Workflow Analysis for IBM Quantum: Execution Cost Under Different Configurations and Parameters

Quantum computing has emerged as a revolutionary paradigm with the potential to tackle complex computational problems more efficiently than classical systems. This paper investigates the execution of quantum algorithms on IBM's Quantum Platform, a premier cloud-based ecosystem combining classical and quantum resources. It delves into quantum circuits, emphasizing the interplay between classical data preparation, quantum gate operations, and post-processing. The configuration options available within IBM's platform and their influence on workflow execution time are analyzed. A critical aspect of this study is the cost structure of executing quantum algorithms, particularly the role of QPU usage, where factors such as the number of qubits, circuit depth, and two-qubit gate operations contribute significantly to both time and cost. By understanding these elements, we aim to offer insights into the practical challenges of utilizing quantum computing in diverse fields of the consumer industry such as cryptography, optimization, and industrial automation.