Strongly correlated systems, such as transition-metal complexes, are central to catalysis and energy science, and remain challenging for classical algorithms because their ground states are not ...
Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
The scale of chemistry simulations with quantum computing has increased dramatically in just the last few months. In the latest milestone for the field, researchers from Cleveland Clinic, RIKEN, and ...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational method to calculate the ground state energy of the anti-ferromagnetic Heisenberg model. Using a ...
Previous studies have shown that tool use affects the plasticity of the body schema. In other words, people will perceive the tool as a part of their body, and thus feel like they have “longer limbs” ...
SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews KY16 9SS, United Kingdom Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 ...
Losses are ubiquitous in manipulating complex systems. They arise from our lack of control on the microscopic degrees of freedom of the system. A universal way to minimize losses is to consider ...
§ Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, United Kingdom ∥ School of Chemistry, The University of Manchester, Oxford Road, ...
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