Abstract
Reconfigurable quantum circuits are fundamental building blocks for the implementation of scalable quantum technologies. Their implementation has been pursued in linear optics through the engineering of sophisticated interferometers1,2,3. Although such optical networks have been successful in demonstrating the control of small-scale quantum circuits, scaling up to larger dimensions poses significant challenges4,5. Here, we demonstrate a potentially scalable route towards reconfigurable optical networks based on the use of a multimode fibre and advanced wavefront shaping techniques. We program networks involving spatial and polarization modes of the fibre and experimentally validate the accuracy and robustness of our approach using two-photon quantum states. In particular, we illustrate the reconfigurability of our platform by emulating a tunable coherent absorption experiment6. By demonstrating reliable reprogrammable linear transformations, with the prospect to scale, our results highlight the potential of complex media driven by wavefront shaping for quantum information processing.
Original language | English |
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Pages (from-to) | 139 |
Journal | Nature Photonics |
Volume | 14 |
Issue number | 2020 |
Early online date | 02 Dec 2019 |
DOIs | |
Publication status | Early online date - 02 Dec 2019 |
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Dive into the research topics of 'Programmable linear quantum networks with a multimode fibre'. Together they form a unique fingerprint.Student theses
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Machine-learning-assisted state and gate engineering for quantum technologies
Innocenti, L. (Author), Ferraro, A. (Supervisor) & Paternostro, M. (Supervisor), Dec 2020Student thesis: Doctoral Thesis › Doctor of Philosophy
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Profiles
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Alessandro Ferraro
- School of Mathematics and Physics - Senior Lecturer
- Centre for Quantum Materials and Technologies (CQMT)
Person: Academic