Qubit Health Analytics and Clustering for HPC-Integrated Quantum Processors

2025/08/28 by Xiaolong Deng, Laura Schulz, Deng, Xiaolong +3 · 1 citation
Computer Science · #Cloud Computing and Resource Management #FOS: Physical sciences #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)

paper · pdf · doi:10.48550/arxiv.2508.21231

openalex publication_date 2025/08/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Quantum computing in supercomputing centers requires robust tools to analyze calibration datasets, predict hardware performance, and optimize operational workflows. This paper presents a data-driven framework for processing calibration metrics. Our model is based on a real calibration quality metrics dataset from our in-house 20-qubit NISQ device and for more than 250 days. We apply detailed data analysis to uncover temporal patterns and cross-metric correlations. Using unsupervised clustering, we identify stable and noisy qubits. We also validate our model using GHZ state experiments. Our study provides health indicators as well as hardware-driven maintenance and recalibration recommendations, thus motivating the integration of relevant schedulers with HPCQC workflows.

Citations

• Quantum computing and artificial intelligence: status and perspectives
• CONQURE: A Co-Execution Environment for Quantum and Classical Resources
• Qibocal: an open-source framework for calibration of self-hosted quantum devices
• Resource-aware scheduling of multiple quantum circuits on a hardware device
• Benchmarking Quantum Processor Performance at Scale
• A Hybrid Classical-Quantum HPC Workload
• Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools
• SupermarQ: A Scalable Quantum Benchmark Suite
• Benchmarking Quantum Computers and the Impact of Quantum Noise
• Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum\n Computers
• Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices
• A Case for Variability-Aware Policies for NISQ-Era Quantum Computers
• Physical qubit calibration on a directed acyclic graph
• Quantum Computing in the NISQ era and beyond
• node2vec: Scalable Feature Learning for Networks
• High-Performance Computing with Quantum Processing Units
• A tutorial on spectral clustering
• Modular Compilation for Quantum Chiplet Architectures

Cited by

• First Practical Experiences Integrating Quantum Computers with HPC Resources: A Case Study With a 20-qubit Superconducting Quantum Computer

Related

• Observability Architecture for Quantum-Centric Supercomputing Workflows
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• HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers
• Leveraging Hardware Power through Optimal Pulse Profiling for Each Qubit Pair