VLDB 2026 Research / reviewers in the wild / expert
Dripto M. Debroy
dblp:270/3932
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 since 2021Software engineering, systems software and programming languages · 1
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
2 papers |
Emerging computing paradigms · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms
quantum computer architecture |
0.9 | 2 | 2021 | TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture · HPCA 2021 Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers · ISCA 2020 |
Emerging computing paradigms › quantum computer architecture › trapped ion quantum computer
quantum charge-coupled device |
0.4 | 1 | 2020 | Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers · ISCA 2020 |
Emerging computing paradigms › quantum computer architecture
trapped ion quantum computer |
0.4 | 1 | 2020 | Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers · ISCA 2020 |
Emerging computing paradigms › quantum computer architecture
qubit mapping and scheduling |
0.1 | 1 | 2021 | TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture · HPCA 2021 |
Emerging computing paradigms › quantum computing
NISQ |
0.1 | 1 | 2020 | Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers · ISCA 2020 |
Methods — techniques the papers use, named apart from their topics
swap optimization · 0.5scheduling heuristics · 0.5architectural simulation · 0.4application mapping · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing ArchitectureabstractTrapped-ion qubits are a leading technology for practical quantum computing. In this work, we present an architectural analysis of a linear-tape architecture for trapped ions. In order to realize our study, we develop and evaluate mapping and scheduling algorithms for this architecture. In particular, we introduce TILT, a linear “Turing-machinelike” architecture with a multilaser control “head,” where a linear chain of ions moves back and forth under the laser head. We find that TILT can substantially reduce communication as compared with comparable-sized Quantum Charge Coupled Device (QCCD) architectures. We also develop two important scheduling heuristics for TILT. The first heuristic reduces the number of swap operations by matching data traveling in opposite directions into an “opposing swap.”, and also avoids the maximum swap distance across the width of the head, as maximum swap distances make scheduling multiple swaps in one head position difficult. The second heuristic minimizes ion chain motion by scheduling the tape to the position with the maximal executable operations for every movement. We provide application performance results from our simulation, which suggest that TILT can outperform QCCD in a range of NISQ applications in terms of success rate (up to 4.35x and 1.95x on average). We also discuss using TILT as a building block to extend existing scalable trapped-ion quantum computing proposals. Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding 0001, Jonathan M. Baker, Yuri Alexeev, Kenneth R. Brown, Fred Chong |
HPCA | 2 |
| 2020 | Architecting Noisy Intermediate-Scale Trapped Ion Quantum ComputersabstractTrapped ions (TI) are a leading candidate for building Noisy Intermediate-Scale Quantum (NISQ) hardware. TI qubits have fundamental advantages over other technologies such as superconducting qubits, including high qubit quality, coherence and connectivity. However, current TI systems are small in size, with 5-20 qubits and typically use a single trap architecture which has fundamental scalability limitations. To progress towards the next major milestone of 50-100 qubit TI devices, a modular architecture termed the Quantum Charge Coupled Device (QCCD) has been proposed. In a QCCD-based TI device, small traps are connected through ion shuttling. While the basic hardware components for such devices have been demonstrated, building a 50-100 qubit system is challenging because of a wide range of design possibilities for trap sizing, communication topology and gate implementations and the need to match diverse application resource requirements.Towards realizing QCCD-based TI systems with 50-100 qubits, we perform an extensive application-driven architectural study evaluating the key design choices of trap sizing, communication topology and operation implementation methods. To enable our study, we built a design toolflow which takes a QCCD architecture's parameters as input, along with a set of applications and realistic hardware performance models. Our toolflow maps the applications onto the target device and simulates their execution to compute metrics such as application run time, reliability and device noise rates. Using six applications and several hardware design points, we show that trap sizing and communication topology choices can impact application reliability by up to three orders of magnitude. Microarchitectural gate implementation choices influence reliability by another order of magnitude. From these studies, we provide concrete recommendations to tune these choices to achieve highly reliable and performant application executions. With industry and academic efforts underway to build TI devices with 50-100 qubits, our insights have the potential to influence QC hardware in the near-future and accelerate the progress towards practical QC systems. Prakash Murali, Dripto M. Debroy, Kenneth R. Brown, Margaret Martonosi |
ISCA | 2 |