Name
Title | ||
|---|---|---|
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture |
Abstract | ||
|---|---|---|
Trapped-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,” w... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/HPCA51647.2021.00023 | 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) |
Keywords | DocType | ISSN |
Performance evaluation,Scheduling algorithms,Optimizing compilers,Architecture,Qubit,Computer architecture,Ions | Conference | 1530-0897 |
ISBN | Citations | PageRank |
978-1-6654-2235-2 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin-Chuan Wu | 1 | 26 | 3.16 |
| Dripto M. Debroy | 2 | 2 | 1.06 |
| Yongshan Ding | 3 | 8 | 2.62 |
| Jonathan M. Baker | 4 | 20 | 3.60 |
| Yuri Alexeev | 5 | 9 | 1.90 |
| Kenneth R. Brown | 6 | 29 | 6.08 |
| Frederic T. Chong | 7 | 1428 | 130.07 |