Demo Data from VLDB 2026 / reviewers in the wild / expert
Shota Yokoyama
dblp:241/7228
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-6708-3785ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information
quantum state estimation |
0.5 | 1 | 2021 | Two-Stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results · IEEE Trans. Inf. Theory 2021 |
Quantum computing and quantum information
quantum state tomography |
0.5 | 1 | 2021 | Two-Stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results · IEEE Trans. Inf. Theory 2021 |
Methods — techniques the papers use, named apart from their topics
two-stage estimation · 0.5positive semidefinite estimation · 0.5constrained linear regression · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Two-Stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental ResultsabstractQuantum detector tomography is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, a novel quantum detector tomography method is proposed. First, a series of different probe states are used to generate measurement data. Then, using constrained linear regression estimation, a stage-1 estimation of the detector is obtained. Finally, the positive semidefinite requirement is added to guarantee a physical stage-2 estimation. This Two-stage Estimation (TSE) method has computational complexity O(nd2M), where n is the number of d-dimensional detector matrices and M is the number of different probe states. An error upper bound is established, and optimization on the coherent probe states is investigated. We perform simulation and a quantum optical experiment to testify the effectiveness of the TSE method. Yuanlong Wang 0001, Shota Yokoyama, Daoyi Dong, Ian R. Petersen, Elanor Huntington, Hidehiro Yonezawa |
IEEE Trans. Inf. Theory | 2 |