Showing 20 articles starting at article 1
Categories: Mathematics: Modeling, Physics: Quantum Computing
Published Unconventional interface superconductor could benefit quantum computing
(via sciencedaily.com) Original source A multi-institutional team of scientists has developed a new superconductor material that could potentially be used in quantum computing and be a candidate 'topological superconductor.'
Published Langbeinites show talents as 3D quantum spin liquids
(via sciencedaily.com) Original source A 3D quantum spin liquid has been discovered in the vicinity of a member of the langbeinite family. The material's specific crystalline structure and the resulting magnetic interactions induce an unusual behavior that can be traced back to an island of liquidity. An international team has made this discovery with experiments at the ISIS neutron source and theoretical modelling on a nickel-langbeinite sample.
Published Kagome superconductor makes waves
(via sciencedaily.com) Original source Superconductivity theory proposed by physics team validated in international experiment: Cooper pairs display wave-like distribution in Kagome metals, enabling new technological applications like superconducting diodes.
Published Toward a code-breaking quantum computer
(via sciencedaily.com) Original source Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
Published Self-improving AI method increases 3D-printing efficiency
(via sciencedaily.com) Original source An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.
Published First visualization of valence electrons reveals fundamental nature of chemical bonding
(via sciencedaily.com) Original source The distribution of outermost shell electrons, known as valence electrons, of organic molecules was observed for the first time. As the interactions between atoms are governed by the valence electrons, the findings shine light on the fundamental nature of chemical bonds, with implications for pharmacy and chemical engineering.
Published Explanation found for X-ray radiation from black holes
(via sciencedaily.com) Original source Researchers have succeeded in something that has been pursued since the 1970s: explaining the X-ray radiation from the black hole surroundings. The radiation originates from the combined effect of the chaotic movements of magnetic fields and turbulent plasma gas.
Published Scientists harness quantum microprocessor chips for revolutionary molecular spectroscopy simulation
(via sciencedaily.com) Original source Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules.
Published Peering into the mind of artificial intelligence to make better antibiotics
(via sciencedaily.com) Original source Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.
Published AI model aids early detection of autism
(via sciencedaily.com) Original source A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science
(via sciencedaily.com) Original source A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.
Published New insight Into behavior of electrons
(via sciencedaily.com) Original source Physicists have uncovered new states of matter by exploring the behavior of flatland electrons in extreme conditions, revealing insights that could impact quantum computing and advanced materials.
Published Quantum pumping in molecular junctions
(via sciencedaily.com) Original source Researchers have developed a new theoretical modelling technique that could potentially be used in the development of switches or amplifiers in molecular electronics.
Published Advancing modular quantum information processing
(via sciencedaily.com) Original source A team of physicists envisions a modular system for scaling quantum processors with a flexible way of linking qubits over long distances to enable them to work in concert to perform quantum operations. The ability to carry out such correlated or 'entangling' operations between linked qubits is the basis of the enhanced power quantum computing holds compared with current computers.
Published Physicists throw world's smallest disco party
(via sciencedaily.com) Original source A new milestone has been set for levitated optomechanics as a group of scientists observed the Berry phase of electron spins in nano-sized diamonds levitated in vacuum.
Published In subdivided communities cooperative norms evolve more easily
(via sciencedaily.com) Original source Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions
(via sciencedaily.com) Original source Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published The mother of all motion sensors
(via sciencedaily.com) Original source Researchers have used silicon photonic microchip components to perform a quantum sensing technique called atom interferometry, an ultra-precise way of measuring acceleration. It is the latest milestone toward developing a kind of quantum compass for navigation when GPS signals are unavailable.
Published Think fast -- or not: Mathematics behind decision making
(via sciencedaily.com) Original source New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published AI poses no existential threat to humanity, new study finds
(via sciencedaily.com) Original source Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.