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Quantum field theory (QFT) was a crucial step in our understanding of the fundamental nature of the Universe. In its current form, however, it is poorly suited for describing composite particles, made up of multiple interacting elementary particles. Today, QFT for hadrons has been largely replaced with quantum chromodynamics, but this new framework still leaves many gaps in our understanding, particularly surrounding the nature of strong nuclear force and the origins of dark matter and dark energy. Through a new algebraic formulation of QFT, Dr Abdulaziz Alhaidari at the Saudi Center for Theoretical Physics hopes that these issues could finally be addressed.

The emergence of quantum field theory (QFT) was one of the most important developments in modern physics. By combining the theories of special relativity, quantum mechanics, and the interaction of matter via classical field equations, it provides robust explanations for many fundamental phenomena, including interactions between charged particles via the exchange of photons.

Still, QFT in its current form is far from flawless. Among its limitations is its inability to produce a precise description of composite particles such as hadrons, which are made up of multiple interacting elementary particles that are confined (cannot be observed in isolation). Since these particles possess an internal structure, the nature of these interactions becomes far more difficult to define mathematically, stretching the descriptive abilities of QFT beyond its limits.

Dr John Marshall is a leading neuroscientist and a pioneer in the signalling and synaptic trafficking fields, and has made major contributions to understanding brain injury and neurodevelopmental disorders. He received his MSc from the University of Toronto and completed his PhD training in Neurobiology at the MRC at Cambridge University, England. He worked with Professor Len Kaczmarek at Yale University. Marshall assumed his position at Brown University in 1995 and has continued to produce cutting-edge research. His lab focus is on memory and behaviour in rodent models of Angelman syndrome.

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Nvidia, the world’s largest company by value, is reportedly developing a new artificial intelligence (AI) chip based on its flagship product B200 for the China market.

The mass production of the new chip, which may be called B20, will commence later this year while shipments will start in the second quarter of next year, Reuters reported, citing sources familiar with the matter.

The report said Nvidia will work with Inspur, one of its distributors in mainland China. However, Inspur said it has not started any business and cooperation related to B20 as of now. It said the Reuters report is not true.

Quantum information systems offer faster, more powerful computing methods than standard computers to help solve many of the world’s toughest problems. Yet fulfilling this ultimate promise will require bigger and more interconnected quantum computers than scientists have yet built. Scaling quantum systems up to larger sizes, and connecting multiple systems, has proved challenging.