VLDB 2026 Research / reviewers in the wild / expert
Benjamin C. Travaglione
dblp:91/58 · also Ben Travaglione
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 · 100% | |
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms › quantum computer architecture
quantum circuit implementation |
0.0 | 1 | 2003 | Designing and implementing small quantum circuits and algorithms · DAC 2003 |
Emerging computing paradigms
quantum computer architecture |
0.0 | 1 | 2003 | Designing and implementing small quantum circuits and algorithms · DAC 2003 |
Quantum computing and quantum information
quantum algorithms |
0.0 | 1 | 2003 | Designing and implementing small quantum circuits and algorithms · DAC 2003 |
Methods — techniques the papers use, named apart from their topics
reversible computation · 0.1read-only-memory computation model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Designing and implementing small quantum circuits and algorithmsabstractIt appears, in principle, that the laws of quantum mechanics allow a quantum computer to solve certain mathematical problems more rapidly than can be done using a classical computer. However, in order to build such a quantum computer a number of technological problems need to be overcome. A stepping stone to this goal is the implementation of relatively simple quantum algorithms using current experimental techniques.This paper explores small scale quantum algorithms from two different perspectives. Firstly, it will be shown how small scale quantum algorithms can be tailored to fit current schemes for implementing a quantum computer. Secondly, I will review a simple model of computation, based on read-only-memory. This model allows the comparison of the space-efficiency of reversible error-free classical computation with reversible, error-free quantum computation. The quantum model has been shown to be more powerful than the classical model. Benjamin C. Travaglione |
DAC | 1 |