Utilizes GPU-accelerated computing to quickly find the optimal solution for QUBO problems, supporting over 100,000 variables and
expandable with GPU hardware upgrades.
Provides a seamless integration interface compatible with PyQUBO, making it easy for users to develop applications.
CGA has broad applications in multiple fields, including but not limited to:
Optimizes investment portfolio allocation, accelerates the computation of derivative pricing and risk management models.
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