Software Architect / Engineer

Takeru Ota

Sony Group Corporation / Waseda University, M.Eng.

01.

About

I'm a software architect and engineer at Sony Group Corporation, working on new business development in the Web3 space. Previously, I worked on mobile app development at Sony Honda Mobility. I hold a Master's degree in Computer Science from Waseda University, where I researched quantum computing algorithms for combinatorial optimization.

During my graduate studies, I simultaneously worked as a long-term intern at Quanmatic — a university spin-off — where I built production systems spanning backend APIs, cloud infrastructure, frontend UIs, and UI/UX design end-to-end.

I care about connecting new technology to real problems. My research showed that quantum-classical hybrid algorithms can solve optimization problems at scales previously out of reach — and I bring that same mindset to product engineering.

Interests
Photography Sony α7III Driving Road trips for photos Gaming PS5, Gran Turismo Football Casual futsal too
2026.08

Sony Group Corporation

Software Architect / Engineer

2026.04

Sony Honda Mobility Inc.

Software Engineer — Mobile App Development Team

2026.03

Waseda University, M.Eng.

Graduate School of Fundamental Science and Engineering

2024.04

Waseda University Graduate School

Research on quantum combinatorial optimization algorithms

2023.05

Quanmatic Inc. — Long-term Intern

Full-stack development: FastAPI · Next.js · AWS · UI/UX

2020.04

Waseda University, B.Eng.

Department of Computer Science and Communications Engineering

02.

Skills

Frontend & Mobile

HTML / CSS 8yr TypeScript 4yr React / Next.js 4yr Swift / SwiftUI 5yr Flutter / Dart 3yr Kotlin / KMP 3mo

Backend & Database

Python / FastAPI 6yr PostgreSQL 1yr PHP / WordPress 1yr Java 1yr

Cloud & Infrastructure

AWS 4yr Docker 3yr Linux 3yr Google Cloud 1yr

Research & AI

Qiskit 4yr PyTorch 4yr Fixstars Amplify 4yr LangGraph Strands Agents MCP

Web3 & Blockchain

Web3 / Blockchain Ethereum

Design & Tools

Figma / UI&UX 5yr Git / GitHub 6yr Jira / Confluence 3yr C 3yr
03.

Works

02. Internship · Quanmatic 2023 — 2024

Business Data Management App

Led end-to-end development of an internal tool to manage and clean operational data used for quantum optimization workflows. Designed the UI/UX in Figma, implemented the FastAPI backend, and built the Next.js frontend — all as a solo contributor.

03. Internship · Quanmatic 2024 — 2025

LLM × Quantum Optimization Web App (PoC)

Conceived and built a proof-of-concept web app that lets users interact with a quantum optimization engine in natural language. Connected LLM inference, web search, database retrieval, and the optimization solver via MCP, then validated it internally.

04. Side Project · Sony Honda Mobility 2026

Issue-to-PR Auto-generation CI/CD

Built a CI/CD pipeline using GitHub Actions and Claude Code that automatically generates implementation code from an issue description and opens a pull request — reducing the feedback loop for routine feature work on SHM's commercial mobile app.

05. Club Activity · Waseda University 2020 — 2022

Campus Festival App "AppRiko"

Developed and operated a mobile app and website for campus festival visitors as part of the Riko-ten Planning Committee — also leading UI/UX design, logo design, and branding for the app. In the third year, took on the IT Division Lead role, managing a 30-member cross-year team through requirements definition, onboarding, and release.

01. Research · Open Source

Personalized Course Selection System

履修最適化 問題説明図

Key Features

  • Original mathematical model accounting for preferences, commute days, free periods, and credit requirements simultaneously
  • First application of the quantum-classical hybrid algorithm pVSQA to course selection optimization

03. Internship · Quanmatic

LLM × Quantum Optimization Web App (PoC)

LLM × 量子最適化 アーキテクチャ図

Key Features

  • Natural language input drives the quantum optimization engine for route and schedule planning
  • Strands Agents orchestrate optimization, RAG, and web search agents via MCP protocol
  • Validated internally as a working proof-of-concept

05. Club Activity · Waseda University

Campus Festival App "AppRiko"

Key Features

  • Event Search
  • QR Stamp Rally
  • Restaurant Coupon Lottery
04.

Research

Quantum Computing for Combinatorial Optimization

My research addresses how quantum computers can solve combinatorial optimization problems that are computationally intractable for classical machines. I formalized personalized course selection as a new NP-hard optimization problem, proposed the first quantum-based model for it, and applied the hybrid quantum-classical algorithm pVSQA to successfully solve instances of up to 500 variables on a gate-model quantum computer — a scale record in the field.

In my master's research, I collaborated with the Quantum Laboratory, Fujitsu Research on large-scale optimization benchmarks using subQUBO decomposition combined with variational quantum algorithms.

2 journal papers / 9 international conferences / 9 domestic conferences

IEEE Author Profile ↗

Awards

  • ICCE 2025 Best Session Presentation Award

    IEEE International Conference on Consumer Electronics · Jan. 2025

  • Graduate School Academic Excellence Award

    Waseda University — Dept. of Computer Science and Communications Engineering · 2025

  • IPSJ Design Gaia 2025 Best Poster Award

    Information Processing Society of Japan · Dec. 2025

Selected Publications

View all publications ↗

Publications

Journal Papers (peer-reviewed)

International Conferences (peer-reviewed)

International Conferences (non-peer-reviewed)

  • Optimizing Personalized Course Selection via an Ising Machine

    T. Ota, K. Fukada, and N. Togawa — INQA 2024.

Domestic Conferences (Japanese)

  • イジングマシンを用いた動的待ち時間と休憩を考慮したアミューズメントパーク経路最適化手法

    高橋 俊介, 太田 岳, 戸川 望 — VLSI 設計技術研究会, Mar. 2026.

  • イジングマシンによるFormula 1レース開催スケジュール最適化問題の求解と評価

    長谷川 椋大, 冨田 柊, 太田 岳, 戸川 望 — VLSI 設計技術研究会, Mar. 2026.

  • FMAのためのランク学習を用いたQUBO構築手法

    太田 岳, 白井 達彦, 戸川 望 — デザインガイア 2025, Dec. 2025. ★優秀ポスター賞

  • イジングマシンと大規模言語モデルによる複数日旅程計画問題へのアプローチ

    田中 綺珠, 梶 翔馬, 太田 岳, 池上 裕香, 鮑 思雅, 戸川 望 — デザインガイア 2025, Dec. 2025. ★優秀ポスター賞

  • 制約パラメータ化を用いたスピン変数削減手法

    青木 来生, 太田 岳, 白井 達彦, 戸川 望 — デザインガイア 2025, Dec. 2025.

  • pVSQAを用いた履修最適化の一検討

    太田 岳, 白井 達彦, 戸川 望 — VLSI 設計技術研究会, Jun. 2025.

  • イジングマシンを用いた格子点削除法によるsubQUBO構築の評価

    三田 光希, 深田 佳祐, 太田 岳, 戸川 望 — VLSI 設計技術研究会, Jun. 2025.

  • QAOAを用いた履修最適化の一検討

    太田 岳, 深田 佳祐, 白井 達彦, 戸川 望 — デザインガイア 2024, Dec. 2024.

  • イジングマシンを用いた履修科目最適化

    太田 岳, 深田 佳祐, 戸川 望 — VLSI 設計技術研究会, Jun. 2024.