C#-Based Quantum Hardware Abstraction Layer (QHAL): A Unified Interface for Quantum Computing.

The C#-Based Quantum Hardware Abstraction Layer (QHAL) is a groundbreaking framework designed to unify interactions with diverse quantum hardware platforms. Leveraging the power and versatility of C#, QHAL provides developers with a hardware-agnostic interface to design and execute quantum algorithms without the complexity of managing hardware-specific SDKs. This project introduces a multi-tiered architecture comprising a Hardware Abstraction Interface, Quantum Execution Engine, Middleware, and Quantum Resource Manager to enable seamless transpilation, execution, and optimization of quantum circuits. By simplifying quantum-classical integration, QHAL bridges the gap between heterogeneous quantum backends like IBM Quantum, Google Sycamore, and AWS Braket, making quantum computing accessible, scalable, and efficient. The framework supports critical functionalities such as dynamic backend selection, transpilation optimization, and performance monitoring while adhering to quantum error correction and resource allocation standards. QHAL is positioned to catalyze innovation in quantum software development, empowering researchers and developers to focus on algorithm design rather than hardware constraints. This work represents a significant advancement in quantum computing, demonstrating the potential of C# as a robust language for quantum programming and abstraction.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-09
DOI
https://doi.org/10.5281/zenodo.14323909
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

C#-Based Quantum Hardware Abstraction Layer (QHAL): A Unified Interface for Quantum Computing.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

C#-Based Quantum Hardware Abstraction Layer (QHAL): A Unified Interface for Quantum Computing.

article en

Abstract

The C#-Based Quantum Hardware Abstraction Layer (QHAL) is a groundbreaking framework designed to unify interactions with diverse quantum hardware platforms. Leveraging the power and versatility of C#, QHAL provides developers with a hardware-agnostic interface to design and execute quantum algorithms without the complexity of managing hardware-specific SDKs. This project introduces a multi-tiered architecture comprising a Hardware Abstraction Interface, Quantum Execution Engine, Middleware, and Quantum Resource Manager to enable seamless transpilation, execution, and optimization of quantum circuits. By simplifying quantum-classical integration, QHAL bridges the gap between heterogeneous quantum backends like IBM Quantum, Google Sycamore, and AWS Braket, making quantum computing accessible, scalable, and efficient. The framework supports critical functionalities such as dynamic backend selection, transpilation optimization, and performance monitoring while adhering to quantum error correction and resource allocation standards. QHAL is positioned to catalyze innovation in quantum software development, empowering researchers and developers to focus on algorithm design rather than hardware constraints. This work represents a significant advancement in quantum computing, demonstrating the potential of C# as a robust language for quantum programming and abstraction.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Quantum Computing Algorithms and Architecture
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