Lifeboat Foundation

Together, this full quantum stack pairs with familiar tools to create an integrated, streamlined environment for quantum processing.

Scalability, from top to bottom

Quantum computers can help address some of the world’s toughest problems, provided the quantum computer has enough high-quality qubits to find the solution. While the quantum systems of today may be able to add a high number of qubits, the quality of the qubits is the key factor in creating useful scale. From the cooling system to qubits to algorithms, scalability is a fundamental part of the Microsoft vision for quantum computing.

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An “operating system” for power could double the efficiency of the grid.

MIT researchers, working with scientists from Brigham and Women’s Hospital, have developed a new way to power and communicate with devices implanted deep within the human body. Such devices could be used to deliver drugs, monitor conditions inside the body, or treat disease by stimulating the brain with electricity or light.

The implants are powered by radio frequency waves, which can safely pass through human tissues. In tests in animals, the researchers showed that the waves can power devices located 10 centimeters deep in tissue, from a distance of 1 meter.

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Using the physics equivalent of the strobe photography that captures every twitch of a cheetah in full sprint, researchers have used ultrafast spectroscopy to visualize electrons interacting as a hidden state of matter in a superconductive alloy.

It takes intense, single-cycle pulses of photons—flashes—hitting the cooled alloy at terahertz speed—trillions of cycles per second—to switch on this hidden state of matter by modifying quantum interactions down at the atomic and subatomic levels.

And then it takes a second terahertz light to trigger an ultrafast camera to take images of the state of matter that, when fully understood and tuned, could one day have implications for faster, heat-free, quantum computing, information storage and communication.

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A theoretical breakthrough has shown that quantum computers are not just faster versions of ordinary computers, but something much stranger.

Although blockchain is traditionally seen as secure, it is vulnerable to attack from quantum computers. Now, a team of Russian researchers say they have developed a solution to the quantum-era blockchain challenge, using quantum key distribution (QKD).

Quantum computers are different from binary digital electronic computers based on transistors. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits, which can have more by being in superpositions of states.

Writing in the journal Quantum Science and Technology, the researchers set out a quantum-safe blockchain platform that uses QKD to achieve secure authentication.

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ASUS is moving further into the cryptocurrency hardware market with a motherboard that can support up to 20 graphics cards, which are typically used for mining. The H370 Mining Master uses PCIe-over-USB ports for what ASUS says is sturdier, simpler connectivity than other mining-focused motherboards.

You can manage each port and graphics card with on-board diagnostics. One feature scans your system when you boot up to determine the status of each port, while there are onboard LEDs that signify a problem with components such as memory or the processor (there’s space for an Intel 8th-gen Core CPU). ASUS has added some other features to optimize mining as well.

The H370 Mining Master follows last year’s B250 Mining Expert, which had room for 19 CPUs via PCIe ports. ASUS says that board had far more sales than it expected, which prompted the company to keep traveling down the crypto road and evolve its mining-tailored motherboards. The latest board will ship later this year, though ASUS has yet to announce pricing. You might need to fork over several Ethereum coins to buy enough graphics cards for all those spaces, though.

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https://www.engadget.com/…/3D-printed-brain-medical-imagin…/

There are almost limitless possibilities when it comes to 3D printing. Design your own color-changing jewelry? Fine. Fabricate your own drugs? No problem. Print an entire house in under 24 hours? Sure! Now, researchers have come up with a fast and easy way to print palm-sized models of individual human brains, presumably in a bid to advance scientific endeavours, but also because, well, that’s pretty neat.

In theory, creating a 3D printout of a human brain has been done before, using data from MRI and CT scans. But as MIT graduate Steven Keating found when he wanted to examine his own brain following his surgery to remove a baseball-sized tumour, it’s a slow, cumbersome process that doesn’t reveal any important areas of interest.

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The mind boggling discovery that time crystals were real happened just last year, and already scientists are demonstrating possible uses for them, including their potential to revolutionize quantum computer systems.