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Quantum Machine Learning
ONDA: A High-Level Quantum Programming Language with Sequential Execution and Conditional Branching
arXiv
Authors: Francesco Junior De Gregorio
Year
2024
Paper ID
38329
Status
Preprint
Abstract Read
~2 min
Abstract Words
122
Citations
N/A
Abstract
This paper introduces ONDA, a quantum programming language designed to significantly simplify quantum programming by providing multiple abstraction layers similar to those found in classical computing. Unlike traditional quantum programming languages, which primarily focus on circuit construction, ONDA compiles into quantum instructions executed autonomously by specialized quantum hardware, eliminating the need for classical assistance. The proposed architecture uniquely supports sequential execution, branching, and the direct implementation of classical control structures such as conditional statements and loops (e.g., if, do-while) entirely within the quantum domain. By leveraging a quantum microarchitecture that autonomously processes compiled instructions, ONDA facilitates the intuitive implementation of high-level quantum algorithms, reducing complexity and broadening access to quantum programming to promote wider adoption and accelerate advancements in quantum computing.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- This paper introduces ONDA, a quantum programming language designed to significantly simplify quantum programming by providing multiple abstraction layers similar to those...
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