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Multi-target quantum compilation algorithm

Autor: Hai, Vu Tuan, Viet, Nguyen Tan, Urbaneja, Jesus, Linh, Nguyen Vu, Tran, Lan Nguyen, Ho, Le Bin

In quantum computing, quantum compilation involves transforming information from a target unitary into a trainable unitary represented by a quantum circuit. Traditional quantum compilation optimizes circuits for a single target. However, many quantum

Externí odkaz: http://arxiv.org/abs/2407.01010

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Variational preparation of entangled states on quantum computers

Autor: Hai, Vu Tuan, Viet, Nguyen Tan, Ho, Le Bin

We propose a variational approach for preparing entangled quantum states on quantum computers. The methodology involves training a unitary operation to match with a target unitary using the Fubini-Study distance as a cost function. We employ various

Externí odkaz: http://arxiv.org/abs/2306.17422

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Universal compilation for quantum state preparation and tomography

Autor: Hai, Vu Tuan, Ho, Le Bin

Universal compilation is a training process that compiles a trainable unitary into a target unitary and it serves vast potential applications from quantum dynamic simulations to optimal circuits with deep-compressing, device benchmarking, quantum err

Externí odkaz: http://arxiv.org/abs/2204.11635

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Akademický článek

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Akademický článek

Universal compilation for quantum state tomography.

Autor: Hai, Vu Tuan^1,2 (AUTHOR), Ho, Le Bin^3,4,5 (AUTHOR) binho@fris.tohoku.ac.jp

Publikováno v: Scientific Reports. 3/7/2023, Vol. 13 Issue 1, p1-12. 12p.

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Exploring the features of quanvolutional neural networks for improved image classification

Autor: Hai Vu Tuan, Lawrence H Le, Bao Pham The

In several machine learning applications, image classification is a crucial problem. Numerous classification techniques based on quantum machine learning have been presented recently. In this article, we investigate the features of the quanvolutional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b70c3dc4b4420de441ba41e131a806da
https://doi.org/10.21203/rs.3.rs-2844895/v1

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