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arXiv · 1912.10877

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design

Xiu-Zhe Luo·Jin-Guo Liu·Pan Zhang·Lei Wang
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Abstract

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.

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Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang. 2019-12-23. Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design. https://doi.org/10.22331/q-2020-10-11-341

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