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

doi:10.22331/q-2020-10-11-341

2020-10-11

DOI：10.22331/q-2020-10-11-341

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摘要

En 中文

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 intermediatesized 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.

Keyword:

COMPUTATION

SUPREMACY

期刊

Quantum

IF:

5.4

论文数:

951

被引数:

1.0W

机构

institute of physics, cas

学者数:

4.9K

论文数: 3.7K

被引数: 23

chinese academy of sciences

学者数:

56.7W

论文数: 45.0W

被引数: 704

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