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Quantum Approximate Optimization

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TensorFlow Quantum: A Software Framework for Quantum Machine Learning

6 Mar 2020tensorflow/quantum

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data.

META-LEARNING QUANTUM APPROXIMATE OPTIMIZATION

PennyLane: Automatic differentiation of hybrid quantum-classical computations

12 Nov 2018XanaduAI/pennylane

PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.

QUANTUM APPROXIMATE OPTIMIZATION

Learning to learn with quantum neural networks via classical neural networks

11 Jul 2019dumkar/learning-to-learn-qnn

Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still face some significant challenges.

META-LEARNING QUANTUM APPROXIMATE OPTIMIZATION

Quantum Approximation for Multi-Scale Scheduling

arXiv 2020 lytzV/QAOA

Then, for the given MWIS, the proposed QAOS designs the Hamiltonian of the problem.

QUANTUM APPROXIMATE OPTIMIZATION