MicroCloud Hologram (HOLO, Financial) has unveiled a breakthrough in quantum computing with the creation of a nonlinear quantum optimization algorithm. This algorithm, highlighted by its dependency on efficient model encoding technology, significantly boosts computational efficiency while minimizing quantum resource usage. By breaking through existing limitations of traditional quantum optimization techniques, HOLO's innovation showcases superior performance in practical scenarios, opening doors for quantum computing's broader industrial application.
Conventional methods have heavily relied on the Variational Quantum Algorithm framework, which demands substantial computational resources due to its complex quantum circuits. In contrast, HOLO's approach leverages two major advancements: multi-basis graph encoding and nonlinear activation functions. These techniques allow for the effective representation of complex optimization problems using fewer qubits. HOLO's optimized tensor network structure facilitates mapping high-dimensional spaces efficiently, significantly reducing circuit complexity while enhancing computational throughput.
