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Researchers use artificial intelligence to translate brain waves from fMRI into photos. Quantum computing breakthrough requires very little data to train AI. New deep learning framework for robotic arm art.

AI News Timestamps:
0:00 New AI Turns Brain Waves Into Photos.
3:24 Quantum Computing AI Breakthrough.
6:01 Deep Learning Robotic Arm.

Continue reading “AI Translates Brain Waves To Photos | Quantum Computing AI Breakthrough | Deep Learning Robotic Arm” »

Physicists from TU Delft, ETH Zürich and the University of Tübingen have built a quantum scale heat pump made from particles of light. This device brings scientists closer to the quantum limit of measuring radio frequency signals, which may be useful in the hunt for dark matter. Their work will be published as an open-access article in Science Advances on Aug. 26.

If you bring two objects of different temperature together, such as putting a warm bottle of white wine into a cold chill pack, heat usually flows in one direction, from hot (the wine) to cold (the chill pack). And if you wait long enough, the two will both reach the same temperature, a process known in physics as reaching equilibrium: a balance between the heat flow one way and the other.

If you are willing to do some work, you can break this balance and cause heat to flow in the “wrong” way. This is the principle used in your refrigerator to keep your food cold, and in efficient heat pumps that can steal heat from the cold air outside to warm your house. In their publication, Gary Steele and his co-authors demonstrate a quantum analog of a heat pump, causing the elementary quantum particles of light, known as photons, to move “against the flow” from a hot object to a cold one.

Interaction between glass spheres suspended in a vacuum might one day lead to advances in quantum computing.

Two-dimensional materials, which consist of a single layer of atoms, exhibit unusual properties that could be harnessed for a wide range of quantum and microelectronics systems. But what makes them truly special are their flaws.

“That’s where their true magic lies,” said Alexander Weber-Bargioni at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab).

Defects down to the atomic level can influence the material’s macroscopic function and lead to novel quantum behaviors, and there are so many kinds of defects that researchers have barely begun to understand the possibilities. One of the biggest challenges in the field is systematically studying these defects at relevant scales, or with atomic resolution.

Tohoku University scientists in Japan have developed a mathematical description of what happens within tiny magnets as they fluctuate between states when an electric current and magnetic field are applied. Their findings, published in the journal Nature Communications, could act as the foundation for engineering more advanced computers that can quantify uncertainty while interpreting complex data.

Classical computers have gotten us this far, but there are some problems that they cannot address efficiently. Scientists have been working on addressing this by engineering computers that can utilize the laws of quantum physics to recognize patterns in complex problems. But these so-called quantum computers are still in their early stages of development and are extremely sensitive to their surroundings, requiring extremely low temperatures to function.

Now, scientists are looking at something different: a concept called probabilistic computing. This type of computer, which could function at room temperature, would be able to infer potential answers from complex input. A simplistic example of this type of problem would be to infer information about a person by looking at their purchasing behavior. Instead of the computer providing a single, discrete result, it picks out patterns and delivers a good guess of what the result might be.

The NQISRCs integrate state-of-the-art DOE facilities, preeminent talent at national laboratories and U.S. universities, and the enterprising ingenuity of U.S. technology companies.

As a result, the centers are pushing the frontier of what’s possible in quantum computers, sensors, devices, materials and much more.

Physicists at the Max Planck Institute of Quantum Optics have managed to entangle more than a dozen photons efficiently and in a defined way. They are thus creating a basis for a new type of quantum computer. Their study is published in Nature.

The phenomena of the quantum world, which often seem bizarre from the perspective of the common everyday world, have long since found their way into technology. For example, entanglement: a quantum-physical connection between particles that links them in a strange way over arbitrarily long distances. It can be used, for example, in a quantum computer—a computing machine that, unlike a conventional computer, can perform numerous mathematical operations simultaneously. However, in order to use a quantum computer profitably, a large number of entangled particles must work together. They are the basic elements for calculations, so-called qubits.

“Photons, the particles of light, are particularly well suited for this because they are robust by nature and easy to manipulate,” says Philip Thomas, a doctoral student at the Max Planck Institute of Quantum Optics (MPQ) in Garching near Munich. Together with colleagues from the Quantum Dynamics Division led by Prof. Gerhard Rempe, he has now succeeded in taking an important step towards making photons usable for technological applications such as quantum computing: For the first time, the team generated up to 14 entangled photons in a defined way and with high efficiency.

“Everyone can quantum.”

Chinese multinational technology company Baidu just released its first quantum computer on Thursday. The first superconducting quantum computer, “Qian Shi” can integrate hardware, software, and many applications. Baidu also introduced the world’s first all-platform quantum hardware-software integration solution — Liang Xi — that provides access to various quantum chips via mobile app, PC, and cloud.

Qian Shi is expected to solve data that a standard computer cannot calculate and problems that cannot be solved. This development is also thought to be a breakthrough in artificial intelligence, computational biology, material simulation, and financial technology.

Continue reading “Baidu Releases Superconducting Quantum Computer and World’s First All-Platform Integration Solution, Making Quantum Computing Within Reach” »

Researchers now suggest how different realities can coexist all at once, at least when it comes to the quantum world.