VLDB 2026 Research / reviewers in the wild / expert
Mikhail Mints
dblp:414/8017
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0004-4508-353XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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.
| 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 3 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 |
0.9 | 1 | 2025 | Compositional Quantum Control Flow with Efficient Compilation in Qunity · Proc. ACM Program. Lang. 2025 |
Quantum computing and quantum information
quantum programming languages |
0.9 | 1 | 2025 | Compositional Quantum Control Flow with Efficient Compilation in Qunity · Proc. ACM Program. Lang. 2025 |
Quantum computing and quantum information
quantum circuit |
0.3 | 1 | 2025 | Compositional Quantum Control Flow with Efficient Compilation in Qunity · Proc. ACM Program. Lang. 2025 |
Methods — techniques the papers use, named apart from their topics
circuit optimization · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Compositional Quantum Control Flow with Efficient Compilation in QunityabstractMost existing quantum programming languages are based on the quantum circuit model of computation, as higher-level abstractions are particularly challenging to implement—especially ones relating to quantum control flow. The Qunity language, proposed by Voichick et al., offered such an abstraction in the form of a quantum control construct, with great care taken to ensure that the resulting language is still realizable. However, Qunity lacked a working implementation, and the originally proposed compilation procedure was very inefficient, with even simple quantum algorithms compiling to unreasonably large circuits. In this work, we focus on the efficient compilation of high-level quantum control flow constructs, using Qunity as our starting point. We introduce a wider range of abstractions on top of Qunity’s core language that offer compelling trade-offs compared to its existing control construct. We create a complete implementation of a Qunity compiler, which converts high-level Qunity code into the quantum assembly language OpenQASM 3. We develop optimization techniques for multiple stages of the Qunity compilation procedure, including both low-level circuit optimizations as well as methods that consider the high-level structure of a Qunity program, greatly reducing the number of qubits and gates used by the compiler. Mikhail Mints, Finn Voichick, Leonidas Lampropoulos, Robert Rand 0001 |
Proc. ACM Program. Lang. | 1 |