Article published on nanomagnetic logic
Nanomagnetic logic, with dipolar-coupled single-domain magnets, has a high potential for implementation in low-power computation as well as for integration of data processing and memory in the same architecture. Here, the thermal relaxation paths associated with logic operations in artificial spin ice structures are considered, which involve switching of individual nanomagnets towards a low-energy state.
Two types of relaxation paths have been identified: monotonic and intermittent, which lend themselves to deterministic and probabilistic computation respectively. Furthermore, by modifying the circuit design, the balance of competing relaxation paths can be altered. This tunability is essential for the implementation of probabilistic computation to solve complex problems more efficiently, for example in artificial neural networks where the outcome can be tuned via a feedback loop.
The work was published as an Editor's Suggestion in Physical Review Applied.
Original Publication:
Engineering Relaxation Pathways in Building Blocks of Artificial Spin Ice for Computation
H. Arava, N. Leo, D. Schildknecht, J. Cui, J. Vijayakumar, P. M. Derlet, A. Kleibert, L. J. Heyderman
external pagePhys. Rev. Applied 11, 054086 (2019)