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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 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 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.

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An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it does not require extensive, time-consuming findings or markings by radiologists in the MRI images.

This federated was trained on more than 1,500 MRI scans of healthy study participants from four institutions while maintaining data privacy. The algorithm then was used to analyze more than 500 patient MRI scans to detect diseases such as multiple sclerosis, vascular disease, and various forms of brain tumors that the algorithm had never seen before. This opens up new possibilities for developing efficient AI-based federated algorithms that learn autonomously while protecting privacy. The study has now been published in the journal Nature Machine Intelligence.

Health care is currently being revolutionized by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training. The creation of such a large, central database, however, places special demands on . Additionally, the creation of the findings and annotations, for example the marking of tumors in an MRI image, is very time-consuming.

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Clean water is essential for human survival. However, less than 3% of fresh water can be used as drinking water. According to a report published by the World Meteorological Organization, there is scarcity of drinking water for approximately 1 billion people worldwide, which is expected to rise to 1.4 billion by 2050.

Seawater desalination technology, which produces from seawater, could solve the problem of water scarcity. At the Korea Institute of Science and Technology (KIST), a research team led by Dr. Kyung Guen Song from the Center for Water Cycle Research, have developed a hybrid distillation module that combines with hydrothermal heat pumps to reduce consumption during the desalination process. Their results are published in Energy Conversion and Management.

Reverse osmosis and evaporation methods are relatively common seawater desalination processes; however, these methods can operate only at high pressures and temperatures. In comparison, the membrane distillation method produces fresh water by utilizing the vapor pressure generated by the temperature difference between the flowing raw water and treated water separated by a membrane. This approach has the advantage of low energy consumption, as fresh water can be generated at pressures of 0.2–0.8 bar, which is lower than atmospheric pressure, and temperatures of 50–60℃. However, large scale operation requires more thermal energy. Thus, research studies are required to reduce the use of thermal energy for commercial operation.

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Finally, there’s the issue that black holes can destroy information. Once you have crossed the event horizon, it seems you’d need to move faster than light to get back out. But a non-local connection across the horizon would also get information out. Some physicists have even suggested that dark matter, a hypothetical type of matter that supposedly makes up 85% of matter in the universe, is really a misattribution. There may be only normal matter, it’s just that its gravitational attraction is multiplied and spread out because places are non-locally connected to each other.

A non-locally connected universe, hence, would make sense for many reasons. If these speculations are correct, the universe might be full with tiny portals that connect seemingly distant places. The physicists Fotini Markopoulou and Lee Smolin estimated that our universe could contain as much as 10,360 of such non-local connections. And since the connections are non-local anyway, it doesn’t matter that they expand with the universe. The human brain, for comparison, has a measly 1015connections.

Let me be clear that there is absolutely zero evidence that non-local connections exist, or that, if they existed, they’d indeed allow the universe to think. But we cannot rule this possibility out either. Crazy as it sounds, the idea that the universe is intelligent is compatible with all we know so far.

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NASA and SpaceX have announced the date for the upcoming Crew-5 launch to the International Space Station. The space station is also orbiting higher today to prepare for next month’s Soyuz crew vehicle swap.

The fifth crewed operational mission aboard a SpaceX Dragon spacecraft has been given a launch date of Oct. 3 from Florida’s Kennedy Space Center. The four SpaceX Crew-5 crewmates, Commander Nicole Mann, Pilot Josh Cassada, and Mission Specialists Koichi Wakata and Anna Kikina will dock Dragon Endurance to the forward port on the station’s Harmony module about 24 hours later.

Several days after that, the four SpaceX Crew-4 astronauts will enter the Dragon Freedom crew ship and undock from Harmony’s space-facing port for a parachute-assisted splashdown off the coast of Florida. Freedom Commander Kjell Lindgren, Pilot Bob Hines, with Mission Specialists Jessica Watkins and Samantha Cristoforetti, have been living and working on the orbital lab as Expedition 67 Flight Engineers since April 27.

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Blue Origin’s announcement of next weeks’ New Sheppard 23 sub-orbital flight, which will feature a NASA-funded Tipping Point hydrogen fuel cell experiment designed and manufactured by Infinity Fuel Cell and Hydrogen, Inc. It will be the first fuel cell to fly into space since the space shuttle was retired ten years ago this summer, and the first ever to fly into space on a commercial flight.

On August 31, New Shepard’s 23rd mission, a dedicated payloads flight, will fly 36 payloads from academia, research institutions, and students across the globe. The launch window opens at 8:30 AM CDT / 13:30 UTC from Launch Site One in West Texas.

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