Adaptive Quantum Tensor
Jincheng Zhang
Abstract
This paper investigates the potential of adaptive quantum tensors as a novel approach to quantum computation, focusing on achieving high precision and low latency. The core idea centers around leveraging quantum entanglement to enable enhanced computational capabilities. We explore the concept of the "Adaptive Quantum Tensor" – a framework designed to exploit quantum entanglement for more sophisticated calculations than traditional methods. The paper begins with a review of current limitations in quantum computation and proposes a new method that addresses these challenges. We detail the implementation of the Adaptive Quantum Tensor, outlining its mathematical foundation and the underlying principles of entanglement-based processing. The paper concludes with a discussion of the potential implications of this approach and future research directions.