Abstract
Due to the fragility of quantum mechanical effects,
real quantum computers are plagued by frequent
noise effects that cause errors during computations. Quantum
error-correcting codes address this problem by providing means
to identify and correct corresponding errors. However, most of
the research on quantum error correction is theoretical or has
been evaluated for specific hardware models only. Moreover,
the development of corresponding codes and the evaluation of
whether they indeed solve the problem for a particular hardware
model, still often rests on tedious trial-and-error thus far. In
this work, we propose an open-source framework that supports
engineers and researchers in these tasks by automatically applying
error-correcting codes for a given application followed
by an automatic noise-aware quantum circuit simulation. Case
studies showcase that this allows for a substantially more efficient
implementation and evaluation of error-correcting codes.
| Original language | English |
|---|---|
| Title of host publication | 2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID) |
| Editors | IEEE |
| Pages | 301-306 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2023 |
Fields of science
- 102 Computer Sciences
- 103025 Quantum mechanics
- 202 Electrical Engineering, Electronics, Information Engineering
JKU Focus areas
- Digital Transformation