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Given two dense multivectors of the Clifford algebra with coefficients, the fastest known classical algorithms compute their geometric product in arithmetic operations, where denotes the matrix multiplication exponent. I show that, under amplitude encoding, a quantum computer executes the geometric product in time, using logarithmic space with sublogarithmic circuit depth. This exponential speedup establishes Clifford multiplication as a quantum primitive, providing an efficient computational foundation for quantum geometric algorithms and relativistic simulations.

生成讲解博客的中文版本

生成AI智能校验的中文版本