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Precise measurement of quantum observables with neural-network estimators
Giacomo Torlai, Guglielmo Mazzola, Giuseppe Carleo +1
The measurement precision of modern quantum simulators is intrinsically constrained by the limited set of measurements that can be efficiently implemented on hardware. This fundame…
Reducing qubit requirements for quantum simulation using molecular point group symmetries
Kanav Setia, Richard Chen, Julia E. Rice +3
Simulating molecules is believed to be one of the early-stage applications for quantum computers. Current state-of-the-art quantum computers are limited in size and coherence, ther…
Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
Pauline J Ollitrault, Abhinav Kandala, Chun-Fu Chen +7
The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources…
Fermionic neural-network states for ab-initio electronic structure
Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo
Neural-network quantum states have been successfully used to study a variety of lattice and continuous-space problems. Despite a great deal of general methodological developments,…