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.

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

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.

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