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Archive for the ‘quantum physics’ category: Page 250

Feb 22, 2022

Physicists harness electrons to make ‘synthetic dimensions’

Posted by in categories: particle physics, quantum physics

Our spatial sense doesn’t extend beyond the familiar three dimensions, but that doesn’t stop scientists from playing with whatever lies beyond.

Rice University physicists are pushing spatial boundaries in new experiments. They’ve learned to control electrons in gigantic Rydberg atoms with such precision they can create “synthetic dimensions,” important tools for .

The Rice team developed a technique to engineer the Rydberg states of ultracold strontium atoms by applying resonant microwave electric fields to couple many states together. A Rydberg state occurs when one electron in the atom is energetically bumped up to a highly , supersizing its orbit to make the atom thousands of times larger than normal.

Feb 21, 2022

Scientists Are Data Mining Black Holes to See If They Are Holograms

Posted by in categories: cosmology, holograms, quantum physics, robotics/AI

There are few places in the universe that invite as much curiosity—and terror—as the interior of a black hole. These extreme objects exert such a powerful gravitational pull that not even light can escape them, a feature that has left many properties of black holes unexplained.

Now, a team led by Enrico Rinaldi, a research scientist at the University of Michigan, have used quantum computing and deep learning to probe the bizarre innards of black holes under the framework of a mind-boggling idea called holographic duality. This idea posits that black holes, or even the universe itself, might be holograms.

Feb 21, 2022

UChicago scientists create strange quantum ‘domain walls’ in laboratory

Posted by in category: quantum physics

Feb 20, 2022

Now that the final book in The Cybernetic Theory of Mind series is released, the entire eBook series is available on Amazon all in one place!

Posted by in categories: computing, neuroscience, quantum physics, singularity, transhumanism

This is a 5-book set on the ultimate nature of reality, consciousness, physics of time, computational physics, philosophy of mind, foundations of quantum physics, technological singularity, transhumanism, impending phase transition of humanity, simulation hypothesis, economic theory, extended Gaia theory, transcendental metaphysics and God, all of which is combined into one elegant Theory of Everything.

If you’re eager to familiarize with probably the most advanced ontological framework to date or if you’re already familiar with the Syntellect Hypothesis which, with this series, is now presented to you as the full-fledged Cybernetic Theory of Mind, then this series will surely present to you some newly-introduced and updated material if compared with the originally published version and can be read as a stand-alone work just like any book of the series: https://www.amazon.com/dp/B08R2K7ZK2?tag=lifeboatfound-20

*Watch the Playlist of Trailers for all five eBooks: https://www.youtube.com/playlist?list=PLBh8LYfDZBTvd_rr8D3WlSZdwRRqQSYVX

Continue reading “Now that the final book in The Cybernetic Theory of Mind series is released, the entire eBook series is available on Amazon all in one place!” »

Feb 18, 2022

Quantum algorithms for computing observables of nonlinear partial differential equations

Posted by in categories: computing, information science, mapping, quantum physics

We construct quantum algorithms to compute physical observables of nonlinear PDEs with M initial data. Based on an exact mapping between nonlinear and linear PDEs using the level set method, these new quantum algorithms for nonlinear Hamilton-Jacobi and scalar hyperbolic PDEs can be performed with a computational cost that is independent of M, for arbitrary nonlinearity. Depending on the details of the initial data, it can also display up to exponential advantage in both the dimension of the PDE and the error in computing its observables. For general nonlinear PDEs, quantum advantage with respect to M is possible in the large M limit.

Feb 18, 2022

Inside the lab that connects brains to quantum computers

Posted by in categories: computing, neuroscience, quantum physics

Scientists at the University of Plymouth are in the early stages of developing tech that would allow humans to control quantum computers with their thoughts.

Feb 18, 2022

JPMorgan unveils research on quantum resistant blockchain network

Posted by in categories: blockchains, computing, quantum physics, security

Marco Pistoia, engineer, and head of the FLARE Research group at JPMorgan Chase emphasized the importance of building secure blockchains before quantum computing changes the “security landscape” of blockchain and crypto.

Feb 18, 2022

China releases new quantum computing software

Posted by in categories: computing, quantum physics

BEIJING, Feb. 17 (Xinhua) — China has released a new quantum computing programming software named “isQ-Core” and deployed it to the country’s superconducting quantum hardware platform.

It represents a significant step forward in the combination of home-grown quantum computing hardware and software, said its primary developer, the Institute of Software under the Chinese Academy of Sciences (CAS).

According to the institute, the isQ-Core has the advantages of simplicity, ease-of-use, high efficiency, solid scalability, and high reliability.

Feb 18, 2022

Hello (Many Quantum) World(s)

Posted by in categories: computing, quantum physics

Historically, the first program you write for a new computer language is “Hello World,” or, if you are in Texas, “Howdy World.” But with quantum computing on the horizon, you need something better. Like “Hello Many Worlds.” [IonQ] proposes what that looks like and then writes it in seven different quantum languages in a post you should check out.

Here’s the description of the simple program:

The basic quantum program we’ll write is simple. It creates a fully-entangled state between two qubits, and then measures this state. This state is sometimes called a Bell State, or Bell Pair, after physicist John Stewart Bell.

Feb 17, 2022

DeepMind Simulates Matter on the Nanoscale With Artificial Intelligence

Posted by in categories: chemistry, mapping, nanotechnology, quantum physics, robotics/AI

In a paper published by Science, DeepMind demonstrates how neural networks can improve approximation of the Density Functional (a method used to describe electron interactions in chemical systems). This illustrates deep learning’s promise in accurately simulating matter at the quantum mechanical.


In a paper published in the scientific journal Science, DeepMind demonstrates how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods.

Density Functional Theory, established in the 1960s, describes the mapping between electron density and interaction energy. For more than 50 years, the exact nature of mapping between electron density and interaction energy — the so-called density functional — has remained unknown. In a significant advancement for the field, DeepMind has shown that neural networks can be used to build a more accurate map of the density and interaction between electrons than was previously attainable.

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