Plenty of nations want to be the quantum computing leader, but with billions in investment flying around, coming out on top won’t be easy.
Circa 2013 o.o
Quantum entanglement, one of the odder aspects of quantum theory, links the properties of particles even when they are separated by large distances. When a property of one of a pair of entangled particles is measured, the other “immediately” settles down into a state compatible with that measurement. So how fast is “immediately”? According to research by Prof. Juan Yin and colleagues at the University of Science and Technology of China in Shanghai, the lower limit to the speed associated with entanglement dynamics – or “spooky action at a distance” – is at least 10000 times faster than light.
Despite playing a vital role in the development of quantum theory, Einstein felt philosophically at odds with its description of how the universe works. His famous quote that “God does not play dice” hints at his level of discomfort with the role of probability in quantum theory. He believed there exists another level of reality in which all of physics would be deterministic, and that quantum mechanics would turn out to be a description that emerges from the workings of that level – rather like a traffic jam emerges from the independent motions of a large number of cars.
O., o circa 2020.
Last week, Honeywell’s Quantum Solutions division released its first commercial quantum computer: a system based on trapped ions comprising 10 qubits. The H1, as it’s called, is actually the same ion trap chip the company debuted as a prototype, but with four additional ions. The company revealed a roadmap that it says will rapidly lead to much more powerful quantum computers. Separately, a competitor in ion-trap quantum computing, Maryland-based startup IonQ, unveiled a 32-qubit ion computer last month.
Long-time trapping of a single electron could allow the particle to be used as an efficient quantum bit.
A new type of quantum holography which uses entangled photons to overcome the limitations of conventional holographic approaches could lead to improved medical imaging and speed the advance of quantum information science.
Quantum Encryption, Privacy Preservation, And Blockchains — Dr. Vipul Goyal, NTT Ltd. Cryptography & Information Security Labs
Dr Vipul Goyal is a senior scientist at NTT Research (a division of Nippon Telegraph and Telephone Corporation, a telecommunications company headquartered in Tokyo, Japan.) and an Associate Professor in the Computer Science Department at Carnegie Mellon University (CMU), where he is part of the Crypto group, the theory group, a core faculty at CyLab (CMU security and privacy institute) and the faculty advisor of CMU Blockchain Group.
Superconductivity—the ability of a material to transmit an electric current without loss—is a quantum effect that, despite years of research, is still limited to very low temperatures. Now a team of scientists at the MPSD has succeeded in creating a metastable state with vanishing electrical resistance in a molecular solid by exposing it to finely tuned pulses of intense laser light. This effect had already been demonstrated in 2016 for only a very short time, but in a new study the authors of the paper have shown a far longer lifetime, nearly 10.000 times longer than before. The long lifetimes for light-induced superconductivity hold promise for applications in integrated electronics. The research by Budden et al. has been published in Nature Physics.
An intelligent material that learns by physically changing itself, similar to how the human brain works, could be the foundation of a completely new generation of computers. Radboud physicists working toward this so-called “quantum brain” have made an important step. They have demonstrated that they can pattern and interconnect a network of single atoms, and mimic the autonomous behavior of neurons and synapses in a brain. They report their discovery in Nature Nanotechnology.
Considering the growing global demand for computing capacity, more and more data centers are necessary, all of which leave an ever-expanding energy footprint. “It is clear that we have to find new strategies to store and process information in an energy efficient way,” says project leader Alexander Khajetoorians, Professor of Scanning Probe Microscopy at Radboud University.
“This requires not only improvements to technology, but also fundamental research in game changing approaches. Our new idea of building a ‘quantum brain’ based on the quantum properties of materials could be the basis for a future solution for applications in artificial intelligence.”
Mobile-phone chargers and other devices could become much smaller after an all-RIKEN team of physicists successfully shrunk an electrical component known as an inductor to microscale dimensions using a quantum effect.
