Features
Quantum Blocks
An intermediate representation to construct and manipulate your quantum circuit and let you make own abstractions on quantum circuit in native Julia.
Differentiable
Yao supports both forward-mode (faithful gradient) and reverse-mode automatic differentiation with its builtin engine optimized specifically for quantum circuits.
Efficient
Top performance for quantum circuit simulations. Its CUDA backend and batched quantum register support can make typical quantum circuits even faster.
Extensible
Yao is designed to be extensible. Its hierarchical architecture allows you to extend the framework to support and share your new algorithm and hardware.
Open Source
Yao is provided under the Apache License 2.0, free for everyone to use.
Quick Start
Yao is a Julia Language package. To install Yao, please open Julia's interactive session (known as REPL) and press ] key in the REPL to use the package mode, then type the following command
To install stable releaseadd YaoTo install CUDA version
add CuYaoTo install current master
add Yao#masterCheck our tutorials and documentation for detailed guide of usage.
Discuss
Github Issue
The official repository of Yao
Ask questions, join discussion and development through github issues.
Issues Submit an IssueJulia Slack
#yao-dev #quantum-computing
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