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XACC is an extensible compilation framework for hybrid quantum-classical computing architectures. It provides extensible language frontend and hardware backend compilation components glued together via a novel quantum intermediate representation. XACC currently supports quantum-classical programming and enables the execution of quantum kernels on IBM, Rigetti, and D-Wave QPUs, as well as a number of quantum computer simulators.
Click 
[example C++ executables are in build/quantum/examples/*]
$ build/quantum/examples/qasm/deuteron_from_qasm
[example Python scripts are in python/examples/*]
$ python3 python/examples/deuteronH2.py
[run some XACC benchmarks]
$ python3 -m xacc --benchmark python/benchmark/chemistry/benchmarks/nah_ucc1.ini All code is here and you can quickly start developing. We recommend
turning on file auto-save by clicking File > Auto Save .
Note the Gitpod free account provides 100 hours of use for the month, so if
you foresee needing more time, we recommend our nightly docker images.
The XACC nightly docker images also serve an Eclipse Theia IDE (the same IDE Gitpod uses) on port 3000. To get started, run
$ docker run --security-opt seccomp=unconfined --init -it -p 3000:3000 xacc/xaccNavigate to https://localhost:3000 in your browser to open the IDE and get started with XACC. These are deployed
nightly, with xacc-tnqvm-exatn (tensor network simulator) and xacc-quac (pulse-level simulation) variants.
Full installation details can be followed here.
Ensure that you have installed CMake 3.12+, a C++17 compliant compiler (GCC 8+, Clang 5+), and CURL development headers and libraries with OpenSSL support (see prerequisites).
It is also recommended (though optional) that you install BLAS and LAPACK development libraries (for various simulators), Python 3 development headers (for the Python API), and Libunwind (for stack trace printing).
To enable XACC Python support, ensure that python3 is set to your desired version of Python 3. CMake will
find the corresponding development headers. Ensure that when you try to run XACC-enabled Python scripts
you are using the same python3 executable that was set during your build.
Clone the repository recursively, configure with cmake and build with make
$ git clone https://github.com/eclipse/xacc
$ cd xacc && mkdir build && cd build
[default cmake call]
$ cmake ..
[with tests and examples]
$ cmake .. -DXACC_BUILD_EXAMPLES=TRUE -DXACC_BUILD_TESTS=TRUE
[now build xacc]
$ make install
[for a speedier build on linux]
$ make -j$(nproc --all) install
[and on mac os x]
$ make -j$(sysctl -n hw.physicalcpu) install
[if built with tests, run them]
$ ctest --output-on-failureSee full documentation for all CMake optional arguments.
Your installation will be in $HOME/.xacc. If you built with the Python API,
be sure to update your PYTHONPATH environment variable to point to the installation:
$ export PYTHONPATH=$PYTHONPATH:$HOME/.xaccYou will probably want the XACC default simulator, TNQVM. To install, run the following:
$ git clone https://github.com/ornl-qci/tnqvm
$ cd tnqvm && mkdir build && cd build
$ cmake .. -DXACC_DIR=~/.xacc
$ make installQuestions, bug reporting and issue tracking are provided by GitHub. Please report all bugs by creating a new issue with the bug tag. You can ask questions by creating a new issue with the question tag.
XACC is dual licensed - Eclipse Public License and Eclipse Distribution License.
If you use XACC in your research, please use the following citation
@article{xacc_2020,
doi = {10.1088/2058-9565/ab6bf6},
url = {https://doi.org/10.1088%2F2058-9565%2Fab6bf6},
year = 2020,
month = {feb},
publisher = {{IOP} Publishing},
volume = {5},
number = {2},
pages = {024002},
author = {Alexander J McCaskey and Dmitry I Lyakh and Eugene F Dumitrescu and Sarah S Powers and Travis S Humble},
title = {{XACC}: a system-level software infrastructure for heterogeneous quantum{\textendash}classical computing},
journal = {Quantum Science and Technology}
}