A Quantum Inspired Deep Probabilistic Learning Model for the Inverse Design of Meta-Structures. Research AAAS & NeurIPS ML4PS.

A pipeline to generate user-preferred photo-realistic avatars using stable-diffusion and bayesian-optimization.

Hyperpatameter Bayesian Optimization for Image Classification in PyTorch

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

Uncertainty-aware Labelled Augmentations for High Dimensional Latent Space Bayesian Optimisation

Optimization of light-by-light scattering scenarios with BoTorch engine.

This repository combines Machine Learning with the Variational Quantum Eigensolver (VQE), a hybrid quantum-classical algorithm for estimating ground state energies in quantum systems, useful in quantum chemistry and physics.

OptunaのBoTorchSamplerのためのcandidates_funcの実装例および実験管理

Code for the paper: Wasserstein enabled Bayesian optimization of composite functions.

An introduction to Bayesian optimization with an example of accelerator tuning task.

This repository applies Machine Learning to Quantum Optimal Control (QOC) for preparing the highly entangled Greenberger–Horne–Zeilinger (GHZ) state.