Stars
Repository to held the work for the coherent state discrimination
[IJCAI'23] PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment
Witnessing multi-partite entanglement in Python.
An open source framework for programming photonic quantum computers
QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and conditional dynamics
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
Quickly process large datasets for quantum machine learning on IBM Quantum hardware by using randomised measurement.
A library for optimization on Riemannian manifolds
QDataSet: Quantum Datasets for Machine Learning
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A JIT compiler for hybrid quantum programs in PennyLane
An intuitive programming package for simulating and analyzing Clifford-dominated circuits, quant 984D um measurement, and stabilizer states with applications to many-body localization, classical shadows,…
Linear Regression as Quantum Optimization Problem
Code to accompany the manuscript "Good generalization with overparameterized quantum machine learning models via benign overfitting" (Peters and Schuld, 2022)
🧮 A collection of resources to learn mathematics for machine learning
Extension of Qiskit to support hybrid boson-qubit simulations for the NQI C2QA effort.
Approximate circuit recompilation algorithms
This repo contains the simulations found in the paper "Calculating Nash equilibrium on quantum annealers"
Implementation of self-supervised image-level contrastive pretraining methods using Keras.
Reproduce CKA: Similarity of Neural Network Representations Revisited
Efficient C implementation of Quantum Analytic Descent