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DTSTART;TZID=America/Denver:20231113T105000
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UID:submissions.supercomputing.org_SC23_sess446_ws_qcs116@linklings.com
SUMMARY:MEMQSim:  Highly Memory-Efficient and Modularized Quantum State-Ve
 ctor Simulation
DESCRIPTION:Boyuan Zhang (Indiana University), Bo Fang (Pacific Northwest 
 National Laboratory (PNNL)), Qiang Guan (Kent State University), Ang Li (P
 acific Northwest National Laboratory (PNNL)), and Dingwen Tao (Indiana Uni
 versity)\n\nWe introduce a highly memory-efficient state vector simulation
  of quantum circuits premised on data compression, harnessing the capabili
 ties of both CPUs and GPUs. We have elucidated the inherent challenges in 
 architecting this system, while concurrently proposing our tailored soluti
 ons. Moreover, we have delineated our preliminary implementation and delib
 erated upon the potential for integration with other GPU-oriented simulato
 rs. In forthcoming research, we aim to present a more comprehensive set of
  results, bolstering the assertion of the efficacy and performance of our 
 approach.\n\nTag: Quantum Computing, Software Engineering\n\nRegistration 
 Category: Workshop Reg Pass\n\nSession Chairs: Yuri Alexeev (NVIDIA Corpor
 ation); Bert de Jong (Lawrence Berkeley National Laboratory (LBNL)); Travi
 s Humble (Oak Ridge National Laboratory (ORNL), Quantum Science Centre); D
 mitry Liakh (NVIDIA Corporation); Hausi Muller (University of Victoria, Br
 itish Columbia; IEEE Quantum Week); and Ojas Parekh (Sandia National Labor
 atories)\n\n
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