near-term quantum algorithms

Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms
A method to reduce the number of required measurements to execute certain algorithms, such as VQE, is developed and shown to offer competitive advantages over other state-of-the-art approaches.
Guillermo García-Pérez, Matteo A. C. Rossi, Boris Sokolov, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Guglielmo Mazzola, Ivano Tavernelli, Sabrina Maniscalco
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Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms