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01. Research · Open Source

Personalized Course Selection System

2022 — 2026

履修最適化 問題説明図

Modeled university course selection as a quantum combinatorial optimization problem for the first time in academic literature. Proposed a hybrid quantum-classical approach applying pVSQA, and successfully solved 500-variable instances on gate-model quantum computers — a scale record in the domain.

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