Application of Quantum Tensor Networks for Protein Classification

arXiv:2403.06890v1 Announce Type: cross
Abstract: We show that protein sequences can be thought of as sentences in natural language processing and can be parsed using the existing Quantum Natural Language framework into parameterized quantum circuits of reasonable qubits, which can be trained to solve various protein-related machine-learning problems. We classify proteins based on their subcellular locations, a pivotal task in bioinformatics that is key to understanding biological processes and disease mechanisms. Leveraging the quantum-enhanced processing capabilities, we demonstrate that Quantum …

abstract application arxiv classification cs.lg framework language language processing machine natural natural language natural language processing networks processing protein proteins q-bio.bm quant-ph quantum qubits show solve tensor thought type