Simulating Molecular Markers in Acute Myeloid Leukemia Using Quantum Computing
Abstract
Leukemia is the most common cancer for children, impacting around one out of three patients (American Cancer Society). Various treatment pipelines exist to decrease the cancer spread, including intensive induction chemotherapy. Molecular markers have been a point of focus, since their DNA make-up can indicate a presence of leukemia, helping in early diagnosis and treatment of acute myeloid leukemia. Quantum computing, which disobeys the rules of classical physics, is a booming field with versatile applications. In healthcare, quantum computing is being applied to increase computing power and provide more accurate diagnoses of diseases. In this study, molecular markers in acute myeloid leukemia are simulated using core principles of quantum computing, including placing qubits in superposition. By utilizing qubits to represent molecular markers, IBM Quantum Composer is used to create a circuit that accurately reflects the proper genetic frequencies and pathways in the dataset used.
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