analiza aiqbench
This survey offers a comprehensive technical assessment of Qiskit's evolution as a critical open-source framework for bridging classical computing with physical quantum hardware. The analysis highlights the toolkit's expanding utility in high-impact sectors like cryptography, climate modeling, and finance while addressing current constraints regarding scalability and reproducibility. For practitioners, this review serves as an essential reference for understanding hybrid workflow implementations and the state of error mitigation strategies in modern quantum software stacks.
The Evolution of IBM's Quantum Information Software Kit (Qiskit): A Review of its Applications
arXiv:2508.12245v2 Announce Type: replace Abstract: Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption. IBM's open-source quantum computing toolkit 'Qiskit' has become a key player in this space by offering tools for circuit design, simulation, hardware execution, and domain-specific applications. This survey provides a systematic review of how Qiskit has evolved and what it has contributed to several critical fields including cryptography and cybersecurity, image and signal processing, climate science and energy applications, and finance. We show how Qiskit facilitates hybrid classical-quantum workflows and enables the deployment of algorithms on physical quantum hardware through error mitigation and modular integration approaches. Our exploration covers several key applications, including quantum key distribution, climate simulation, and quantum-enhanced portfolio optimization, while providing practical insights into their implementation. This work also covers the framework's technical structure and current limitations associated with scalability and reproducibility. By bringing together developments that have been scattered across different areas, this work serves as a reference point for researchers and practitioners who want to understand or contribute to Qiskit-enabled quantum computing.
Abstract:Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption. IBM's open-source quantum computing toolkit 'Qiskit' has become a key player in this space by offering tools for circuit design, simulation, hardware execution, and domain-specific applications. This survey provides a systematic review of how Qiskit has evolved and what it has contributed to several critical fields including cryptography and cybersecurity, image and signal processing, climate science and energy applications, and finance. We show how Qiskit facilitates hybrid classical-quantum workflows and enables the deployment of algorithms on physical quantum hardware through error mitigation and modular integration approaches. Our exploration covers several key applications, including quantum key distribution, climate simulation, and quantum-enhanced portfolio optimization, while providing practical insights into their implementation. This work also covers the framework's technical structure and current limitations associated with scalability and reproducibility. By bringing together developments that have been scattered across different areas, this work serves as a reference point for researchers and practitioners who want to understand or contribute to Qiskit-enabled quantum computing.
Quantum Physics (quant-ph); Emerging Technologies (cs.ET)
I.2.1; I.6.5; G.1.6
arXiv:2508.12245 [quant-ph]
(or arXiv:2508.12245v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2508.12245 Focus to learn more arXiv-issued DOI via DataCite
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