Learning to measure: adaptive informationally complete POVMs for near-term quantum algorithms

Variational quantum algorithms stand as the most promising approaches towards practical applications of near-term quantum computers. However, these methodologies usually require a large number of measurements, which represents an important roadblock …

Emergent entanglement structures and self-similarity in quantum spin chains