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The ability to process qubits is what allows a quantum computer to perform functions a binary computer simply cannot, like computations involving 500-digit numbers. To do so quickly and on demand might allow for highly efficient traffic flow. It could also render current encryption keys mere speedbumps for a computer able to replicate them in an instant. #QuantumComputing

Multiply 1,048,589 by 1,048,601, and you’ll get 1,099,551,473,989. Does this blow your mind? It should, maybe! That 13-digit prime number is the largest-ever prime number to be factored by a quantum computer, one of a series of quantum computing-related breakthroughs (or at least claimed breakthroughs) achieved over the last few months of the decade.

An IBM computer factored this very large prime number about two months after Google announced that it had achieved “quantum supremacy”—a clunky term for the claim, disputed by its rivals including IBM as well as others, that Google has a quantum machine that performed some math normal computers simply cannot.

Continue reading “The ‘Quantum Computing’ Decade Is Coming—Here’s Why You Should Care” »

Imagine a world where people could only talk to their next-door neighbor, and messages must be passed house to house to reach far destinations.

Until now, this has been the situation for the bits of hardware that make up a silicon quantum computer, a type of quantum computer with the potential to be cheaper and more versatile than today’s versions.

Now a team based at Princeton University has overcome this limitation and demonstrated that two quantum-computing components, known as silicon “spin” qubits, can interact even when spaced relatively far apart on a computer chip. The study was published in the journal Nature.

The development of technologies which can process information based on the laws of quantum physics are predicted to have profound impacts on modern society.

For example, quantum computers may hold the key to solving problems that are too complex for today’s most powerful supercomputers, and a quantum internet could ultimately protect the worlds information from malicious attacks.

However, these technologies all rely on “quantum information,” which is typically encoded in single quantum particles that are extremely difficult to control and measure.

A year marked by climate protests, political uncertainty and debate over the ethics of gene editing in human embryos proved challenging for science. But researchers also celebrated some exciting firsts — a quantum computer that can outperform its classical counterparts, a photo of a black hole and samples gathered from an asteroid.

Climate strikes, marsquakes and gaming AIs are among the year’s top stories.

Full Zoom video of Seeking Delphi™ host Mark Sackler’s interview with Strangeworks CEO, whurley, on the current state of the art in quantum computing.

John Giannandrea, Vice President of Engineering with responsibility for Google’s Computer Science Research and Machine Intelligence groups; leading teams in Machine Learning, Machine Intelligence, Computer Perception, Natural Language Understanding, and Quantum Computing, “I’m definitely not worried about the AI apocalypse, I just object to the hype and soundbites that some people are making” said at the TechCrunch Disrupt conference in San Francisco.

Google’s John Giannandrea sits down with Frederic Lardinois to discuss the AI hype/worry cycle and the importance, limitations, and acceleration of machine learning.

Infrared cameras detect people and other objects by the heat they emit. Now, researchers have discovered the uncanny ability of a material to hide a target by masking its telltale heat properties.

The effect works for a range of temperatures that one day could include humans and vehicles, presenting a future asset to stealth technologies, the researchers say.

Continue reading “Camouflage made of quantum material could hide you from infrared cameras” »

The government will inject around 50 billion roubles (US$790 million) over the next 5 years into basic and applied quantum research carried out at leading Russian laboratories, the country’s deputy prime minister, Maxim Akimov, announced on 6 December at a technology forum in Sochi. The windfall is part of a 258-billion-rouble programme for research and development in digital technologies, which the Kremlin has deemed vital for modernizing and diversifying the Russian economy.

National initiative aims to develop practical technologies that could mine databases and create ultra-secure communication networks.

Two physicists from the University of Luxembourg have now unambiguously shown that quantum-mechanical wavelike interactions are indeed crucial even at the scale of natural biological processes.

Quantum wavelike behaviour plays a key role in modern science and technology, with applications of quantum mechanics ranging from lasers and high-speed fiber communications, to quantum computers and photosynthesis in plants. A natural question is whether quantum wave phenomena could also be relevant for structure formation and dynamical processes in biological systems in living cells. This question has not been addressed convincingly up to now due to the lack of efficient quantum methods that are applicable to systems as large as whole proteins under physiological conditions (i.e. solvated in water and at room temperature).

Now writing in Science Advances, Prof. Alexandre Tkatchenko and doctoral researcher Martin Stöhr from the Department of Physics and Materials Science at the University of Luxembourg have investigated the folding process of proteins in water using a fully quantum-mechanical treatment for the first time. Protein folding is the physical process by which a chain of amino acids acquires its native biologically functional structure due to interactions between amino acids and the influence of surrounding water. A key novel finding of the present study is that the interaction between the protein and the surrounding water has to be described by quantum-mechanical wavelike behavior, which also turns out to be critical in the dynamics of the protein folding process.