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DTSTAMP:20250626T234540Z
LOCATION:B301
DTSTART;TZID=America/New_York:20241117T102500
DTEND;TZID=America/New_York:20241117T103000
UID:submissions.supercomputing.org_SC24_sess729_ws_eduhpca103@linklings.co
 m
SUMMARY:An Introduction to Parallel Quantum Computation and Circuit Cuttin
 g through QAOA for Max-Cut
DESCRIPTION:Monica VanDieren (NVIDIA Corporation)\n\nOne of the challenges
  in practical quantum computing is the limited number of qubits. Most prob
 lems of interest require far more qubits than currently are available  -- 
 whether through execution on an existing physical quantum device or throug
 h simulation on multiple graphical processing units (GPUs).  Circuit cutti
 ng (sometimes referred to as circuit knitting) is a divide-and-conquer app
 roach to break  down a quantum circuit into smaller pieces, each of which 
 may require fewer qubits than the original circuit.  Often these smaller c
 ircuits can be executed in parallel before their output is stitched back t
 ogether for an approximation of the original circuit execution. To our kno
 wledge, no educational materials have been disseminated broadly that provi
 de students the opportunity to actively learn this technique and experimen
 t with running quantum algorithms in parallel. \n\nThis self-contained edu
 cational module walks students through a visual example of circuit cutting
  through the Max-Cut problem, using the Quantum Approximate Optimization A
 lgorithm (QAOA). Students will experiment with many of the design decision
 s that researchers face when implementing circuit cutting. In addition to 
 quantum computing learning objectives, students will gain transferable ski
 lls in high performance computing as they simulate large scale quantum alg
 orithms on a GPU using Message Processing Interface (MPI).\n\nTag: Broader
  Engagement, Education, Inclusivity\n\nRegistration Category: Workshop Reg
  Pass\n\nSession Chairs: David P. Bunde (Knox College); Sushil K. Prasad (
 University of Texas at San Antonio); Erik Saule (University of North Carol
 ina at Charlotte); and George K. Thiruvathukal (Loyola University, Chicago
 ; Argonne National Laboratory (ANL))\n\n
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