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Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
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DOI：10.22331/q-2020-10-11-341.png)
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Abstract
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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.
Keywords:
COMPUTATION
SUPREMACY
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