Pinned Repositories
2024-04-09_nus_quantum_optimization
cvar_quantum_optimization
Supporting material for https://arxiv.org/abs/1907.04769
qiskit-machine-learning
Quantum Machine Learning
qiskit-machine-learning-demo
Demo Notebook for connecting Qiskit Machine Learning and PyTorch
qiskit-optimization
Quantum Optimization
Qiskit-primtives-bell-state
qiskit-tutorials
A collection of Jupyter notebooks using Qiskit
qiskit_optimization_circuits
Notebook on quantum circuits for optimization
qiskit_tutorial
Simple tutorial to get familiar with how to program quantum computers using Qiskit
quantum_reinforcement_learning
stefan-woerner's Repositories
stefan-woerner/qiskit_tutorial
Simple tutorial to get familiar with how to program quantum computers using Qiskit
stefan-woerner/cvar_quantum_optimization
Supporting material for https://arxiv.org/abs/1907.04769
stefan-woerner/qiskit_optimization_circuits
Notebook on quantum circuits for optimization
stefan-woerner/Qiskit-primtives-bell-state
stefan-woerner/2024-04-09_nus_quantum_optimization
stefan-woerner/qiskit-machine-learning
Quantum Machine Learning
stefan-woerner/qiskit-machine-learning-demo
Demo Notebook for connecting Qiskit Machine Learning and PyTorch
stefan-woerner/qiskit-optimization
Quantum Optimization
stefan-woerner/qiskit-tutorials
A collection of Jupyter notebooks using Qiskit
stefan-woerner/quantum_reinforcement_learning
stefan-woerner/uimp_csic_2020_summer_school_on_quantum_computing
Jupiter notebook on quantum optimization used for the UIMP/CSIC online summer school on quantum computing
stefan-woerner/2022_07_13_kit_or_seminar
stefan-woerner/Fraunhofer-Dec-13-2021
Notebooks for Fraunhofer Workshop on December 13, 2021.
stefan-woerner/hello_qiskit
Simple tutorial to get familiar with how to program quantum computers using Qiskit
stefan-woerner/provable_bounds_cvar
Data and code for "Provable bounds for noise-free expectation values computed from noisy samples" (https://arxiv.org/abs/2312.00733)
stefan-woerner/qiskit
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
stefan-woerner/qiskit-aer
Aer is a high performance simulator for quantum circuits that includes noise models
stefan-woerner/qiskit-aqua
Aqua provides a library and tools to build applications for Noisy Intermediate-Scale Quantum (NISQ) computers.
stefan-woerner/qiskit-finance
Quantum Finance
stefan-woerner/qiskit-ibmq-provider
Qiskit Provider for accessing the quantum devices and simulators at IBMQ
stefan-woerner/qiskit-ignis
Ignis provides tools for quantum hardware verification, noise characterization, and error correction.
stefan-woerner/qiskit-machine-learning-demo-1
Demo Notebook for connecting Qiskit Machine Learning and PyTorch
stefan-woerner/qiskit-nature
Quantum Nature
stefan-woerner/qiskit-terra
Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.
stefan-woerner/qiskit-tutorials-community