TechAnnouncer

Navigating the Future: A Deep Dive into Quantum Programming Languages

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing ...
IEEE

Parallel Variational Quantum Algorithms With Gradient-Informed Restart to Speed Up Optimization in the Presence of Barren Plateaus

Abstract: Inspired by the Fleming–Viot stochastic process, we propose a parallel implementation with restart of variational quantum algorithms, with the aim of reducing the time spent by the algorithm ...
IEEE

An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms

Abstract: For a multi-objective optimization problem, an inverse model approximates a mapping from the objective space to the decision space. Recently, the inverse model has been used in some ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
GitHub

davila7/claude-code-templates

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...