Algorithm 2 provides the pseudocode outlining the training regimen for the QCBM model. This process delineates the iterative optimization of the QCBM parameters. 1:Initialize:QCBM model with a certain number of qubits and layers 2:Set:Parameterized quantum state\(\left\vert \psi (\theta )\righ...
The current research with QIMH algorithm provides a methodology for real time corona virus analysis from its prodigious parameters.doi:10.1016/j.compeleceng.2021.107356Vithya GanesanM. SobhanaG. AnuradhaPachipala YellammaO. Rama DeviKolla Bhanu Prakash...
Yıldız, A. R., & Sait, S. M. (2021). Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the levy flight algorithm for design optimization in industry.Materials Testing,63(4), 356–359. ...
Algorithm II:Recently, we refined the procedure to be more general by computingVfromab initioGaussian CIS Hamiltonian elements, while continuing to useDas a fitting parameter. The typicalab initio Vvalues are in the range 200–1000cm−1, which would give rates 4×102to 104times those with ...
Depth optimization of quantum search algorithms beyond Grover's algorithm. Phys Rev A. 2020;101:032346. https://doi.org/10.1103/PhysRevA.101.032346. Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and ...
(2019) proposed a hybrid system that combined an online sequential model of extreme learning machine (ELM) with the krill herd (KH) optimization technique. Their system was compared with a recurrent backpropagation neural network (RBPNN) and the ELM algorithm using four currency pairs (SGD/INR,...
Atom computing and Microsoft ran an algorithm with 28 logical qubits on a 256-qubit device. Quantinuum and Microsoft prepared entangled states of 12 logical qubits on a 56-qubit device. However, so far in these devices it has not been possible to perform more than a few rounds of error sy...
In QCT 2021 we introduce a new algorithm through the command Purify2RDM that purifies the 2-RDM to obey an important set of N-representability conditions. Purify2RDM uses an advanced type of optimization, known as semidefinite programming, to project the 2-RDM onto the set of approximately N...
The docking study has been performed by AutoDock Vina [33], which uses a Lamarckian genetic algorithm (GA) in combination with grid-based energy estimation, to check the docking accuracy of software we have performed re-docking to the co-crystal bound ligand. To find the effective inhibitors...
A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19). MedRxiv. 2020. Yadav SS, Jadhav SM. Deep convolutional neural network based medical image classification for disease diagnosis. J Big Data. 2019;6:113. Article Google Scholar Nguyen G, Dlugolinsky S...