Python-based Quantum Circuit Testbed for Arithmetic and Logic Operations
With the exponentially increasing global data volumes it is challenging to meet the ultra-low latency requirements of the next-generation sophisticated applications using the existing computing resources. Though multiple existing methods and approaches such as edge-and-cloud computing, high performance computing (HPC), and specialized accelerators address the processing of voluminous data they suffer from numerous drawbacks. Some of them includes higher power consumption, expensive installation process, and lack of data privacy mechanisms. Quantum computing due to its inherent properties such as entanglement, and superposition becomes an ideal candidate for processing high-dimensional as well as exponentially growing data requirements. However, majority of the existing quantum computing researches focus on the individualized circuit implementation. But the modular quantum testbed is integral to systematic circuit analysis within emerging quantum computing architectures. In this paper, we propose Python based multi-layered quantum testbed that integrates modular circuit construction, simulation, and measurement analysis. Additionally, this paper includes preliminary arithmetic results from our testbed besides including a comparison between classical and quantum computational algorithms. This testbed will lay a solid foundation towards building a sophisticated quantum architectures for security related applications.