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A team of scientists at Freie Universität Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation in quantum chemistry. The goal of quantum chemistry is to predict chemical and physical properties of molecules based solely on the arrangement of their atoms in space, avoiding the need for resource-intensive and time-consuming laboratory experiments. In principle, this can be achieved by solving the Schrödinger equation, but in practice this is extremely difficult.

Up to now, it has been impossible to find an exact solution for arbitrary molecules that can be efficiently computed. But the team at Freie Universität has developed a deep learning method that can achieve an unprecedented combination of accuracy and computational efficiency. AI has transformed many technological and scientific areas, from computer vision to materials science. “We believe that our approach may significantly impact the future of quantum ,” says Professor Frank Noé, who led the team effort. The results were published in the reputed journal Nature Chemistry.

Central to both quantum chemistry and the Schrödinger equation is the —a mathematical object that completely specifies the behavior of the electrons in a molecule. The wave function is a high-dimensional entity, and it is therefore extremely difficult to capture all the nuances that encode how the individual electrons affect each other. Many methods of quantum chemistry in fact give up on expressing the wave function altogether, instead attempting only to determine the energy of a given molecule. This however requires approximations to be made, limiting the prediction quality of such methods.

Quantum mechanics has an exciting feature: a single event can exist in a state of superposition – happening bothhereandthere, or bothtodayandtomorrow.

Such superposition is quite challenging to create as they are easily destroyed if any information about the event’s place and time leaks into the surrounding – and even if nobody records this information. Once superposition is created, they lead to observations that are very different from that of classical physics, questioning down to our very understanding of space and time.

Recently scientists from EPFL, MIT, and CEA Saclay demonstrate a state of vibration simultaneously at two different times. They evidence this quantum superposition by measuring the strongest class of quantum correlations between light beams that interact with the vibration.

THE FINANCE industry has had a long and profitable relationship with computing. It was an early adopter of everything from mainframe computers to artificial intelligence (see timeline). For most of the past decade more trades have been done at high frequency by complex algorithms than by humans. Now big banks have their eyes on quantum computing, another cutting-edge technology.


A fundamentally new kind of computing will shake up finance—the question is when.

Finance & economics Dec 19th 2020 edition.

The crystalline solid BaTiS3 (barium titanium sulfide) is terrible at conducting heat, and it turns out that a wayward titanium atom that exists in two places at the same time is to blame.

The discovery, made by researchers from Caltech, USC, and the Department of Energy’s Oak Ridge National Laboratory (ORNL), was published on November 27 in the journal Nature Communications. It provides a fundamental atomic-level insight into an unusual thermal property that has been observed in several materials. The work is of particular interest to researchers who are exploring the potential use of crystalline solids with poor in thermoelectric applications, in which heat is directly converted into electric energy and vice versa.

“We have found that quantum mechanical effects can play a huge role in setting the thermal transport properties of materials even under familiar conditions like ,” says Austin Minnich, professor of mechanical engineering and applied physics at Caltech and co-corresponding author of the Nature Communications paper.

The journey to see future technology starts in 2022, when Elon Musk and SpaceX send the first Starship to Mars — beginning the preparations for the arrival of the first human explorers.

We see the evolution of space exploration, from NASA’s Artemis mission, humans landing on Mars, and the interplanetary internet system going online. To the launch of the Starshot Alpha Centauri program, and quantum computers designing plants that can survive on Mars.

On Earth, tech evolves with quantum computers and Neaulink chips. People begin living with bio-printed organs. Humans record every part of lives from birth. And inner speech recording becomes possible.

And what about predictions further out into the future, when humans become level 2 and level 3 civilizations. When NASA’s warp drive goes live, and Mars declares independence from Earth. Will there be Dyson structures built around stars to capture their energy. Will they help power computers that can take human consciousness and download it into a quantum computer core. Allowing humanity to travel further out into space.

Quotes about the future from: Arthur C. Clarke, Stephen Hawking, Albert Einstein, and Elon Musk.

Additional footage sourced from: NASA, SpaceX.

New research, published in Nature, has measured highly sought-after Majorana quantum states. A team of theoretical and experimental physicists have designed a new ultra-thin material that they have used to create elusive quantum states. Called one-dimensional Majorana zero energy modes, these quantum states could have a huge impact for quantum computing.

Quantum computational advantage or supremacy is a long-anticipated milestone toward practical quantum computers. Recent work claimed to have reached this point, but subsequent work managed to speed up the classical simulation and pointed toward a sample size–dependent loophole. Quantum computational advantage, rather than being a one-shot experimental proof, will be the result of a long-term competition between quantum devices and classical simulation. Zhong et al. sent 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer and sampled the output using 100 high-efficiency single-photon detectors. By obtaining up to 76-photon coincidence, yielding a state space dimension of about 1030, they measured a sampling rate that is about 1014-fold faster than using state-of-the-art classical simulation strategies and supercomputers.

Science, this issue p. 1460

Quantum computers promise to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered a strong candidate to demonstrate the quantum computational advantage. We performed Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix—the whole optical setup is phase-locked—and sampling the output using 100 high-efficiency single-photon detectors. The obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution. The photonic quantum computer, Jiuzhang, generates up to 76 output photon clicks, which yields an output state-space dimension of 1030 and a sampling rate that is faster than using the state-of-the-art simulation strategy and supercomputers by a factor of ~1014.

On December 3, Science magazine published a scientific paper by Chinese scientists on the results of experiments with a prototype quantum computer.

It was widely reported in the media that the Chinese system needed only 200 seconds to carry out a computation that would take over two billion years using the fastest supercomputer existing today.

The experiments were designed and carried out by a top-level research group led by Pan Jianwei and Lu Chaoyang of the University of Science and Technology in Hefei, China. Pan is one of the most famous Chinese physicists today, referred to once in Nature magazine as the “Father of the Quantum.”