本文将以改进后的单细胞FPTA2作为硬件演化平台，引入QEA控制其演化过程，通过实验证明在该平台上，QEA对演化过程的控制效果要优于传统的遗传算法。-This paper proposes the use of quantum-inspired evolutionary algorithm in analog evolvable hardware (EHW). The circuit coding representation, chromosome fitness evaluation method and evolution process of the analog EHW are presented. By the experiments of evolving the circuits of amplifier, full-wave rectifier, integrator and OR-gate on the second generation field programmable transistor array (FPTA-2), the evolutionary performances of are demonstrated. Results show that QEA could get better results and with higher evolutionary speed than genetic algorithm