Jacob Cybulski

qml_workshop_intro. This workshop provides an introduction to Quantum Machine Learning using PennyLane and PyTorch, with hands-on exercises and take-home challenges. The workshop includes four practical sessions that cover the QML concepts, models, and techniques.

qml_workshop_intro_v2. This second QML workshop provides an introduction to Quantum Machine Learning using PennyLane and PyTorch, with hands-on exercises and take-home challenges. The workshop includes four practical sessions that cover the QML concepts, models, and techniques.

qml_workshop_intro_v3. This is the third QML workshop to give an introduction to Quantum Machine Learning using PennyLane and PyTorch, with hands-on exercises and take-home challenges. The workshop includes four practical sessions that cover the QML concepts, models, and techniques.

qtsa_workshop. Workshop on quantum time series analysis

r-examples. Variety of R examples

qml_abc_lab. The aim of this lab is to explore the process of developing a simple curve-fitting quantum model in Qiskit.

QGraphs. Quantum graphs

qml_bcd_lab. This is a workshop session introducing quantum machine learning for those already familiar with Quantum Computing algorithms and Qiskit.

qtutorial. A collection of quantum machine learning tutorials