We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design. Yao features generic and differentiable programming of quantum circuits. It achieves state-of-the-art performance in simulating small to intermediate-sized quantum circuits that are relevant to near-term applications. We introduce the design principles and critical techniques behind Yao. These include the quantum block intermediate representation of quantum circuits, a builtin automatic differentiation engine optimized for reversible computing, and batched quantum registers with GPU acceleration. The extensibility and efficiency of Yao help boost innovation in quantum algorithm design.
@article{arxiv.1912.10877,
title = {Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design},
author = {Xiu-Zhe Luo and Jin-Guo Liu and Pan Zhang and Lei Wang},
journal= {arXiv preprint arXiv:1912.10877},
year = {2020}
}