Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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Updated
May 29, 2024 - Python
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Digital-analog quantum programming interface
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A differentiable bridge between phase space and Fock space
Fermionic Machine Learning python package built on PennyLane
scikit-learn interface for quantum algorithms
The Swiss Army Knife of Applied Quantum Technology
Variational Quantum Linear Solver without Barren Plateaus
scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.
Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
Executor plugin interfacing Covalent with Amazon Braket Hybrid Jobs
Executor plugin interfacing Covalent with Slurm
Tensor Network algorithms implemented in python.
Tensor network based quantum software framework for the NISQ era
QuantumFlow: A Quantum Algorithms Development Toolkit
Qdna-lib aim to pioneer advancements that not only push the boundaries of quantum computing but also provide benefits to the field of data science and artificial intelligence.
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