Speeding up Quantum pre-processing

[Malik7115]

Is there any way to speed up the process of Quantum pre-processing. In the following function:

def gen_qspeech(x_train, x_valid, kr): # kernal size = 2x2 or 3x3
    q_train = []
    print("Quantum pre-processing of train Speech:")
    for idx, img in enumerate(x_train):
        print("{}/{}        ".format(idx + 1, len(x_train)), end="\r")
        q_train.append(quanv(img, kr))
    q_train = np.asarray(q_train)

    q_valid = []
    print("\nQuantum pre-processing of test Speech:")
    for idx, img in enumerate(x_valid):
        print("{}/{}        ".format(idx + 1, len(x_valid)), end="\r")
        q_valid.append(quanv(img, kr))
    q_valid = np.asarray(q_valid)
    
    return q_train, q_valid

[huckiyang]

to replace qml backend to CuQuantum could fix this issue https://developer.nvidia.com/cuquantum-sdk