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ABSTRACT: This paper introduces a new cross-platform programming framework for developing quantum-accelerated scientific computing applications and executing them on most of today’s cloud-based quantum computers and simulators. It makes use of C++ template meta-programming techniques to implement quantum algorithms as generic, platform-independent expressions, which get automatically synthesized into device-specific compute kernels upon execution. Our software framework supports concurrent and asynchronous execution of multiple quantum kernels via a CUDA-inspired stream concept.

SUBMITTER: Krzhizhanovskaya V 

PROVIDER: S-EPMC7304771 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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