Lifeboat Foundation

Researchers have investigated the capability of known quantum computing algorithms for fault-tolerant quantum computing to simulate the laser-driven electron dynamics of excitation and ionization processes in small molecules. Their research is published in the Journal of Chemical Theory and Computation.

“These quantum computer algorithms were originally developed in a completely different context. We used them here for the first time to calculate electron densities of molecules, in particular their dynamic evolution after excitation by a light pulse,” says Annika Bande, who heads a group on theoretical chemistry at Helmholtz Association of German Research Centers (HZB). Bande and Fabian Langkabel, who is doing his doctorate with her, show in the study how well this works.

“We developed an algorithm for a fictitious, completely error-free quantum computer and ran it on a classical server simulating a quantum computer of ten qubits,” says Langkabel. The scientists limited their study to smaller molecules in order to be able to perform the calculations without a real quantum computer and to compare them with conventional calculations.

By Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner

Creators are increasingly using Qiskit to make works of quantum art. And, combined with the Raspberry Pi, you have a unique platform to create portable installations beyond the realm of your laptop.

For this project, Wiktor Mazin, Jan-Rainer Lahmann, Emil Reinert and Bengt Wegner teamed up to demonstrate quantum fractals on the Raspberry Pi. We hope to show how to get creative with quantum computers thanks to the portability and ease-of-use of the RasQberry project, while providing a short guide on how you can create your own fractal animations using python code with Qiskit, both via a direct link and via an install on a Raspberry Pi.

Circa 2020 Basically this means a magnetic transistor can have not only quantum properties but also it can have nearly infinite speeds for processing speeds. Which means we can have nanomachines with near infinite speeds eventually.

Abstract The discovery of spin superfluidity in antiferromagnetic superfluid 3He is a remarkable discovery associated with the name of Andrey Stanislavovich Borovik-Romanov. After 30 years, quantum effects in a magnon gas (such as the magnon Bose–Einstein condensate and spin superfluidity) have become quite topical. We consider analogies between spin superfluidity and superconductivity. The results of quantum calculations using a 53-bit programmable superconducting processor have been published quite recently[1]. These results demonstrate the advantage of using the quantum algorithm of calculations with this processor over the classical algorithm for some types of calculations. We consider the possibility of constructing an analogous (in many respecys) processor based on spin superfluidity.

A new proposal seeks to solve the paradox of quantum spin.

A simulated version of Paris where universities and telecommunication hubs are connected by a quantum communication network suggests that existing technology is already nearing the ability to create functional “quantum cities”.

According to the Standard Model of Particle Physics, the Universe is governed by four fundamental forces: electromagnetism, the weak nuclear force, the strong nuclear force, and gravity. Whereas the first three are described by Quantum Mechanics, gravity is described by Einstein’s Theory of General Relativity. Surprisingly, gravity is the one that presents the biggest challenges to physicists. While the theory accurately describes how gravity works for planets, stars, galaxies, and clusters, it does not apply perfectly at all scales.

While General Relativity has been validated repeatedly over the past century (starting with the Eddington Eclipse Experiment in 1919), gaps still appear when scientists try to apply it at the quantum scale and to the Universe as a whole. According to a new study led by Simon Fraser University, an international team of researchers tested General Relativity on the largest of scales and concluded that it might need a tweak or two. This method could help scientists to resolve some of the biggest mysteries facing astrophysicists and cosmologists today.

The team included researchers from Simon Fraser, the Institute of Cosmology and Gravitation at the University of Portsmouth, the Center for Particle Cosmology at the University of Pennsylvania, the Osservatorio Astronomico di Roma, the UAM-CSIC Institute of Theoretical Physics, Leiden University’s Institute Lorentz, and the Chinese Academy of Sciences (CAS). Their results appeared in a paper titled “Imprints of cosmological tensions in reconstructed gravity,” recently published in Nature Astronomy.

Realizing that matter and energy are quantized is important, but quantum particles isn’t the full story; quantum fields are needed, too.

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Continue reading “Loop Quantum Gravity Explained” »

Researchers at Penn Engineering have created a chip that outstrips the security and robustness of existing quantum communications hardware. Their technology communicates in “qudits,” doubling the quantum information space of any previous on-chip laser.

Liang Feng, Professor in the Departments of Materials Science and Engineering (MSE) and Electrical Systems and Engineering (ESE), along with MSE postdoctoral fellow Zhifeng Zhang and ESE Ph.D. student Haoqi Zhao, debuted the technology in a recent study published in Nature. The group worked in collaboration with scientists from the Polytechnic University of Milan, the Institute for Cross-Disciplinary Physics and Complex Systems, Duke University and the City University of New York (CUNY).