Task lead: Enrique Rico Ortega

This task will develop and apply quantum-inspired methodology, in particular Tensor Network algorithms, to simulate quantum many-body problems unreachable by classic approaches and benchmark future applications of quantum hardware on low-entangled systems to O(100) qubits, progressing towards the development of a software stack for quantum machine learning model design, simulation, and deployment.