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Shu Tanaka

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Professor

Keio University

Japan

Research Interests

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Professors in Japan

Recent Grants

Grant: Open

多段階最適化のための量子・古典ハイブリッド基本アルゴリズムの構築と評価

Open Date: 2023-12-01

Close Date: 2028-03-01

Grant: Close

量子・AIハイブリッド技術の活用を加速する共通ライブラリ基盤の研究開発

Open Date: 2023-06-01

Close Date: 2026-03-01

Grant: Close

量子人材を創出するエコシステムづくり

Open Date: 2023-04-01

Close Date: 2026-03-01

Grant: Open

負性インダクタンスと熱ゆらぎを積極利用した複雑な最適化問題を解く量子アニーリング

Open Date: 2023-04-01

Close Date: 2028-03-01

Grant: Open

量子ソフトウェアとHPC・シミュレーション技術の共創によるサスティナブルAI研究拠点

Open Date: 2022-10-01

Close Date: 2032-03-01

Articles (28)

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Collaborators (8)

Fabian Key

TU Wien

AUSTRIA

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Shuta Kikuchi

Project Lecturer

Keio University

JAPAN

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Koji Tsuda

Professor

University of Tokyo

JAPAN

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Yuki Minamoto

Assistant Professor

Tokyo Institute of Technology

JAPAN

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Kenji Nawa

Senior Researcher

National Institute of Advanced Industrial Science and Technology (AIST)

JAPAN

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Yuya Seki

Keio University

JAPAN

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Mayu Muramatsu

Keio University

JAPAN

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Nozomu Togawa

Professor

Waseda University

JAPAN

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Shu Tanaka

Research Interests

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Recent Grants

Articles (28)

An Ising machine formulation for design updates in topology optimization of flow channels

Black-box optimization using factorization and Ising machines

Effectiveness of Cardinality-Return Weighted Maximum Independent Set Approach for Financial Portfolio Optimization

SWIFT-FMQA: Enhancing Factorization Machine With Quadratic-Optimization Annealing via Sliding Window

Development of Hamiltonian for Structural Applications by Quantum Annealing Assuming Finite Element Method

Evaluating the Solution Performance of the Augmented Lagrangian Function on Ising Machines

Frustration-enhanced quantum annealing correction models with additional inter-replica interactions

Fair Sampling with Temperature-Targeted QAOA Based on Quantum–Classical Correspondence Theory

Structural Comparison of Error Mitigation Methods for Ising Machines: Penalty-Spin Model versus Stacked Model

Factorization Machine from a Random Matrix Theory Perspective

Utilizing Intermediate States in Quantum Annealing for Multi-objective Optimization

Quantitative Analysis of the Effectiveness of Mid-anneal Measurement in Quantum Annealing

Improving the efficiency of quantum annealing with controlled diagonal catalysts

Machine Learning Supported Annealing for Prediction of Grand Canonical Crystal Structures

Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions

Impact of Fixing Spins in a Quantum Annealer with Energy Rescaling

Formulation of Correction Term in QUBO Form for Phase‐Field Model

Advantages of Fixing Spins in Quantum Annealing

Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization

Dynamical Process of a Bit-Width Reduced Ising Model With Simulated Annealing

Dynamical Process of a Bit-Width Reduced Ising Model With Simulated Annealing

Quantum Annealing Optimization Method for the Design of Barrier Materials in Magnetic Tunnel Junctions

Continuous black-box optimization with an Ising machine and random subspace coding

PyQUBO: Python Library for Mapping Combinatorial Optimization Problems to QUBO Form

How to Reduce the Bit-Width of an Ising Model by Adding Auxiliary Spins

Exact bounds for dynamical critical exponents of transverse-field Ising chains with a correlated disorder

Performance Comparison of Typical Binary-Integer Encodings in an Ising Machine

Designing metamaterials with quantum annealing and factorization machines

Collaborators (8)

Fabian Key

Shuta Kikuchi

Koji Tsuda

Yuki Minamoto

Kenji Nawa

Yuya Seki

Mayu Muramatsu

Nozomu Togawa

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