WiMi's QFNN training algorithm relies on several key quantum computing subroutines, with the most critical components being the quantized feedforward and backpropagation processes.

Eventually, multivariable, model-predictive control replaced simpler APC approaches and algorithms for both feedforward and feedback control of complex process control applications. But, throughout ...

Get faster, more precise motion with fewer unwanted oscillations and overshoots, thanks to a new algorithm. Servo controllers commonly use traditional cascaded configurations in which a velocity loop ...

Based on non-linear dynamic robot models, feedforward control is used to maximize robot speed of the reference trajectory, and feedback control is used to improve contour following by vibration ...

The research described in this paper focuses on the fact that engine vibration is estimated from a fluctuation in crank rotation, and feedforward control algorithm without an exclusive sensor for load ...

Quantum Feedforward Propagation: Classical feedforward propagation involves multiple matrix-vector multiplications. WiMi's quantum algorithm leverages quantum state superposition and coherence to ...

Beijing, April 23, 2025 (GLOBE NEWSWIRE) -- WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm BEIJING, Apr. 23, 2025--WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" ...