Quantum Simulation with the Shadow Hamiltonian Method Quantum simulation has long promised to unlock insights into complex systems that are out of reach for classical computers. The introduction of the shadow Hamiltonian approach marks a major leap forwa... bosonic systems compressed quantum states fermionic systems operator dynamics quantum algorithms quantum simulation shadow Hamiltonian
How Machine Learning is Driving Atomic-Scale Material Simulations A team at Harvard SEAS has broken new ground with a machine learning framework that predicts how materials respond to electric fields and delivers quantum-level accuracy for massive simulations, exten... Allegro-pol atomic scale computational modeling electric fields machine learning materials discovery materials science quantum simulation