Molecular inverse design is a classically exponential problem that could greatly benefit from quantum computing. Here, we introduce the quantum ensemble variational optimization (QEVO), a quantum ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

In this paper, we deal with the use of the earthworm optimization algorithm (EOA) in foraging to estimate and extract the intrinsic electrical parameters of single-, double-, and triple-diode solar ...

Abstract: This research presents a comparative evaluation of Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization in an energy management ...

Rapid and reversible fluorescent probe enables repeated snapshot imaging of AMPA receptors during synaptic plasticity A key advantage of quantum annealing is that, under ideal conditions, it provides ...

Abstract: To address the challenge of collaborative optimization between surface shape accuracy and stiffness of large aperture space mirrors for optical remote sensors, a multiobjective optimization ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...

The financial world is a gold mine when it comes to data-driven insights, and fintech companies are increasingly turning to Python for its capacity to handle complex portfolio optimization tasks. In ...