Tensor Networks in Quantum Simulation – Training Services

Tensor Networks in Quantum Simulation – Training Services introduces participants to advanced computational methods for simulating large-scale quantum systems efficiently. The training covers the foundations of tensor network representations, including Matrix Product States (MPS), Projected Entangled Pair States (PEPS), and Multi-scale Entanglement Renormalization Ansatz (MERA). Learners will explore how tensor networks capture quantum entanglement, reduce computational complexity, and enable the study of many-body quantum systems. Practical sessions guide participants through simulating spin chains, quantum phase transitions, and condensed matter models using tensor network techniques. By the end of the training, participants will gain the skills to apply tensor network algorithms in quantum computing, condensed matter physics, and quantum information research.