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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wille, R. Soeken, M. Drechsler, R. |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Computer Science University of Bremen, Bremen, Germany (Wille, R.; Soeken, M.; Drechsler, R.) |
| Abstract | Reversible logic became a promising alternative to traditional circuits because of its applications e.g. in low-power design and quantum computation. As a result, design of reversible circuits attracted great attention in the last years. The number of circuit lines is thereby a major criterion since it e.g. affects the still limited resource of qubits. Nevertheless, all approaches introduced so far for synthesis of complex reversible circuits need a significant amount of additional circuit lines — sometimes orders of magnitude more than the primary inputs. In this paper, we propose a post-process optimization method that addresses this problem. The general idea is to merge garbage output lines with appropriate constant input lines. To this end, parts of the circuits are re-synthesized. Experimental results show that by applying the proposed approach, the number of circuit lines can be reduced by 17% on average — in the best case by more than 40%. At the same time, the increase in the number of gates and the quantum costs, respectively, can be kept small. |
| Starting Page | 647 |
| Ending Page | 652 |
| File Size | 443744 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424466771 |
| ISSN | 0738100X |
| e-ISBN | 9781450300025 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Quantum computing Circuit synthesis Logic design Circuit testing Optimization methods Computer science Circuit simulation Debugging Data structures Boolean functions Optimization Reversible Logic Quantum Computation |
| Content Type | Text |
| Resource Type | Article |
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