{"repo":"tensorflow/quantum","free":true,"listed":false,"github":"https://github.com/tensorflow/quantum","clone":"git clone https://github.com/tensorflow/quantum.git","description":"An open-source Python framework for hybrid quantum-classical machine learning.","language":"Python","stars":2180,"topics":["cirq","google","machine-learning","python","qml","quantum","quantum-computing","quantum-machine-learning","sdk","tensorflow"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"High-performance Python framework for hybrid quantum-classical machine learning Features – Installation – Quick Start – Getting help – Citing TFQ – Contact Features TensorFlow Quantum (TFQ) is a Python framework for hybrid quantum-classical machine learning focused on modeling quantum data. It provides users with the tools they need to interleave quantum algorithms and logic designed in Cirq with the powerful and performant ML tools from TensorFlow. Here are some of TFQ's features: Integrates with Cirq for writing quantum circuit definitions Integrates with qsim for running quantum circuit simulations Uses Keras to provide high-level abstractions for quantum machine learning constructs Provides an extensible system for automatic differentiation of quantum circuits Offers many methods for computing gradients, including parameter shift and adjoint methods Implements operations as C++ TensorFlow Ops, making them 1 st -class citizens in the TF compute graph Harnesses TensorFlow’s computational machinery to provide exceptional performance and scalability TensorFlow Quantum empowers quantum algorithms and machine learning researchers to pursue questions whose answers can only be obtained through fast simulation of many millions of moderately-sized circuits. It has already been instrumental in enabling ground-breaking research in QML by providing a seamless workflow for leveraging Google’s quantum computing offerings. Installation Please see the install","default_branch":null,"files":null,"tree":[],"storefront":"/r/tensorflow","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tensorflow/quantum/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}