Current State of Hybrid Quantum Computing Software Systems

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Insinööritieteiden korkeakoulu | Bachelor's thesis

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ENG3082

Language

en

Pages

22+3

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Abstract

During today's Noisy Intermediate-Scale Quantum (NISQ) era, hardware constraints such as noise and reduced qubits necessitate the use of hybrid quantum–classical computing models in order to achieve significant results. The following thesis is an extensive literature survey of recent studies on hybrid quantum computing software. The thesis reviews current frameworks, software development kits (SDKs), and programming languages for hybrid computing, highlighting top platforms like IBM's Qiskit, Google's Cirq, Xanadu's PennyLane, Amazon Braket, and D-Wave's Ocean. Literature selection is guided by a formal methodology with clear inclusion criteria, and analysis employs a quantum software engineering (QSE) layer model for assessing how such platforms integrate quantum and classical components, e.g., through the utilization of cloud-based orchestration. Key findings reveal a significant emphasis on modular structure and iterative hybrid processes across such platforms, accompanied by what seems to be a lack of standardization of software structure. The review points out that good software design, with layered abstractions and clear cloud integration, is the key enabler to understand the promise of hybrid quantum–classical systems in the NISQ era. The review presents a comparative snapshot of the current state of hybrid quantum computing software and reveals trends and open questions, setting directions for ongoing research and development in this rapidly evolving field.

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Supervisor

St-Pierre, Luc

Thesis advisor

Bhattacharya, Debayan

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