Approximate Quantum Adders with Genetic Algorithms: An IBM Quantum Experience
Rui Li, Unai Alvarez-Rodriguez, Lucas Lamata, and Enrique Solano
TL;DR
This paper uses genetic algorithms to optimize approximate quantum adders and demonstrates their implementation on IBM Quantum Experience, advancing quantum information processing capabilities.
Contribution
It introduces optimized approximate quantum adders via genetic algorithms and experimentally implements them on cloud quantum hardware, improving efficiency and fidelity.
Findings
Optimized quantum adders with higher fidelity.
Successful experimental realization on IBM Quantum.
Enhanced potential for quantum information protocols.
Abstract
It has been proven that quantum adders are forbidden by the laws of quantum mechanics. We analyze theoretical proposals for the implementation of approximate quantum adders and optimize them by means of genetic algorithms, improving previous protocols in terms of efficiency and fidelity. Furthermore, we experimentally realize a suitable approximate quantum adder with the cloud quantum computing facilities provided by IBM Quantum Experience. The development of approximate quantum adders enhances the toolbox of quantum information protocols, paving the way for novel applications in quantum technologies.
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