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DTSTAMP:20250626T233632Z
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UID:submissions.supercomputing.org_SC24_sess487_drs109@linklings.com
SUMMARY:Q-NFSO: Exploring Quantum Applications, Noise Management, Fault In
 jection, Resource Scheduling and Optimization in the NISQ Era
DESCRIPTION:Betis Baheri (Kent State University)\n\nQuantum computing has 
 achieved significant milestones in recent years, underscoring its potentia
 l benefits for NP-hard applications both currently and in the future. Desp
 ite these advancements, contemporary quantum computers are hindered by noi
 se and a limited number of qubits. These limitations pose significant chal
 lenges for quantum applications, noise management, resource scheduling, an
 d optimization. This research addresses the gap between quantum algorithms
  and hardware characteristics by examining quantum applications from high-
 level circuit definitions to noise model generation, fault injection, reso
 urce management, and optimization.\n\nThis study highlights the quantum ad
 vantage over classical computing, explores early quantum neural networks, 
 evaluates quantum metrics, and constructs a noise model based on quantum h
 ardware using fault injection techniques to investigate the vulnerabilitie
 s of quantum algorithms, operations, and qubits. Our research considers th
 e uncertainty factors of qubits, including random faults and single and do
 uble fault injections with circuit cutting and its limitations. The final 
 stage evaluates the performance of quantum jobs submitted to backends unde
 r controlled noise, uncontrolled errors, and established metrics.\n\nThe p
 roposed Quantum NFSO (Noise, Fault, and Scheduling Optimization) model pre
 sents a comprehensive approach to scheduling and optimization, accounting 
 for noise, random errors, resource management, job scheduling, and circuit
  optimization. While quantum computers hold immense potential, it is essen
 tial to calibrate expectations appropriately. In the NISQ (Noisy Intermedi
 ate-Scale Quantum) era, scientists and researchers must align their perspe
 ctives with the technology's limitations. Understanding these constraints 
 is crucial for advancing future computational technologies, including quan
 tum computing.\n\nRegistration Category: Tech Program Reg Pass, Exhibits R
 eg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, E
 rlangen-Nuremberg; Erlangen National High Performance Computing Center); S
 ally Ellingson (University of Kentucky); and Alan Sussman (University of M
 aryland)\n\n
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