Our team aims to realize practical quantum computers by exploring desirable system and software designs for quantum computing. We first study the fundamentals of quantum computing and how today’s fault-tolerant quantum computers work, with the goal of enabling a broad, bird’s-eye understanding of the current landscape and future challenges. We then aim to contribute to the improvement and development of fault-tolerant quantum computers by introducing new ideas, methodologies, and implementations into overall system design and other critical components. Research topics are explored in collaboration with the supervisor based on each student’s interests and strengths, so that each student can work on a theme they feel genuinely motivated to pursue. The outcomes are first presented at domestic conferences, and then, depending on the content, submitted to physics journals and/or international conferences in computer science and related fields.

Because many of our research themes are grounded in how conventional computers work and in software development principles, we would be happy if you are interested in designing or improving new computer mechanisms and software systems. Specific knowledge of quantum computing and computer systems is learned through lectures and reading groups, depending on what you work on and what interests you. Below are examples of research topics that the faculty member has supervised or collaborated with students in the past domestic conference. For English papers, please refer to the Publications page.

Applying ideas for building efficient conventional computers to quantum computers

  • Improving computational efficiency by parallelizing loop computations over superposition states: QS6 (2022) Best Presentation Award
  • Improving quantum computer efficiency by running multiple programs concurrently: QS9 (2023) QS14 (2025) Student Encouragement Award
  • Reducing the required device scale by placing infrequently used data in slower but more efficient memory: QS11 (2024) Best Presentation Award
  • Accelerating distributed quantum computing by overlapping communication and computation: QS14 (2025)
  • Improving speed while maintaining accuracy by switching quantum error-correction methods depending on the situation: QS16 (2026)

Streamlining internal processing in quantum computers using algorithms and data structures

  • Efficiently managing locations affected by special quantum errors such as loss errors using a Fenwick tree: QS5 (2022) Best Presentation Award
  • Proposing a method to efficiently remove errors from imperfectly trained quantum generative models: QS6 (2022) Student Encouragement Award
  • Improving efficiency by precomputing part of error estimation and storing it in a lookup table: QS7 (2022)
  • Reproducing large-scale continuous-variable photonic quantum computing by combining small-scale photonic quantum computations: QIT48 (2023)
  • Efficient execution by decomposing complex quantum-computing subroutines into products of smaller operations: QIT48 (2022)
  • Reducing instruction scheduling to a 3D pathfinding problem and solving it as a graph problem: QS8 (2023) Student Encouragement Award

Safely designing quantum computing functionality and evaluating it quickly using supercomputers and programming

  • Proposing a safe and efficient way to describe complex quantum operations defined recursively: QS5 (2022)
  • Enabling compilation of fault-tolerant quantum programs into primitive instructions: QS6 (2022)
  • Accelerating computations in a quantum error-correction simulator using Fugaku: QS11 (2024) Student Encouragement Award

Making cutting-edge theory implementable in realistic physical systems by designing concrete implementations and removing obstacles in advance

  • Creating encoded quantum entanglement between two distant atomic ensembles: QS7 (2022)
  • Serializing quantum data to mitigate the impact of burst errors during communication: QS8 (2023)
  • Efficiently evaluating leakage errors (where qubit states leak out of the computational subspace) using tensor networks: QS9 (2023) Student Encouragement Award
  • Achieving error-tolerant communication under a speed mismatch between computation and communication: QS11 (2024)
  • Designing a basic instruction set for an architecture based on neutral atoms and HGP codes: QS14 (2025)

Developing software to control quantum computers

  • Launch of a cloud service for Japan’s third domestically produced superconducting quantum computer installed at Osaka University —building an environment to verify and improve domestic components and software to accelerate quantum computer development in Japan— (Commentary page)
  • Launch of a “quantum computing cloud service” enabling the use of quantum computers —public release of Japan’s first domestically produced superconducting quantum computer— (Commentary page)

Commentary articles on past press releases

  • Proposing a new quantum computer architecture separating memory and processors —opening a path toward practical quantum computing with a highly portable, memory-efficient design— (Commentary page)
  • What should future quantum computers aim for? —Toward quantum advantage with practical impact— (Commentary page)
  • World’s first proposal of a quantum computer architecture resilient to burst errors —realizing an error-correction mechanism that adapts to the operating conditions of a quantum computer— (Commentary page)
  • Developing a method to suppress errors in both quantum computing hardware and algorithms —proposing a general framework for improving operational accuracy— (Commentary page)
  • Developing technology to dramatically reduce the size of fault-tolerant quantum computers required for practical use —world’s first proposal of a hybrid approach combining quantum error correction and error suppression— (Commentary page)
  • World’s first development of a quantum error-correction method in a cryogenic environment enabling operations between logical qubits —a major step toward practical large-scale quantum computers— (Commentary page)
  • Developing a quantum error-correction method in a cryogenic environment for superconducting quantum computers —world’s first realization of a key technology for large-scale quantum computer development— (Commentary page)