IEEE

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Abstract: The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for solving combinatorial optimization problems on near-term quantum hardware. However, its practical deployment ...
GitHub

QAOAKit: A Toolkit for Reproducible Application and Verification of QAOA

Note that current implementation requires significant amounts of RAM (~5GB) as it loads the entire dataset into memory. Linux and macOS are currently supported. pip ...
GitHub

ArunSehrawat/Quantum_Approximate_Optimization_Algorithm_for_Quadratic_Unconstrained_Binary_Optimization_PyTorch

In the attached Jupyter notebook, I have presented the Quantum Approximate Optimization Algorithm (QAOA) [1] for a Quadratic Unconstrained Binary Optimization (QUBO) problem. A QUBO belongs to the ...
IEEE

A QAOA-Based Heuristic to Hide Sensitive Itemsets

The benefits of sharing transactional data with upstream supply chain partners has been known for a long time. However, many retailers are still reluctant to share, and there is evidence that the ...