Quantum Computing– tag –
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arXiv Paper: AI Experimentalist AIMS Achieves Uncertainty-Aware Closed-Loop Quantum Matter Discovery
arXiv International Overview An arXiv preprint introduces AIMS, an AI experimentalist that demonstrates uncertainty-aware closed-loop agency in cryogenic scanning probe quantum materials experiments. AIMS integrates perception recovery, ... -
IBM and Qedma Achieve Quantum Advantage in Materials Simulation on IBM Quantum Heron Processor, Enabling 74-Qubit Dynamics
Investing.com USA Overview IBM and Qedma Quantum Computing have demonstrated quantum advantage in simulating quantum materials using IBM’s Quantum Heron processor and Qedma’s error mitigation software. This breakthrough enables the study... -
Silicon Quantum Computing Achieves ‘Quantum Twins’ with 15,000 Qubit 2D Array on Pure Silicon
Falling Walls Science Summit Germany Overview Michelle Simmons' Silicon Quantum Computing (SQC) demonstrated the world's first 2D array quantum simulator with 15,000 precisely placed qubit registers on pure silicon. This breakthrough ena... -
Quantum Computing Reshapes Aircraft Design and Materials Science: Airbus and Rolls-Royce Embrace Technology for Unprecedented Simulation Results
TechJournal.uk UK Overview Quantum computing is fundamentally reshaping aircraft design and materials science, yielding superior results unattainable by classical software, particularly in engineering simulations. Airbus is exploring qua... -
IBM and Algorithmiq Demonstrate Quantum Advantage in Materials Simulation Beyond Classical Verification, Leveraging QESEM on Quantum Heron
IBM Newsroom USA Overview IBM and Algorithmiq demonstrated quantum advantage in simulating heterogeneous quantum materials using a new framework that establishes trust in quantum computations beyond classical verification. This breakthro... -
Quantum Machine Learning Interatomic Potential Achieves Enhanced Molecular Energy Prediction with Variational Quantum Algorithm
arXiv USA Overview This study applied quantum circuit learning to machine learning interatomic potentials (MLIPs), improving molecular dataset energy predictions. Using a quantum transfer learning architecture, the ANI model was retraine... -
University of Tennessee Secures $20M NSF Grant for ‘ATHENA’ AI-Driven Materials Lab, Poised to Accelerate Material Characterization by 30x
AI Loop USA Overview The University of Tennessee has secured a $20 million National Science Foundation (NSF) grant to establish 'ATHENA,' a new AI-driven materials lab specializing in nanoscale and atomic-scale research. As a key hub in ... -
University at Buffalo Secures DOE Genesis Grants to Accelerate AI and Quantum Technology Research in Carbon-Based Fuel Catalysts and Quantum Materials
University at Buffalo (UB) RENEW (Department of Energy Genesis Mission grants) USA Overview University at Buffalo (UB) researchers secured three DOE Genesis mission grants focused on AI and quantum technology. One project, "CLEAR-AI," is... -
Flatiron Institute Researchers Solve Quantum-Computer-Level Quantum Physics Problem on Laptop with Tensor Networks and Classical Computing
ScienceDaily USA Overview Researchers at the Simons Foundation's Flatiron Institute have solved a complex quantum physics problem, previously thought to require a quantum computer, using an ordinary laptop, advanced mathematics, and spec... -
Q-CTRL Unveils Fire Opal Quantum-Dynamics Simulator, Solving Complex Materials Science Problems 3,000x Faster than Classical Computers
Q-CTRL Australia Overview Q-CTRL has launched 'Fire Opal,' quantum computer performance management software that significantly enhances its ability to simulate complex quantum mechanical interactions in materials science. A demonstration...
