VLDB 2026 Research / reviewers in the wild / expert
Andrii O. Maksymov
dblp:235/9396 · also Andrii Maksymov
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-8244-2851ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Emerging computing paradigms · 67% Electronic design automation · 33% | |
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › hardware verification and test
fault detection |
0.6 | 1 | 2022 | Detecting Qubit-coupling Faults in Ion-trap Quantum Computers · HPCA 2022 |
Emerging computing paradigms
quantum computer architecture |
0.6 | 1 | 2022 | Detecting Qubit-coupling Faults in Ion-trap Quantum Computers · HPCA 2022 |
Emerging computing paradigms › quantum computer architecture
trapped ion quantum computer |
0.6 | 1 | 2022 | Detecting Qubit-coupling Faults in Ion-trap Quantum Computers · HPCA 2022 |
Methods — techniques the papers use, named apart from their topics
simulation · 1.1fault diagnosis · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Detecting Qubit-coupling Faults in Ion-trap Quantum ComputersabstractIon-trap quantum computers offer a large number of possible qubit couplings, each of which requires individual calibration and can be misconfigured. To enhance the duty cycle of an ion trap, we develop a strategy that diagnoses individual miscalibrated couplings using only log-many tests. This strategy is validated on a commercial ion-trap quantum computer, where we illustrate the process of debugging faulty quantum gates. Our methodology provides a scalable pathway towards fault detections on a larger scale ion-trap quantum computers, confirmed by simulations up to 32 qubits. Andrii O. Maksymov, Vandiver Chaplin, Yun Seong Nam, Igor L. Markov |
HPCA | 1 |