Banchi, L;
Pancotti, N;
Bose, S;
(2016)
Quantum gate learning in qubit networks: Toffoli gate without time-dependent control.
npj Quantum Information
, 2
, Article 16019. 10.1038/npjqi.2016.19.
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Abstract
We put forward a strategy to encode a quantum operation into the unmodulated dynamics of a quantum network without the need for external control pulses, measurements or active feedback. Our optimisation scheme, inspired by supervised machine learning, consists in engineering the pairwise couplings between the network qubits so that the target quantum operation is encoded in the natural reduced dynamics of a network section. The efficacy of the proposed scheme is demonstrated by the finding of uncontrolled four-qubit networks that implement either the Toffoli gate, the Fredkin gate or remote logic operations. The proposed Toffoli gate is stable against imperfections, has a high fidelity for fault-tolerant quantum computation and is fast, being based on the non-equilibrium dynamics.
| Type: | Article |
|---|---|
| Title: | Quantum gate learning in qubit networks: Toffoli gate without time-dependent control |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/npjqi.2016.19 |
| Publisher version: | http://dx.doi.org/10.1038/npjqi.2016.19 |
| Language: | English |
| Additional information: | © The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Physical Sciences, Physics, Applied, Physics, Atomic, Molecular & Chemical, Physics, Condensed Matter, Physics, Superconducting Circuits, Error-Correction, Architecture, Computation, Information, Spaces |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1502564 |
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