9 citations · 11 across the 9 of their papers we have counts for
9 papers
Hardware-Efficient Exchange-Only QML: Singlet-Triplet Spin Chains via Inter-pair Coupling without Magnetic Gradients
Yuichiro Minato
Standard universal quantum computing using exchange-only qubits typically requires three physical spins per logical qubit, leading to significant hardware overhead. Conversely, two…
Quantum Optimization-Based Route Compression for Efficient Navigation Systems
Shunsuke Sotobayashi, Yuichiro Minato, Takao Tomono
We present a novel quantum optimization-based route compression technique that significantly reduces storage requirements compared to conventional methods. Route optimization syste…
A Simplification Method for Inequality Constraints in Integer Binary Encoding HOBO Formulations
Yuichiro Minato
This study proposes a novel method for simplifying inequality constraints in Higher-Order Binary Optimization (HOBO) formulations. The proposed method addresses challenges associat…
Numerical Exploration of the Pythagorean Theorem Using HOBO Algorithm
Shoya Yasuda, Naoaki Mochida, Shunsuke Sotobayashi +2
This paper introduces a novel method for finding integer sets that satisfy the Pythagorean theorem by leveraging the Higher-Order Binary Optimization (HOBO) formulation. Unlike the…
Two-Step QAOA: Enhancing Quantum Optimization by Decomposing K-hot Constraints in QUBO Formulations
Yuichiro Minato
The Quantum Approximate Optimization Algorithm (QAOA) has shown promise in solving combinatorial optimization problems by leveraging quantum computational power. We propose a simpl…
HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch
Shoya Yasuda, Shunsuke Sotobayashi, Yuichiro Minato
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 developed based on P…
Tensor Network Based HOBO Solver
Yuichiro Minato
In the field of quantum computing, combinatorial optimization problems are typically addressed using QUBO (Quadratic Unconstrained Binary Optimization) solvers. However, these solv…
Application of Tensorized Neural Networks for Cloud Classification
Alifu Xiafukaiti, Devanshu Garg, Aruto Hosaka +3
Convolutional neural networks (CNNs) have gained widespread usage across various fields such as weather forecasting, computer vision, autonomous driving, and medical image analysis…
Workflow for practical quantum chemical calculations with quantum phase estimation algorithm: electronic ground and π-π* excited states of benzene and its derivatives†
Yusuke Ino, Misaki Yonekawa, Hideto Yuzawa +2
Quantum computers are expected to perform the full-configuration interaction calculations with less computational resources compared to classical ones, thanks to the use of the qua…