Quantum Gene Regulatory Networks

A new study in npj Quantum Information explores the use of quantum circuits to model gene regulatory networks (GRNs) from single-cell transcriptomic data. The proposed model utilizes qubit entanglement to represent gene interactions, offering improved performance over traditional methods. By applying this quantum approach to human lymphoblastoid cell data, researchers successfully predicted gene regulatory interactions and their strengths. The findings suggest that quantum computing can enhance our understanding of complex gene networks, potentially revolutionizing single-cell genomics.