Companion site for the textbook Quantum Computing: An Applied Approach
Quantum Computing Guide
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Mi…
In this work, we use LR-QAOA protocol as an easy-to-implement scalable benchmarking methodology that assesses quantum processing units (QPUs) at different widths (number of qubits) and 2-qubit gate depths.
📚 A series of jupyter notebooks dedicated to introduction to Quantum Computing
⚛ Quantum Computing, for Humans.
Solutions for the Jupyter notebook exercises for the training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
QASM256: A groundbreaking quantum-classical hybrid programming language designed for AI, secure systems, and real-time optimization, pushing the boundaries of innovation across industries.
Hybrid quantum-classical solver for large-scale weighted Max-Cut using QAOA, quantum preconditioning, and classical refinement, with real hardware validation on Rigetti Ankaa-3.
Open-source noise models for Rigetti quantum processors (Novera 9Q, Cepheus-1 36Q). Dual PyQuil/Qiskit implementations.
Quantum Programming
Microsoft Azure Quantum is Microsoft's cloud quantum computing service — an open, multi-vendor platform that provides access to quantum hardware from IonQ, Quantinuum, Pasqal, and Rigetti alongside Microsoft's own Q# programming language, Quantum Development Kit (QDK), and post-layout fault-tolerant Resource Estimator. The Azure Quantum Workspace…
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