Towards understanding the power of quantum kernels in the NISQ era
A key problem in the field of quantum computing is understanding whether quantum machine learning (QML) models implemented on noisy intermediate-scale quantum (NISQ) machines can achieve quantum advantages. Recently, Huang et al. [Nat Commun 12, 2631] partially answered this question by the lens of...
Main Authors: | Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao |
---|---|
Format: | Article |
Language: | English |
Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2021-08-01
|
Series: | Quantum |
Online Access: | https://quantum-journal.org/papers/q-2021-08-30-531/pdf/ |
Similar Items
-
Quantum Computing in the NISQ era and beyond
by: John Preskill
Published: (2018-08-01) -
Demonstrating NISQ era challenges in algorithm design on IBM’s 20 qubit quantum computer
by: Daniel Koch, et al.
Published: (2020-09-01) -
Parallel quantum simulation of large systems on small NISQ computers
by: F. Barratt, et al.
Published: (2021-05-01) -
A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era
by: Siyuan Niu, et al.
Published: (2020-01-01) -
Determining quantum phase diagrams of topological Kitaev-inspired models on NISQ quantum hardware
by: Xiao Xiao, et al.
Published: (2021-09-01)