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DTSTART;TZID=America/Chicago:20251120T113000
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UID:submissions.supercomputing.org_SC25_sess534_drs102@linklings.com
SUMMARY:A Framework for Digital Twins of Future Quantum Clouds
DESCRIPTION:Waylon Luo (Kent State University)\n\nQuantum computing has em
 erged as a transformative technology capable of solving complex problems b
 eyond classical systems' limits. However, present-day quantum systems face
  critical bottlenecks, including limited qubit counts, brief coherence int
 ervals, and high error susceptibility, which obstruct the execution of lar
 ge, complex circuits. The rapid development of quantum processors has led 
 to the proliferation of cloud-based quantum computing services from platfo
 rms like IBM, Google, and Amazon, introducing unique challenges in resourc
 e allocation, job scheduling, and multi-device orchestration as quantum wo
 rkloads increase in complexity. \n\nWe present a comprehensive digital twi
 n framework for quantum cloud infrastructures designed to model and simula
 te real quantum cloud systems while addressing distributed computing chall
 enges. Developed in Python using the SimPy discrete-event simulation libra
 ry, our framework replicates key aspects of quantum cloud environments inc
 luding detailed quantum device modeling, job lifecycle management, and noi
 se-aware fidelity estimation—making it the first to simulate superconducti
 ng gate-based quantum cloud systems at an administrative level with job fi
 delity. The framework supports distributed scheduling and concurrent execu
 tion of quantum jobs on networked quantum processors (QPUs) connected via 
 real-time classical channels. It models circuit decomposition for workload
 s exceeding individual QPU limits, enabling parallel execution through int
 er-processor communication. We evaluate four distinct scheduling technique
 s, including a reinforcement learning-informed model, across metrics inclu
 ding runtime efficiency, fidelity preservation, and communication costs. O
 ur analysis demonstrates how parallelized, noise-aware scheduling can impr
 ove computational throughput in distributed quantum infrastructures, provi
 ding proof-of-concept that our quantum cloud simulation framework can effe
 ctively serve as a digital twin for modeling and implementing practical qu
 antum systems.\n\nTag: Research & ACM SRC Posters\n\nRecording: Livestream
 ed, Recorded\n\nRegistration Category: Technical Program Reg Pass\n\nSessi
 on Chairs: Yanfei Guo (Argonne National Laboratory (ANL)); Shirley Moore (
 University of Texas at El Paso); Kento Sato (RIKEN Center for Computationa
 l Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Research Cent
 re; Commonwealth Scientific and Industrial Research Organisation (CSIRO), 
 Australia); and Anja Gerbes (Georg-August-Universität Göttingen)\n\n
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