Preserving Entanglement in a Solid-Spin System Using Quantum
Autoencoders
- URL: http://arxiv.org/abs/2206.07607v1
- Date: Wed, 15 Jun 2022 15:37:43 GMT
- Title: Preserving Entanglement in a Solid-Spin System Using Quantum
Autoencoders
- Authors: Feifei Zhou, Yu Tian, Yumeng Song, Chudan Qiu, Xiangyu Wang, Mingti
Zhou, Bing Chen, Nanyang Xu, and Dawei Lu
- Abstract summary: Entanglement, as a key resource for modern quantum technologies, is extremely fragile due to the decoherence.
We show that a quantum autoencoder, which is trained to compress a particular set of quantum entangled states into a subspace that is robust to decoherence, can be employed to preserve entanglement.
- Score: 12.214186598448523
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Entanglement, as a key resource for modern quantum technologies, is extremely
fragile due to the decoherence. Here, we show that a quantum autoencoder, which
is trained to compress a particular set of quantum entangled states into a
subspace that is robust to decoherence, can be employed to preserve
entanglement. The training process is based on a hybrid quantum-classical
approach to improve the efficiency in building the autoencoder and reduce the
experimental errors during the optimization. Using nitrogen-vacancy centers in
diamond, we demonstrate that the entangled states between the electron and
nuclear spins can be encoded into the nucleus subspace which has much longer
coherence time. As a result, lifetime of the Bell states in this solid-spin
system is extended from 2.22 {\pm} 0.43 {\mu}s to 3.03 {\pm} 0.56 ms, yielding
a three orders of magnitude improvement. The quantum autoencoder approach is
universal, paving the way of utilizing long lifetime nuclear spins as
immediate-access quantum memories in quantum information tasks.
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