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Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder
Citation
Zhang, H., Wan, L., Haug, T., Mok, W.-K., Paesani, S., Shi, Y., Cai, H., Chin, L. K., Muhammad Faeyz Karim, Xiao, L., Luo, X., Gao, F., Dong, B., Syed Assad, Kim, M. S., Laing, A., Kwek, L. C., & Liu, A. Q. (2022). Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder. Science Advances, 8(40), Article eabn9783. https://doi.org/10.1126/sciadv.abn9783
Author
Zhang, Hui
•
Wan, Lingxiao
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Haug, Tobias
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Mok, Wai Keong
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Paesani, Stefano
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Shi, Yuzhi
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Cai, Hong
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Chin, Lip Ket
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Muhammad Faeyz Karim
•
Xiao, Limin
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Luo, Xianshu
•
Gao, Feng
•
Dong, Bin
•
Syed Assad
•
Kim, M. S.
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Laing, Anthony
•
•
Liu, Ai Qun
Abstract
Quantum autoencoders serve as efficient means for quantum data compression. Here, we propose and demonstrate their use to reduce resource costs for quantum teleportation of subspaces in high-dimensional systems. We use a quantum autoencoder in a compress-teleport-decompress manner and report the first demonstration with qutrits using an integrated photonic platform for future scalability. The key strategy is to compress the dimensionality of input states by erasing redundant information and recover the initial states after chip-to-chip teleportation. Unsupervised machine learning is applied to train the on-chip autoencoder, enabling the compression and teleportation of any state from a high-dimensional subspace. Unknown states are decompressed at a high fidelity (~0.971), obtaining a total teleportation fidelity of ~0.894. Subspace encodings hold great potential as they support enhanced noise robustness and increased coherence. Laying the groundwork for machine learning techniques in quantum systems, our scheme opens previously unidentified paths toward high-dimensional quantum computing and networking.
Date Issued
2022
Publisher
American Association for the Advancement of Science
Journal
Science Advances
DOI
10.1126/sciadv.abn9783
Grant ID
MOE2017-T3-1-001
NRF2017NRF-NSFC002-014
EP/T001062/1.
Funding Agency
Ministry of Education, Singapore
National Research Foundation, Singapore
National Natural Science Foundation of China
Samsung GRC project and the UK Hub in Quantum Computing and Simulation, and part of the U.K. National Quantum Technologies ProgrammeFoundation of China