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Main Authors: Green, Josh, Wang, Jingbo B
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.16464
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author Green, Josh
Wang, Jingbo B
author_facet Green, Josh
Wang, Jingbo B
contents The amplitude encoding of an arbitrary $n$-qubit state vector requires $Ω(2^n)$ gate operations, owing to the exponential dimension of the Hilbert space. We can, however, form dimensionality-reduced representations of quantum states using matrix product states (MPS). In this article, we illustrate that MPS techniques enable the preparation of quantum states representative of functions with complexity up to low-degree piecewise polynomials via shallow-depth quantum circuits with accuracy exceeding 99.99\%. We extend these results to the approximate amplitude encoding of pixel values. We showcase this approach by efficiently preparing a $128\times 128$ ChestMNIST medical image (https://medmnist.com/) on 14 qubits with fidelity exceeding 99.2\% on a circuit with a total depth of just 425 single-qubit rotation and CNOT gates.
format Preprint
id arxiv_https___arxiv_org_abs_2502_16464
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quantum Encoding of Structured Data with Matrix Product States
Green, Josh
Wang, Jingbo B
Quantum Physics
The amplitude encoding of an arbitrary $n$-qubit state vector requires $Ω(2^n)$ gate operations, owing to the exponential dimension of the Hilbert space. We can, however, form dimensionality-reduced representations of quantum states using matrix product states (MPS). In this article, we illustrate that MPS techniques enable the preparation of quantum states representative of functions with complexity up to low-degree piecewise polynomials via shallow-depth quantum circuits with accuracy exceeding 99.99\%. We extend these results to the approximate amplitude encoding of pixel values. We showcase this approach by efficiently preparing a $128\times 128$ ChestMNIST medical image (https://medmnist.com/) on 14 qubits with fidelity exceeding 99.2\% on a circuit with a total depth of just 425 single-qubit rotation and CNOT gates.
title Quantum Encoding of Structured Data with Matrix Product States
topic Quantum Physics
url https://arxiv.org/abs/2502.16464