Quantum State Transitions and Adaptive Quantum Computing

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum state transitions are a fundamental aspect of quantum mechanics, driving the evolution of quantum states and enabling quantum algorithms. This paper presents a novel framework for quantum computing based on the dynamic changes in quantum states, aiming to automate the execution of complex algorithms. We propose a self-adaptive quantum computing framework leveraging these transitions to achieve enhanced computational capabilities. The core mechanism centers around the controlled manipulation of quantum states through continuous transitions, allowing for automated optimization of quantum circuits. This approach contrasts with traditional quantum computing methods which often rely on pre-defined gate sequences. We demonstrate the framework's potential through a simplified, illustrative example of a quantum algorithm. The paper concludes with a discussion of future research directions and potential applications.

DOI: 10.5281/zenodo.22510964

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