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

23 Dec 2019  ·  Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang ·

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.

PDF Abstract

Categories


Quantum Physics Strongly Correlated Electrons Computational Physics