VLDB 2026 Research / reviewers in the wild / expert
Anupam Mitra
dblp:176/5064
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0004-6711-2477ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization › domain-specific compilation
quantum compilation |
1.0 | 1 | 2026 | QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation · ASPLOS (1) 2026 |
Quantum computing and quantum information
quantum simulation |
1.0 | 1 | 2026 | QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation · ASPLOS (1) 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | QTurbo: A Robust and Efficient Compiler for Analog Quantum SimulationabstractAnalog quantum simulation leverages native hardware dynamics to emulate complex quantum systems with great efficiency by bypassing the quantum circuit abstraction. However, conventional compilation methods for analog simulators are typically labor-intensive, prone to errors, and computationally demanding. This paper introduces QTurbo, a powerful analog quantum simulation compiler designed to significantly enhance compilation efficiency and optimize hardware execution time. By generating precise and noise-resilient pulse schedules, our approach ensures greater accuracy and reliability, outperforming the existing state-of-the-art approach. Junyu Zhou 0005, Yuhao Liu 0017, Shize Che, Anupam Mitra, Efekan Kökcü, Ermal Rrapaj, Costin Iancu, Gushu Li |
ASPLOS (1) | 4 |