Quantum approximate Bayesian computation for NMR model inference

Author:

Sels DriesORCID,Dashti HesamORCID,Mora SamiaORCID,Demler OlgaORCID,Demler Eugene

Funder

Fonds Wetenschappelijk Onderzoek

Harvard Quantum Initiative

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research

United States Department of Defense | Defense Advanced Research Projects Agency

United States Department of Defense | United States Air Force | AFMC | Air Force Research Laboratory

Harvard-MIT CUA

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference53 articles.

1. Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79–98 (2018).

2. Bernien, H. et al. Probing many-body dynamics on a 51-atom quantum simulator. Nature 551, 579–584 (2017).

3. Friis, N. et al. Observation of entangled states of a fully controlled 20-qubit system. Phys. Rev. X 8, 021012 (2018).

4. Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1411.4028 (2014).

5. Peruzzo, A. et al. A variational eigenvalue solver on a photonic quantum processor. Nat. Commun. 5, 4213 (2014).

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