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DTSTART;TZID=America/Denver:20231113T090100
DTEND;TZID=America/Denver:20231113T092000
UID:submissions.supercomputing.org_SC23_sess446_ws_qcs115@linklings.com
SUMMARY:Fast Simulation of High-Depth QAOA Circuits
DESCRIPTION:Danylo Lykov (JPMorgan Chase, Argonne National Laboratory (ANL
 )); Ruslan Shaydulin and Yue Sun (JPMorgan Chase); Yuri Alexeev (Argonne N
 ational Laboratory (ANL)); and Marco Pistoia (JPMorgan Chase)\n\nUntil hig
 h-fidelity quantum computers with a large number of qubits become widely a
 vailable, classical simulation remains a vital tool for algorithm design, 
 tuning, and validation. We present a simulator for the Quantum Approximate
  Optimization Algorithm (QAOA). Our simulator is designed with the goal of
  reducing the computational cost of QAOA parameter optimization and suppor
 ts both CPU and GPU execution. Our central observation is that the computa
 tional cost of both simulating the QAOA state and computing the QAOA objec
 tive to be optimized can be reduced by precomputing the diagonal Hamiltoni
 an encoding the problem. We reduce the time for a typical QAOA parameter o
 ptimization by eleven times for n = 26 qubits compared to a state-of-the-a
 rt GPU quantum circuit simulator based on cuQuantum. Our simulator is avai
 lable on GitHub: https://github.com/jpmorganchase/QOKit\n\nTag: Quantum Co
 mputing, Software Engineering\n\nRegistration Category: Workshop Reg Pass\
 n\nSession Chairs: Yuri Alexeev (NVIDIA Corporation); Bert de Jong (Lawren
 ce Berkeley National Laboratory (LBNL)); Travis Humble (Oak Ridge National
  Laboratory (ORNL), Quantum Science Centre); Dmitry Liakh (NVIDIA Corporat
 ion); Hausi Muller (University of Victoria, British Columbia; IEEE Quantum
  Week); and Ojas Parekh (Sandia National Laboratories)\n\n
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