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DTSTART;TZID=America/Denver:20231113T083000
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UID:submissions.supercomputing.org_SC23_sess228_tut131@linklings.com
SUMMARY:Solving Optimization Problems Using Near Term Quantum Devices
DESCRIPTION:Brajesh Gupt and Sebastian Stern (Amazon Web Services (AWS))\n
 \nOptimization problems are among the most promising quantum applications 
 that combine the use of quantum processor and classical processors. This t
 utorial is aimed at teaching the participants to solve optimization proble
 ms using two distinct quantum computing paradigms: (i) hybrid quantum-clas
 sical algorithms using gate-based systems, and (ii) neutral atom analog Ha
 miltonian simulations device. In gate-based systems, a parameterized quant
 um circuit is designed which is then used to compute value of an objective
  function and iteratively optimize via classical optimization algorithms. 
 Such hybrid algorithms rely on rapid iterative computations of quantum and
  classical processors, requiring regular sharing of data between them. The
  analog Hamiltonian simulation quantum device comprises of an array of two
 -level neutral Rydberg atoms with ground state and excited Rydberg state. 
 The atoms can be arranged in any 1D or 2D geometry and initially prepared 
 in the ground state. The parameters of the driving Hamiltonian are then ad
 iabatically varied and the state of each neutral atom is measured which re
 presents the final solution. The tutorial will provide introduction to qua
 ntum computing and demonstrate the aforementioned solutions using hand-on 
 sessions provided via free cloud access to quantum hardware.\n\nTag: Algor
 ithms, Quantum Computing\n\nRegistration Category: Tutorial Reg Pass\n\n
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