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.
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CITATION STYLE
Möller, M., & Schalkers, M. (2020). |Lib> : A cross-platform programming framework for quantum-accelerated scientific computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12142 LNCS, pp. 451–464). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-50433-5_35
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