Circuit quantum electrodynamics

A Blais, AL Grimsmo, SM Girvin, A Wallraff - Reviews of Modern Physics, 2021 - APS
Quantum-mechanical effects at the macroscopic level were first explored in Josephson-
junction-based superconducting circuits in the 1980s. In recent decades, the emergence of …

Superconducting quantum computing: a review

HL Huang, D Wu, D Fan, X Zhu - Science China Information Sciences, 2020 - Springer
Over the last two decades, tremendous advances have been made for constructing large-
scale quantum computers. In particular, quantum computing platforms based on …

High-fidelity, frequency-flexible two-qubit fluxonium gates with a transmon coupler

L Ding, M Hays, Y Sung, B Kannan, J An, A Di Paolo… - Physical Review X, 2023 - APS
We propose and demonstrate an architecture for fluxonium-fluxonium two-qubit gates
mediated by transmon couplers (FTF, for fluxonium-transmon-fluxonium). Relative to …

[HTML][HTML] A quantum engineer's guide to superconducting qubits

P Krantz, M Kjaergaard, F Yan, TP Orlando… - Applied physics …, 2019 - pubs.aip.org
The aim of this review is to provide quantum engineers with an introductory guide to the
central concepts and challenges in the rapidly accelerating field of superconducting …

Error mitigation extends the computational reach of a noisy quantum processor

A Kandala, K Temme, AD Córcoles, A Mezzacapo… - Nature, 2019 - nature.com
Quantum computation, a paradigm of computing that is completely different from classical
methods, benefits from theoretically proved speed-ups for certain problems and can be used …

Realization of High-Fidelity CZ and -Free iSWAP Gates with a Tunable Coupler

Y Sung, L Ding, J Braumüller, A Vepsäläinen… - Physical Review X, 2021 - APS
High-fidelity two-qubit gates at scale are a key requirement to realize the full promise of
quantum computation and simulation. The advent and use of coupler elements to tunably …

Supervised learning with quantum-enhanced feature spaces

V Havlíček, AD Córcoles, K Temme, AW Harrow… - Nature, 2019 - nature.com
Abstract Machine learning and quantum computing are two technologies that each have the
potential to alter how computation is performed to address previously untenable problems …

[HTML][HTML] Gate set tomography

E Nielsen, JK Gamble, K Rudinger, T Scholten… - Quantum, 2021 - quantum-journal.org
Gate set tomography (GST) is a protocol for detailed, predictive characterization of logic
operations (gates) on quantum computing processors. Early versions of GST emerged …

[HTML][HTML] Relaxing hardware requirements for surface code circuits using time-dynamics

M McEwen, D Bacon, C Gidney - Quantum, 2023 - quantum-journal.org
The typical time-independent view of quantum error correction (QEC) codes hides significant
freedom in the decomposition into circuits that are executable on hardware. Using the …

Demonstrating a continuous set of two-qubit gates for near-term quantum algorithms

B Foxen, C Neill, A Dunsworth, P Roushan, B Chiaro… - Physical Review Letters, 2020 - APS
Quantum algorithms offer a dramatic speedup for computational problems in material
science and chemistry. However, any near-term realizations of these algorithms will need to …