Research

README.md

@@ -1,55 +1,3 @@
-# TensorFlow Quantum
+# Research
 
-TensorFlow Quantum (TFQ) is a python framework for hybrid
-quantum-classical machine learning that is primarily focused on
-modeling quantum data. TFQ is an application framework developed to
-allow quantum algorithms researchers and machine learning applications
-researchers to explore computing workflows that leverage Google’s
-quantum computing offerings, all from within TensorFlow.
-
-
-## Motivation
-
-Quantum computing at Google has hit an exciting milestone with the achievment
-of [Quantum Supremacy](https://www.nature.com/articles/s41586-019-1666-5).
-In the wake of this demonstration, Google is now turning its attention to
-developing and implementing new algorithms to run on its Quantum Computer
-that have real world [applications](https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html).
-
-To provide users with the tools they need to program and simulate a quantum
-computer, Google is working on [Cirq](https://github.com/quantumlib/Cirq). Cirq
-is designed for quantum computing researchers who are interested in running and
-designing algorithms that leverage existing (imperfect) quantum computers.
-
-TensorFlow Quantum 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. With this connection we hope to unlock new and exciting paths
-for Quantum Computing research that would not have otherwise been possible.
-
-
-## Installation
-
-See the [installation instructions](https://github.com/tensorflow/quantum/blob/master/docs/install.md).
-
-
-## Examples
-
-All of our examples can be found here in the form of
-[Python notebook tutorials](https://github.com/tensorflow/quantum/tree/master/docs/tutorials)
-
-
-## Report issues
-
-Report bugs or feature requests using the
-[TensorFlow Quantum issue tracker](https://github.com/tensorflow/quantum/issues).
-
-In the meantime check out the [install instructions](./docs/install.md) to get
-the experimental code running!
-
-
-## Contributing
-
-We are eager to collaborate with you! TensorFlow Quantum is still a very young codebase,
-if you have ideas for features that you would like added feel free to check out our
-[Contributor Guidelines](https://github.com/tensorflow/quantum/blob/master/CONTRIBUTING.md)
-to get started.
+Each directory in this branch corresponds to an example application in the [TensorFlow Quantum whitepaper](https://arxiv.org/abs/2003.02989).