Density matrix representation of hybrid tensor networks for noisy quantum devices

Fuente: arXiv
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Main Authors: Harada, Hiroyuki, Suzuki, Yasunari, Yang, Bo, Tokunaga, Yuuki, Endo, Suguru
Format: Preprint
Published: 2023
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_version_ 1866909727519145984
author Harada, Hiroyuki
Suzuki, Yasunari
Yang, Bo
Tokunaga, Yuuki
Endo, Suguru
author_facet Harada, Hiroyuki
Suzuki, Yasunari
Yang, Bo
Tokunaga, Yuuki
Endo, Suguru
contents The hybrid tensor network (HTN) method is a general framework allowing for the construction of an effective wavefunction with the combination of classical tensors and quantum tensors, i.e., amplitudes of quantum states. In particular, hybrid tree tensor networks (HTTNs) are very useful for simulating larger systems beyond the available size of the quantum hardware. However, while the realistic quantum states in NISQ hardware are highly likely to be noisy, this framework is formulated for pure states. In this work, as well as discussing the relevant methods, i.e., Deep VQE and entanglement forging under the framework of HTTNs, we investigate the noisy HTN states by introducing the expansion operator for providing the description of the expansion of the size of simulated quantum systems and the noise propagation. This framework enables the general tree HTN states to be explicitly represented and their physicality to be discussed. We also show that the expectation value of a measured observable exponentially vanishes with the number of contracted quantum tensors. Our work will lead to providing the noise-resilient construction of HTN states.
format Preprint
id arxiv_https___arxiv_org_abs_2309_15761
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Density matrix representation of hybrid tensor networks for noisy quantum devices
Harada, Hiroyuki
Suzuki, Yasunari
Yang, Bo
Tokunaga, Yuuki
Endo, Suguru
Quantum Physics
The hybrid tensor network (HTN) method is a general framework allowing for the construction of an effective wavefunction with the combination of classical tensors and quantum tensors, i.e., amplitudes of quantum states. In particular, hybrid tree tensor networks (HTTNs) are very useful for simulating larger systems beyond the available size of the quantum hardware. However, while the realistic quantum states in NISQ hardware are highly likely to be noisy, this framework is formulated for pure states. In this work, as well as discussing the relevant methods, i.e., Deep VQE and entanglement forging under the framework of HTTNs, we investigate the noisy HTN states by introducing the expansion operator for providing the description of the expansion of the size of simulated quantum systems and the noise propagation. This framework enables the general tree HTN states to be explicitly represented and their physicality to be discussed. We also show that the expectation value of a measured observable exponentially vanishes with the number of contracted quantum tensors. Our work will lead to providing the noise-resilient construction of HTN states.
title Density matrix representation of hybrid tensor networks for noisy quantum devices
topic Quantum Physics
url https://arxiv.org/abs/2309.15761