O.o woah!
When we’re watching an action movie, we might think that we’re watching main characters through a bunch of explosions to an improbable happy ending, but it’s just as accurate to say that we’re watching the ‘Quantum Immortality Hypothesis’ illustrated over and over again.
Neutral atoms and charged ions can be cooled down to extremely low temperatures (i.e., to microkelvins, 1 millionth of a degree above absolute zero) using laser techniques. At these low temperatures, the particles have often been found to behave in accordance with the laws of quantum mechanics.
Researchers have been conducting laser cooling experiments on atoms and ions for decades now. So far, however, no study had observed mixtures of both atoms and ions at extremely low temperatures.
Researchers at the University of Amsterdam were the first to achieve this by placing an ion inside a cloud of lithium atoms pre-cooled to a few millionths of a kelvin. Their observations, published in Nature Physics, unveiled numerous effects that could have interesting implications for the development of new quantum technologies.
Physicists at Purdue University and the University of New South Wales have built a transistor from a single atom of phosphorous precisely placed on a bed of silicon, taking another step towards the holy grail of tech research: the quantum computer.
Revealed on Sunday in the academic journal Nature Nanotechnology, the research is part of a decade-long effort at the University of New South Wales to deliver a quantum computer – a machine that would use the seemingly magical properties of very small particles to instantly perform calculations beyond the scope of today’s classical computers.
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The bubbling, raucous quantum vacuum distorts the shape of every hydrogen atom in the universe, and it distorts antimatter “antihydrogen” too.
Austrian researchers construct what they describe as the largest fully controllable entangled quantum system to date.
Scientists have observed a new state of electronic matter on the quantum scale, one that forms when electrons clump together in transit, and it could advance our understanding and application of quantum physics.
Movement is key to this new quantum state. When electric current is applied to semiconductors or metals, the electrons inside usually travel slowly and somewhat haphazardly in one direction.
Not so in a special type of medium known as a ballistic conductor, where the movement is faster and more uniform.
Quantum computing might initially sound like a far-fetched futuristic idea, but companies such as Amazon, Google, and IBM are putting their weight behind it and preparations have begun. With quantum computing potentially within our reach, what will happen to our current security models and modern-day encryption? See what security experts are doing to prepare for quantum threats.
The future is here. Or just about. After a number of discoveries, researchers have proven that quantum computing is possible and on its way. The wider world did not pause long on this discovery: Goldman Sachs, Amazon, Google, and IBM have just announced their own intentions to embark on their own quantum developments.
Now that it’s within our reach we have to start seriously considering what that means in the real world. Certainly, we all stand to gain from the massive benefits that quantum capabilities can bring, but so do cybercriminals.
QuTech has resolved a major issue on the road toward a working large-scale quantum computer. QuTech, a collaboration of TU Delft and TNO, and Intel have designed and fabricated an integrated circuit that can controlling qubits at extremely low temperatures. This paves the way for the crucial integration of qubits and their controlling electronics in the same chip. The scientists have presented their research during the ISSCC Conference in San Francisco.
Quantum computers
“This result brings us closer to a large-scale quantum computer which can solve problems that are intractable by even the most powerful supercomputers. Solutions to those problems can make a strong impact on everyday life, for instance in the fields of medicine and energy,” said team lead Fabio Sebastiano from QuTech and the Faculty of Electrical Engineering, Mathematics and Computer Science.
Competition between the U.S. and China in quantum computing revolves, in part, around the role such a system could play in breaking the encryption that makes things secure on the internet.
Truly useful quantum computing applications could be as much as a decade away, Aaronson says. Initially, these tools would be highly specialized.
“The way I put it is that we’re now entering the very, very early, vacuum-tube era of quantum computers,” he says.
Massive-scale particle physics produces correspondingly large amounts of data – and this is particularly true of the Large Hadron Collider (LHC), the world’s largest particle accelerator, which is housed at the European Organization for Nuclear Research (CERN) in Switzerland. In 2026, the LHC will receive a massive upgrade through the High Luminosity LHC (HL-LHC) Project. This will increase the LHC’s data output by five to seven times – billions of particle events every second – and researchers are scrambling to prepare big data computing for this deluge of particle physics data. Now, researchers at Lawrence Berkeley National Laboratory are working to tackle high volumes of particle physics data with quantum computing.
When a particle accelerator runs, particle detectors offer data points for where particles crossed certain thresholds in the accelerator. Researchers then attempt to reconstruct precisely how the particles traveled through the accelerator, typically using some form of computer-aided pattern recognition.
This project, which is led by Heather Gray, a professor at the University of California, Berkeley, and a particle physicist at Berkeley Lab, is called Quantum Pattern Recognition for High-Energy Physics (or HEP.QPR). In essence, HEP.QPR aims to use quantum computing to speed this pattern recognition process. HEP.QPR also includes Berkeley Lab scientists Wahid Bhimji, Paolo Calafiura and Wim Lavrijsen.
