Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy intermediate-scale quantum (NISQ) computing, systematic miscalibrations, drift, and crosstalk in the control of qubits can...
Saved in:
Main Authors: | Akel Hashim, Ravi K. Naik, Alexis Morvan, Jean-Loup Ville, Bradley Mitchell, John Mark Kreikebaum, Marc Davis, Ethan Smith, Costin Iancu, Kevin P. O’Brien, Ian Hincks, Joel J. Wallman, Joseph Emerson, Irfan Siddiqi |
---|---|
Format: | article |
Language: | EN |
Published: |
American Physical Society
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/4a5aaf0acc4a4a6d8c8af2ac41e8de58 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantum Information Scrambling on a Superconducting Qutrit Processor
by: M. S. Blok, et al.
Published: (2021) -
Machine learning of high dimensional data on a noisy quantum processor
by: Evan Peters, et al.
Published: (2021) -
Efficient quantum walk on a quantum processor
by: Xiaogang Qiang, et al.
Published: (2016) -
Random access quantum information processors using multimode circuit quantum electrodynamics
by: R. K. Naik, et al.
Published: (2017) -
Fault-tolerant interface between quantum memories and quantum processors
by: Hendrik Poulsen Nautrup, et al.
Published: (2017)