Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...
Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Overview Quantum computing skills now influence hiring decisions across technology, finance, research, and national security sectors.Employers prefer cand ...
Abstract: In this article, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...
Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
Abstract: This article introduces the Hybrid Quantum-Classical Multi-Cut Benders’ Decomposition (HQC-Bend) algorithm, an efficient, open-source Python script designed to tackle complex Mixed-Binary ...
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