant professor of theoretical astrophysics, developed the most detailed simulation yet of the violent quakes that rupture a neutron star’s surface roughly a second before the black hole consumes it.

Supercomputer simulation reveals how merging neutron stars form black holes and powerful jets

Merging neutron stars are excellent targets for multi-messenger astronomy. This modern and still very young method of astrophysics coordinates observations of the various signals from one and the same astrophysical source. When two neutron stars collide, they emit gravitational waves, neutrinos and radiation across the entire electromagnetic spectrum. To detect them, researchers need to add gravitational wave detectors and neutrino telescopes to ordinary telescopes that capture light.

Precise models and predictions of the expected signals are essential in order to coordinate these observatories, which are very different in nature.

“Predicting the multi-messenger signals from binary neutron star mergers from first principles is extremely difficult. We have now succeeded in doing just that,” says Kota Hayashi, a postdoctoral researcher in the Computational Relativistic Astrophysics department at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in the Potsdam Science Park. “Using the Fugaku supercomputer in Japan, we have performed the longest and most complex simulation of a binary neutron star to date.”

Accelerating the arrival of fault-tolerant quantum computers with next-generation materials

A research study led by Oxford University has developed a powerful new technique for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. This could end a decades-long search for inexpensive materials that can host unique quantum particles, ultimately facilitating the mass production of quantum computers.

The results have been published in the journal Science.

Quantum computers could unlock unprecedented computational power far beyond current supercomputers. However, the performance of quantum computers is currently limited, due to interactions with the environment degrading the quantum properties (known as quantum decoherence). Physicists have been searching for materials resistant to quantum decoherence for decades, but the search has proved experimentally challenging.

Global first: Quantum computer generates bits of unpredictable randomness

Back in 2018, a scientist from the University of Texas at Austin proposed a protocol to generate randomness in a way that could be certified as truly unpredictable. That scientist, Scott Aaronson, now sees that idea become a working reality. “When I first proposed my certified randomness protocol in 2018, I had no idea how long I’d need to wait to see an experimental demonstration of it,” said Aaronson, who now directs a quantum center at a major university.

The experiment was carried out on a cutting-edge 56-qubit quantum computer, accessed remotely over the internet. The machine belongs to a company that recently made a significant upgrade to its system. The research team included experts from a large bank’s tech lab, national research centers, and universities.

To generate certified randomness, the team used a method called random circuit sampling, or RCS. The idea is to feed the quantum computer a series of tough problems, known as challenge circuits. The computer must solve them by choosing among many possible outcomes in a way that’s impossible to predict. Then, classical supercomputers step in to confirm whether the answers are genuinely random or not.