UTC, ORNL to Collaborate in Quantum Information Science and Engineering
UTC, ORNL to Collaborate in Quantum Information Science and Engineering
IonQ Awarded Ground-breaking Quantum Computing Contract With Applied Research Laboratory for Intelligence and Security
IonQ Awarded Ground-breaking Quantum Computing Contract With Applied Research Laboratory for Intelligence and Security
Physicists Report New Insights Into Exotic Particles Key to Magnetism
Physicists Report New Insights Into Exotic Particles Key to Magnetism
Scientists Discover Energy and Pressure Analogies Linking Hadrons, Superconductors and Cosmic Expansion
Scientists Discover Energy and Pressure Analogies Linking Hadrons, Superconductors and Cosmic Expansion
A New Approach to Accelerate the Discovery of Quantum Materials
A New Approach to Accelerate the Discovery of Quantum Materials
Breakthrough in High-Performance Computing and Quantum Chemistry Revolutionises Drug Discovery
Breakthrough in High-Performance Computing and Quantum Chemistry Revolutionises Drug Discovery
Scientists Have Created a New Method to Validate Quantum Algorithms for Nuclear Physics Applications
Scientists from the Oak Ridge National Laboratory (ORNL) and Los Alamos National Laboratory (LANL) in the United States have created a method to validate quantum algorithms for nuclear physics applications. The newly developed method makes validating these calculations more efficient-setting the stage for quantum advances over classical calculations in this field. The research has been published recently in the European Physical Journal A.
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Enabling Nuclear Physics Discoveries with Quantum Computing
Enabling Nuclear Physics Discoveries with Quantum Computing
LANL Finds Range of Possibilities for Quantum Computing in DARPA Program
LANL Finds Range of Possibilities for Quantum Computing in DARPA Program
Researchers Studied Qubits Built From Vacancies in Silicon Carbide (SiC) Using Various Theoretical Methods
Recently, researchers from the University of Chicago and Argonne National Laboratory have studied qubits built from atomic-level vacancies in silicon carbide using theoretical methods. By combining the state-of-the-art materials simulations and neural-network-based sampling technique, the research team discovered the atomistic generation mechanism of qubits from spin defects in a wide-bandgap semiconductor. Silicon carbide is a promising semiconductor, and the qubits made from it have long coherence times and all-optical spin initialization and read-out capabilities.