2016
DOI: 10.1140/epjqt/s40507-016-0044-6
|View full text |Cite
|
Sign up to set email alerts
|

Multi-qubit joint measurements in circuit QED: stochastic master equation analysis

Abstract: We derive a family of stochastic master equations describing homodyne measurement of multi-qubit diagonal observables in circuit quantum electrodynamics. In the regime where qubit decay can be neglected, our approach replaces the polaron-like transformation of previous work, which required a lengthy calculation for the physically interesting case of three qubits and two resonator modes. The technique introduced here makes this calculation straightforward and manifestly correct. Using this technique, we are abl… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
20
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 13 publications
(20 citation statements)
references
References 35 publications
0
20
0
Order By: Relevance
“…If we set χ 1 = χ 2 = χ and χ 12 = 0, the parity condition Eqs. (23) reduces to the one reported in [10,11]. However, we see the important role that the quantum switch coefficient χ 12 plays in these equations.…”
Section: B Parity Conditionmentioning
confidence: 49%
See 4 more Smart Citations
“…If we set χ 1 = χ 2 = χ and χ 12 = 0, the parity condition Eqs. (23) reduces to the one reported in [10,11]. However, we see the important role that the quantum switch coefficient χ 12 plays in these equations.…”
Section: B Parity Conditionmentioning
confidence: 49%
“…We also consider the case in which we are able to set χ 12 = 0. As in [11], we consider a realistic piecewise pulse The measured quadrature of the output field is always chosen to be the one that maximizes the information content about the state of the system. (b) Difference between information gain about the Hamming weight and parity on a log 10 scale.…”
Section: Information Gain In Dispersive Parity Measurementmentioning
confidence: 99%
See 3 more Smart Citations