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Andrii O. Maksymov

dblp:235/9396 · also Andrii Maksymov · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test
fault detection
0.612022
Detecting Qubit-coupling Faults in Ion-trap Quantum Computers · HPCA 2022
Emerging computing paradigms
quantum computer architecture
0.612022
Detecting Qubit-coupling Faults in Ion-trap Quantum Computers · HPCA 2022
Emerging computing paradigms › quantum computer architecture
trapped ion quantum computer
0.612022
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
YearPublicationVenuePosition
2022 Detecting Qubit-coupling Faults in Ion-trap Quantum Computers
abstract
Ion-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
HPCA1