Metadata-Version: 2.4
Name: tensorflow-quantum
Version: 0.7.6
Summary: Library for hybrid quantum-classical machine learning.
Home-page: https://github.com/tensorflow/quantum/
Author: The TensorFlow Quantum Authors
Author-email: tensorflow-quantum-team@google.com
License: Apache 2.0
Keywords: tensorflow machine learning quantum qml
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Quantum Computing
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: cirq-core==1.5.0
Requires-Dist: cirq-google==1.5.0
Requires-Dist: numpy<3,>=2
Requires-Dist: scipy<2,>=1.15.3
Requires-Dist: sympy==1.14
Requires-Dist: tf-keras<2.19,>=2.18
Requires-Dist: jax<0.6,>=0.5
Requires-Dist: contourpy<=1.3.2
Provides-Extra: and-tensorflow
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Provides-Extra: extras
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TensorFlow Quantum is an open source library for high performance batch
quantum computation on quantum simulators and quantum computers. The goal
of TensorFlow Quantum is to help researchers develop a deeper understanding
of quantum data and quantum systems via hybrid models.

TensorFlow Quantum was created in an ongoing collaboration between the
University of Waterloo and the Quantum AI team at Google along with help
from many other contributors within Google.
