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UID:submissions.supercomputing.org_SC20_sess181_pap176@linklings.com
SUMMARY:Density Matrix Quantum Circuit Simulation via the BSP Machine on M
 odern GPU Clusters
DESCRIPTION:Paper\n\nDensity Matrix Quantum Circuit Simulation via the BSP
  Machine on Modern GPU Clusters\n\nLi, Subasi, Yang, Krishnamoorthy\n\nAs 
 quantum computers evolve, simulations of quantum programs on classical com
 puters will be essential in validating quantum algorithms, understanding t
 he effect of system noise and designing applications for future quantum co
 mputers. In this paper, we first propose a new multi-GPU programming metho
 dology called MG-BSP which constructs a virtual BSP machine on top of mode
 rn multi-GPU platforms, and apply this methodology to build a multi-GPU de
 nsity matrix quantum simulator. We propose a new formulation that can sign
 ificantly reduce communication overhead, and show that the formula transfo
 rmation can conserve the semantics despite noise being introduced. We buil
 d the tool-chain for the simulator to run open standard quantum assembly c
 ode, execute synthesized quantum circuit and perform ultra-deep and large-
 scale simulation. We evaluated our design on several state-of-the-art mult
 i-GPU platforms including NVIDIA's DGX-1, DGX-2 and ORNL's Summit supercom
 puter. Our simulator is more than 10x faster than a corresponding state-ve
 ctor quantum simulator on various platforms.\n\nTag: Quantum Computing, Si
 mulation\n\nRegistration Category: Tech Program Reg Pass\n\nAward Finalist
 : Best Paper Finalist
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