BUV Student Finds New Way to Predict Quantum Computer Problems

Quantum computing will help healthcare, manufacturing, and energy. Nga's research suggests a new way to predict when quantum computers will stop working. It combines physics and engineering.
The project uses quantum physics and reliability engineering to improve predictions and help with maintenance.
Nguyen Dieu Nga talked about her research on a new framework for quantum computing systems.
The project is called 'A Unified Hybrid Framework for Degradation Modeling in Quantum Computing Systems'. It was led by Associate Professor Ali Al-Dulaimi.
Al-Dulaimi said the research can help with maintenance problems in quantum computing.
Nga was interested in artificial intelligence, which led her to quantum computing.
Quantum computing can solve complex problems, especially with artificial intelligence.
The research will be sent to top academic journals, showing BUV students can contribute to international research.
Nga's project was one of 28 at Graduation Show 2026, which showed student research and applications.
The exhibition showed how students apply knowledge to real problems and new technology trends.
Many projects were shown at BUV's Graduation Show 2026.
The projects included intrusion detection and AI-powered waste classification.
The projects showed students' technical skills and practical thinking.
The event had visitors from technology companies in Vietnam.
Pham Quang Vinh said the students showed strong technical knowledge and creative problem-solving.
Vinh said the students are talented, creative, and have deep expertise.
The Graduation Show let students present their work to industry representatives and others.
Phung Ngoc Diep presented a project from her internship at Bosch Rexroth.
Diep developed a factory management system based on her internship challenge, now used by the company.
Diep said her project solved a real problem and is being used by Bosch Rexroth.
The Graduation Show showed how BUV's School of Computing & Innovative Technologies prepares students for new technologies and challenges.