Campus Units
Physics and Astronomy, Ames Laboratory
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
2020
Journal or Book Title
arXiv
Abstract
Rapid progress in noisy intermediate-scale quantum (NISQ) computing technology has led to the development of novel resource-efficient hybrid quantum-classical algorithms, such as the variational quantum eigensolver (VQE), that can address open challenges in quantum chemistry, physics and material science. Proof-of-principle quantum chemistry simulations for small molecules have been demonstrated on NISQ devices. While several approaches have been theoretically proposed for correlated materials, NISQ simulations of interacting periodic models on current quantum devices have not yet been demonstrated. Here, we develop a hybrid quantum-classical simulation framework for correlated electron systems based on the Gutzwiller variational embedding approach. We implement this framework on Rigetti quantum processing units (QPUs) and apply it to the periodic Anderson model, which describes a correlated heavy electron band hybridizing with non-interacting conduction electrons. Our simulation results quantitatively reproduce the known ground state quantum phase diagram including metallic, Kondo and Mott insulating phases. This is the first fully self-consistent hybrid quantum-classical simulation of an infinite correlated lattice model executed on QPUs, demonstrating that the Gutzwiller hybrid quantum-classical embedding framework is a powerful approach to simulate correlated materials on NISQ hardware. This benchmark study also puts forth a concrete pathway towards practical quantum advantage on NISQ devices.
Copyright Owner
The Author(s)
Copyright Date
2020
Language
en
File Format
application/pdf
Recommended Citation
Yao, Yongxin; Zhang, Feng; Wang, Cai-Zhuang; Ho, Kai-Ming; and Orth, Peter P., "Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials" (2020). Physics and Astronomy Publications. 711.
https://lib.dr.iastate.edu/physastro_pubs/711
Comments
This is a pre-print of the article Yao, Yongxin, Feng Zhang, Cai-Zhuang Wang, Kai-Ming Ho, and Peter P. Orth. "Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials." arXiv preprint arXiv:2003.04211 (2020). Posted with permission.