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Our Students Won Second Prize in the 14th APMCM Mathematical Contest in Modeling

· 2 min read
Zhengshou Lai
Zhengshou Lai
Associate Professor, School of Civil Engineering, Sun Yat-sen University

The student team guided by our group won the Second Prize (Undergraduate Group) in the 14th APMCM Asia and Pacific Mathematical Contest in Modeling.

Team Information:

  • Members: Zheng Zefeng, Mo Ziwei, Liang Weilin
  • Supervisor: Zhengshou Lai
  • Affiliation: School of Civil Engineering, Sun Yat-sen University
Award Certificate
Award Certificate
Award Certificate

Competition Information:

  • Competition: 14th APMCM Asia and Pacific Mathematical Contest in Modeling
  • Award: Second Prize (Undergraduate Group)
  • Date: October 2024

Competition Theme​

The team selected Problem D: Exploring Frontiers in Quantum-Accelerated AI. The problem focused on the intersection of quantum computing and artificial intelligence, requiring participants to transform classical machine learning problems into QUBO (Quadratic Unconstrained Binary Optimization) models and solve them using the simulated annealing algorithm provided by the SDK.

The team addressed three sub-problems:

  1. Cloud Computing Resource Demand Prediction — Based on 9 months of historical data, an AR (Autoregressive) time series model was built to predict October demand, which was then transformed into a QUBO model for solving;
  2. Iris Dataset Classification — The optimization problem of the SVM (Support Vector Machine) classifier was mapped into QUBO form to achieve quantum-accelerated classification;
  3. MNIST Handwritten Digit Recognition — A CNN (Convolutional Neural Network) model was constructed, with an attempt to transform its training process into a QUBO optimization problem.

The study demonstrated that the QUBO model achieved good solving performance on the first two tasks, validating the potential of quantum computing in AI optimization problems.