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DTSTAMP:20211207T054815Z
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DTSTART;TZID=America/Chicago:20211118T163000
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UID:submissions.supercomputing.org_SC21_sess171_pap220@linklings.com
SUMMARY:SW_Qsim: A Minimize-Memory Quantum Simulator with High-Performance
  on a New Sunway Supercomputer
DESCRIPTION:Paper\n\nSW_Qsim: A Minimize-Memory Quantum Simulator with Hig
 h-Performance on a New Sunway Supercomputer\n\nLi, Liu, Liu, Zhao, Yang...
 \n\nClassical simulation of quantum computation plays a critical role in n
 umerical studies of quantum algorithms and the validation of quantum devic
 es. Here, we introduce SW_Qsim, a tensor-network-based quantum simulator, 
 which is designed with a two-level parallel structure for efficient implem
 entation on the many-core New Sunway Supercomputer. We propose a minimize-
 memory contraction path algorithm for rectangular quantum grids to reduce 
 the memory overhead, and provide the memory-limited simulation capacity of
  SW26010pro.  Moreover, tensor operations are carefully optimized on the S
 W processor to achieve high performance. We design a fault tolerance mecha
 nism to improve the extreme-scale parallel stability. We benchmark SW_Qsim
 ’s simulation of RQCs up to 400-qubits, achieving near-linear strong and w
 eak scaling with up to 28.75 million cores, far beyond the previous state 
 of the art. Our work sheds light on the development of efficient quantum a
 lgorithms for use in the physical, chemical, and engineering science field
 s.\n\nTag: Algorithms, Applications, Architectures, Quantum Computing\n\nR
 egistration Category: Tech Program Reg Pass
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