A new approach to simulating the electrons of small molecules like catalysts.
Category: computing – Page 2
DATEV and IQM Quantum Computers collaborated to explore the potential of quantum computing in optimizing DATEV’s product portfolio.
The FIRETRACE collaboration is working towards resolving thermal challenges in quantum computing by improving cryogenic electronics.
Quantum computers have the potential of outperforming classical computers on some optimization tasks. Yet scaling up quantum computers leveraging existing fabrication processes while also maintaining good performances and energy-efficiencies has so far proved challenging, which in turn limits their widespread adoption.
Researchers at Quantum Motion in London recently demonstrated the integration of 1,024 independent silicon quantum dots with on-chip digital and analog electronics, to produce a quantum computing system that can operate at extremely low temperatures. This system, outlined in a paper published in Nature Electronics, links properties of devices at cryogenic temperatures with those observed at room temperature, opening new possibilities for the development of silicon qubit-based technologies.
“As quantum processors grow in complexity, new challenges arise such as the management of device variability and the interface with supporting electronics,” Edward J. Thomas, Virginia N. Ciriano-Tejel and their colleagues wrote in their paper.
While entangled photons hold incredible promise for quantum computing and communications, they have a major inherent disadvantage. After one use, they simply disappear.
In a new study, Northwestern University physicists propose a new strategy to maintain communications in a constantly changing, unpredictable quantum network. By rebuilding these disappearing connections, the researchers found the network eventually settles into a stable—albeit different—state.
The key resides in adding a sufficient number of connections to ensure the network continues to function, the researchers found. Adding too many connections comes with a high cost, overburdening the resources. But adding too few connections results in a fragmented network that cannot satisfy the user demand.
NEW MEXICO (KRQE) – The world’s largest integrated quantum computing company announced plans to expand into New Mexico.
Quantinuum’s new location will be a research and development hub aimed at advancing photonics technologies. The company is headquartered in Broomfield, Colorado. “I am thrilled to welcome Quantinuum to New Mexico, launching a new industry for our state that builds on our proud foundation of innovation,” said New Mexico Governor Michelle Lujan Grisham in a news release.
Approaches for the development of future at-scale neuromorphic systems based on principles of biointelligence are described, along with potential applications of scalable neuromorphic architectures and the challenges that need to be overcome.
A new study that provides unprecedented insights into the chemical bonding of antimony could have a profound impact on materials research. The collaboration between scientists from Leipzig University, RWTH Aachen University and the DESY synchrotron in Hamburg combined experimental measurements with theoretical calculations.
The findings will help scientists to better understand phase change materials and, in particular, improve their application in data storage and thermoelectrics. The research has now been published in Advanced Materials.
The study combined experimental measurements with theoretical calculations, with the aim of analyzing the nature and strength of the chemical bonding in antimony. “The strength of a bond depends directly on the distance between the atoms,” says Professor Claudia S. Schnohr of the Felix Bloch Institute for Solid State Physics at Leipzig University, adding that comparisons with other materials such as metals and semiconductors show that this distance dependence is characteristic of the type of chemical bond.
Sound localization is one of the many learning tasks accomplished by the brain based on the binaural signals of the ears. Here, Wu et al demonstrate in-situ learning of sound localization function using a memristor array, with dramatic improvements in energy efficiency.