HybridQ: A Hybrid Simulator for Quantum Circuits
ORAL
Abstract
Developing state-of-the-art classical simulators of quantum circuits is of utmost importance to test and evaluate early quantum technology and understand the true potential of full-blown error-corrected quantum computers. To support a unified and optimized use of multiple techniques across platforms, we developed HybridQ, a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to run on a variety of hardware. The powerful tools developed in HybridQ allow users to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.
In this presentation, I will show how to use HybridQ for large-scale numerical simulations, including some recent results.
In this presentation, I will show how to use HybridQ for large-scale numerical simulations, including some recent results.
*We are grateful for support from NASA Ames Research Center, particularly the NASA Transformative Aeronautic Concepts Program, and also from DARPA under IAA 8839, Annex 114. The authors acknowledge the support from the NASA Ames Research Center and the support from the NASA Advanced Supercomputing Division for providing access to the NASA HPC systems, Pleiades and Merope. J.M. is supported by NASA Academic Mission Services (NAMS), contract number NNA16BD14C. SM. is supported by the Prime Contract No. 80ARC020D0010 with the NASA Ames Research Center.
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Presenters
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Salvatore Mandra
- NASA Ames Research Center - KBR