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UID:submissions.supercomputing.org_SC24_sess533_post243@linklings.com
SUMMARY:QFw: A Quantum Framework for Large-Scale HPC Ecosystems
DESCRIPTION:Srikar Chundury (North Carolina State University); Amir Shehat
 a, Thomas Naughton, and Seongmin Kim (Oak Ridge National Laboratory (ORNL)
 ); Frank Mueller (North Carolina State University); and In-Saeng Suh (Oak 
 Ridge National Laboratory (ORNL))\n\nThis work extends Quantum Framework (
 QFw) by integrating it with Northwest Quantum Simulator (NWQ-Sim) and by i
 ntroducing a lightweight python library (qfw\_backend) that allows multipl
 e frontends (e.g., Qiskit) to interact with QFw. This extension enables QF
 w to flexibly decouple frontends from backends (e.g., NWQ-Sim). We demonst
 rate this capability by executing a Greenberger-Horne-Zeilinger (GHZ) circ
 uit using Qiskit and Pennylane with different backends. Also, QFw enables 
 easy scaling to multiple nodes. We showcase this by running GHZ scaling te
 sts up to 32 qubits for different numbers of nodes on Frontier. To demonst
 rate the use of QFw for real-world problems, we solve a metamaterial optim
 ization problem which uses a Quantum Approximate Optimization Algorithm (Q
 AOA). We observe that QFw over NWQ-Sim marginally improves Qiskit-aer's ac
 curacy. These additions prepare QFw to run hybrid applications in a hybrid
  resource environment since it treats actual quantum hardware and simulato
 rs alike.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pa
 ss\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, Erlang
 en-Nuremberg; Erlangen National High Performance Computing Center); Sally 
 Ellingson (University of Kentucky); and Alan Sussman (University of Maryla
 nd)\n\n
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