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Description:

quantumjet 0.2.2

Jet is a cross-platform C++ and Python
library for simulating quantum circuits using tensor network contractions.

Features

Runs on a variety of systems, from single-board machines to massively parallel
supercomputers.
Accelerates tensor contractions using a novel task-based parallelism approach.
Models quantum systems with an arbitrary number of basis states.

To get started with Jet, read one of our tutorial walkthroughs or
browse the full API documentation.

Installation

C++
The Jet C++ library requires Taskflow,
a BLAS library with a CBLAS interface, and a C++ compiler with C++17 support.
To use Jet, add #include <Jet.hpp> to the top of your header file and link
your program with the CBLAS library.
For example, assuming that the Taskflow headers can be found in your g++
include path and OpenBLAS is installed on your system, you can compile the
hellojet.cpp program below
#include <array>
#include <complex>
#include <iostream>

#include <Jet.hpp>

int main(){
using Tensor = Jet::Tensor<std::complex<float>>;

Tensor lhs({"i", "j", "k"}, {2, 2, 2});
Tensor rhs({"j", "k", "l"}, {2, 2, 2});

lhs.FillRandom();
rhs.FillRandom();

Tensor res = Tensor::ContractTensors(lhs, rhs);

for (const auto &datum : res.GetData()) {
std::cout << datum << std::endl;
}

std::cout << "You have successfully used Jet version " << Jet::Version() << std::endl;

return 0;
}
by running
git clone https://github.com/XanaduAI/jet
g++ --std=c++17 -O3 -Ijet/include hellojet.cpp -lopenblas
The output of this program should resemble
$ ./hellojet
(-0.936549,0.0678852)
(-0.0786964,-0.771624)
(2.98721,-0.657124)
(-1.90032,1.58051)
You have successfully used Jet version 0.2.1
For more detailed instructions, see the development guide.

Python
The Jet Python package requires Python version 3.7 and above. Installation of Jet,
as well as all dependencies, can be done using pip:
pip install quantum-jet
To build the Jet Python distribution locally, a BLAS library with a CBLAS
interface and a C++ compiler with C++17 support is required. Simply run
make dist
pip install dist/*.whl
To verify that Jet is installed, you can run the hellojet.py program below
import jet

lhs = jet.Tensor(["i", "j", "k"], [2, 2, 2])
rhs = jet.Tensor(["j", "k", "l"], [2, 2, 2])

lhs.fill_random()
rhs.fill_random()
res = jet.contract_tensors(lhs, rhs)

for datum in res.data:
print(f"{datum:.5f}")

print("You have successfully used Jet version", jet.version())
The output of this program should resemble
$ python hellojet.py
1.96289+0.25257j
-0.16588-1.44652j
-1.43005+0.49516j
1.66881-1.67099j
You have successfully used Jet version 0.2.1

Contributing to Jet
We welcome new contributions - simply fork the Jet repository and make a
pull request
containing your contribution. All contributers to Jet will be listed as authors
on the releases. See our changelog for more
details.
We also encourage bug reports, suggestions for new features and enhancements,
and even links to cool projects or applications built using Jet. Visit the
contributions page to
learn more about sharing your ideas with the Jet team.

Support

Source Code: https://github.com/XanaduAI/jet
Issue Tracker: https://github.com/XanaduAI/jet/issues

If you are having issues, please let us know by posting the issue on our GitHub
issue tracker.

Authors
Jet is the work of many contributors.
If you are doing research using Jet, please cite our paper:

Trevor Vincent, Lee J. O’Riordan, Mikhail Andrenkov, Jack Brown, Nathan Killoran, Haoyu Qi, and Ish Dhand. Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction. 2021. arxiv:2107.09793

License
Jet is free and open source, released under the
Apache License, Version 2.0.
Jet contains a copy of
JSON for Modern C++
from Niels Lohmann which is licenced under the
MIT License.