Researchers at the Paul Scherrer Institute PSI have put forward a detailed plan of how faster and better defined quantum bits - qubits - can be created. The central elements are magnetic atoms from the class of so-called rare-earth metals, which would be selectively implanted into the crystal lattice of a material. Each of these atoms represents one qubit. The researchers have demonstrated how these qubits can be activated, entangled, used as memory bits, and read out.
Modern decision theory can assist policymakers in critical times such as the COVID-19 crisis, argue Bocconi University's Massimo Marinacci and Valentina Bosetti in a paper coauthored by Nobel laureate Lars Peter Hansen
MIT researchers have developed an automated way to design customized hardware that speeds up a robot's operation. The system, called robomorphic computing, accounts for the robot's physical layout in suggesting an optimized hardware architecture.
Researchers say they have been able to greatly improve the readout of data from digital memories - thanks to a phenomenon known as 'quantum entanglement'.
A new study highlights the progress our machines have made in replicating evolutionary processes and what this could mean for engineering design, software refinement, gaming strategy, robotics and even medicine, while fostering a deeper insight into foundational issues in biological evolution.
Research team lead by Toyohashi University of Technology have proposed a new drug to treat tuberculosis. This drug may inhibit the cell division of Mycobacterium tuberculosis (M. tuberculosis) and suppress its growth. In addition, because this drug acts on the enzymes secreted by M. tuberculosis, M. tuberculosis has very little chance of mutation and develops no drug resistance. Therefore, it's expected this drug will lead to a novel drug that will keep its effectiveness.
Computational materials science experts at the US Department of Energy's Ames Laboratory enhanced an algorithm that borrows its approach from the nesting habits of cuckoo birds, reducing the search time for new high-tech alloys from weeks to mere seconds.
The software was developed by the University of Trento. It is a new and revolutionary method to manage the accommodation of guests in hotel. RoomTetris finds the best solution, the ideal combination between demand and supply, optimizing room occupancy. A tile-matching game that no human mind, no matter how experienced and skilled, could do better, with the seriousness and scientific rigor of a mathematical demonstration
The model will enhance the robustness of networks to adversarial attacks and will benefit both practitioners and organizations.
Research led by scientists at the University of Toronto and Northwestern University employs machine learning to craft the best building blocks in the assembly of reticular framework materials for use in a targeted application. The findings demonstrate that the use of artificial intelligence approaches can help in proposing novel materials for diverse applications such as clean energy, sensoring and biomedicine, by accelerating the design cycle for materials.