Search Results - "Minato, Yuichiro"

Quantum computing formulation of some classical Hadamard matrix searching methods and its implementation on a quantum computer by Suksmono, Andriyan Bayu, Minato, Yuichiro

“…Finding a Hadamard matrix (H-matrix) among all possible binary matrices of corresponding order is a hard problem that can be solved by a quantum computer. Due…”
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Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computer by Ishiyama, Yuki, Nagai, Ryutaro, Mieda, Shunsuke, Takei, Yuki, Minato, Yuichiro, Natsume, Yutaka

“…Quantum machine learning for predicting the physical properties of polymer materials based on the molecular descriptors of monomers was investigated. Under the…”
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Explainable natural language processing with matrix product states by Tangpanitanon, Jirawat, Mangkang, Chanatip, Bhadola, Pradeep, Minato, Yuichiro, Angelakis, Dimitris G, Chotibut, Thiparat

“…Despite empirical successes of recurrent neural networks (RNNs) in natural language processing (NLP), theoretical understanding of RNNs is still limited due to…”
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Finding Hadamard Matrices by a Quantum Annealing Machine by Suksmono, Andriyan Bayu, Minato, Yuichiro

“…Finding a Hadamard matrix (H-matrix) among the set of all binary matrices of corresponding order is a hard problem, which potentially can be solved by quantum…”
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Two-Step QAOA: Enhancing Quantum Optimization by Decomposing One-Hot Constraints in QUBO Formulations by Minato, Yuichiro

“…The Quantum Approximate Optimization Algorithm (QAOA) has shown promise in solving combinatorial optimization problems by leveraging quantum computational…”
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Tensor Network Based HOBO Solver by Minato, Yuichiro

“…In the field of quantum computing, combinatorial optimization problems are typically addressed using QUBO (Quadratic Unconstrained Binary Optimization)…”
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HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch by Yasuda, Shoya, Sotobayashi, Shunsuke, Minato, Yuichiro

“…In this study, we introduce HOBOTAN, a new solver designed for Higher Order Binary Optimization (HOBO). HOBOTAN supports both CPU and GPU, with the GPU version…”
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Numerical Exploration of the Pythagorean Theorem Using HOBO Algorithm by Yasuda, Shoya, Mochida, Naoaki, Sotobayashi, Shunsuke, Garg, Devanshu, Minato, Yuichiro

“…This paper introduces a novel method for finding integer sets that satisfy the Pythagorean theorem by leveraging the Higher-Order Binary Optimization (HOBO)…”
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Workflow for practical quantum chemical calculations with quantum phase estimation algorithm: electronic ground and {\pi}-{\pi} excited states of benzene and its derivatives{\dag} by Ino, Yusuke, Yonekawa, Misaki, Yuzawa, Hideto, Minato, Yuichiro, Sugisaki, Kenji

“…Quantum computers are expected to perform the full-configuration interaction calculations with less computational resources compared to classical ones, thanks…”
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Finding high-order Hadamard matrices by using quantum computers by Suksmono, Andriyan Bayu, Minato, Yuichiro

“…Solving hard problems is one of the most important issues in computing to be addressed by a quantum computer. Previously, we have shown that the H-SEARCH;…”
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Simulation of Continuous-Variable Quantum Systems with Tensor Network by Nagai, Ryutaro, Tomono, Takao, Minato, Yuichiro

“…Tensor network is known as a powerful method to simulate quantum computation on a classical computer. Recently, the random quantum circuit used in the…”
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Application of Tensorized Neural Networks for Cloud Classification by Xiafukaiti, Alifu, Garg, Devanshu, Hosaka, Aruto, Yanagisawa, Koichi, Minato, Yuichiro, Yoshida, Tsuyoshi

“…Convolutional neural networks (CNNs) have gained widespread usage across various fields such as weather forecasting, computer vision, autonomous driving, and…”
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Finding Hadamard matrices by a quantum annealing machine by Suksmono, Andriyan Bayu, Minato, Yuichiro

“…Finding a Hadamard matrix (H-matrix) among the set of all binary matrices of corresponding order is a hard problem, which potentially can be solved by quantum…”
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Solving tiling puzzles with quantum annealing by Eagle, Asa, Kato, Takumi, Minato, Yuichiro

“…To solve tiling puzzles, such as "pentomino" or "tetromino" puzzles, we need to find the correct solutions out of numerous combinations of rotations or piece…”
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Explainable Natural Language Processing with Matrix Product States by Tangpanitanon, Jirawat, Mangkang, Chanatip, Bhadola, Pradeep, Minato, Yuichiro, Angelakis, Dimitris G, Chotibut, Thiparat

“…New Journal of Physics, Volume 24, May 2022, 053032 Despite empirical successes of recurrent neural networks (RNNs) in natural language processing (NLP),…”
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