Long-time trapping of a single electron could allow the particle to be used as an efficient quantum bit.
Category: quantum physics – Page 571
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.
Previously, Dr. Goyal was a researcher in the Cryptography and Complexity group at Microsoft Research, India.
Dr. Goyal received his PhD from the University of California, Los Angeles.
Dr. Goyal is broadly interested in all areas of cryptography with a particular focus on the foundations of cryptography. Currently his research topics include secure multi-party computation, non-malleable cryptography, and foundations of blockchains.
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.
In this video I show how I made a self-organisating network of Kuramoto-style oscillators in a system undergoing metaheuristic-guided synchronization. There are also ways to visually demonstrate this with relatively simple hardware, such as using modified microelectronics, controlled using microcontroller circuits.
In this project, which I have dubbed “Feynman’s Quantum Fireflies” I program individual systems of oscillators which display discontinuous pas coupling which can be implemented in a network of transceiver circuits. Using the Path Integral Approach is one way to understand how the system behaves like a quantum thermal bath.
This example is a self-organising network of flashing optical transceiver circuits, each circuit containing and RGB LED and phototransistor.
Each circuit is programmed under a simple principle of discontinuous pas-coupling as discussed before to achieve synchronization but this results in behavior across the entire network space that is a collective emergent behavior that has not been explicitly programmed, it emerges as a discrete simulation of a pseudo-quantum system.
This emergent behavior of the network is in fact a visual demonstration of how the network regulates itself over time to the most energy efficient configuration possible, which is to the state of most uniform synchronisation.
We can understand this synchronized state as being the ground state of our whole system, which the set of oscillators wants to head towards.
A neuroinformatics expert and a quantum biophysicist are our guests on the podcast this week.
IBM has found a way to speed up some quantum computing tasks by 100 times, finishing them in hours rather than months.