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Categories: Computer Science: Quantum Computers, Mathematics: Modeling
Published Scientists deliver quantum algorithm to develop new materials and chemistry
(via sciencedaily.com) Original source Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.
Published The world is one step closer to secure quantum communication on a global scale
(via sciencedaily.com) Original source Researchers have brought together two Nobel prize-winning research concepts to advance the field of quantum communication. Scientists can now efficiently produce nearly perfect entangled photon pairs from quantum dot sources.
Published Rectifying AI's usage in the quest for thermoelectric materials
(via sciencedaily.com) Original source AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.
Published Quantum interference could lead to smaller, faster, and more energy-efficient transistors
(via sciencedaily.com) Original source Scientists made a single-molecule transistor using quantum interference to control electron flow. This new design offers high on/off ratio and stability, potentially leading to smaller, faster, and more energy-efficient devices. Quantum interference also improves the transistor's sensitivity to voltage changes, further boosting its efficiency.
Published Novel quantum algorithm for high-quality solutions to combinatorial optimization problems
(via sciencedaily.com) Original source Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers have developed a novel algorithm called post-processing variationally scheduled quantum algorithm. The novelty of this innovative algorithm lies in the use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.
Published Physicists develop modeling software to diagnose serious diseases
(via sciencedaily.com) Original source Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Verifying the work of quantum computers
(via sciencedaily.com) Original source Researchers have invented a new method by which classical computers can measure the error rates of quantum machines without having to fully simulate them.
Published Quantum talk with magnetic disks
(via sciencedaily.com) Original source Quantum computers promise to tackle some of the most challenging problems facing humanity today. While much attention has been directed towards the computation of quantum information, the transduction of information within quantum networks is equally crucial in materializing the potential of this new technology. Addressing this need, a research team is now introducing a new approach for transducing quantum information: the team has manipulated quantum bits, so called qubits, by harnessing the magnetic field of magnons -- wave-like excitations in a magnetic material -- that occur within microscopic magnetic disks.
Published Powerful new AI can predict people's attitudes to vaccines
(via sciencedaily.com) Original source A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published Where quantum computers can score
(via sciencedaily.com) Original source The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a team has shown that a certain class of such problems can actually be solved better and much faster with quantum computers than with conventional methods.
Published New technique helps AI tell when humans are lying
(via sciencedaily.com) Original source Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Vac to the future
(via sciencedaily.com) Original source Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements
(via sciencedaily.com) Original source The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation
(via sciencedaily.com) Original source Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published Staying in the loop: How superconductors are helping computers 'remember'
(via sciencedaily.com) Original source To advance neuromorphic computing, some researchers are looking at analog improvements -- advancing not just software, but hardware too. Research shows a promising new way to store and transmit information using disordered superconducting loops.
Published Satellites for quantum communications
(via sciencedaily.com) Original source Through steady advances in the development of quantum computers and their ever-improving performance, it will be possible in the future to crack our current encryption processes. To address this challenge, researchers are developing encryption methods that will apply physical laws to prevent the interception of messages. To safeguard communications over long distances, the QUICK space mission will deploy satellites.
Published Powerful new tool ushers in new era of quantum materials research
(via sciencedaily.com) Original source Research in quantum materials is paving the way for groundbreaking discoveries and is poised to drive technological advancements that will redefine the landscapes of industries like mining, energy, transportation, and medtech. A technique called time- and angle-resolved photoemission spectroscopy (TR-ARPES) has emerged as a powerful tool, allowing researchers to explore the equilibrium and dynamical properties of quantum materials via light-matter interaction.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns
(via sciencedaily.com) Original source Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Design rules and synthesis of quantum memory candidates
(via sciencedaily.com) Original source In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.
Published Balancing training data and human knowledge makes AI act more like a scientist
(via sciencedaily.com) Original source When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.