Quantum information processing with superconducting circuits: A perspective
Book chapter, 2024
The last 5 years have seen a dramatic evolution of platforms for quantum computing, taking the field from physics experiments to quantum hardware and software engineering. Nevertheless, despite this progress of quantum processors, the field is still in the noisy intermediate-scale quantum (NISQ) regime, seriously limiting the performance of software applications. Key issues involve how to achieve quantum advantage in useful applications for quantum optimization and materials science. In this article we will describe recent work to establish relevant benchmarks for quantum supremacy and quantum advantage, present recent work on applications of variational quantum algorithms for optimization and electronic structure determination, discuss how to achieve practical quantum advantage, and finally outline current work and ideas about how to scale up to competitive quantum systems.
Quantum supremacy
Transmon
QPU
Superconducting quantum processor
VQE
Quantum simulation
Quantum algorithms
Superconducting qubits
Quantum advantage
HPC
QAOA
Quantum computing
Quantum control
NISQ
Author
Göran Wendin
Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology
Encyclopedia of Condensed Matter Physics
V1:246-V1:267
978-032390800-9 (ISBN)
Subject Categories (SSIF 2011)
Condensed Matter Physics
DOI
10.1016/B978-0-323-90800-9.00226-2