Error VQC training when using binary number list(0,1) as feature

[Herutriana44]

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System Requirements

• Qiskit Machine Learning version: 0.6.1
• Qiskit: 0.25.1
• Python version: 3.11.4
• Operating system: windows 10

Error

when i using binary number list(0,1) as feature, i got this error

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File [c:\Users\herutriana44\AppData\Local\Programs\Python\Python311\Lib\site-packages\qiskit_machine_learning\neural_networks\sampler_qnn.py:360](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:360), in SamplerQNN._forward(self, input_data, weights)
    [359](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:359) try:
--> [360](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:360)     results = job.result()
    [361](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:361) except Exception as exc:

File [c:\Users\herutriana44\AppData\Local\Programs\Python\Python311\Lib\site-packages\qiskit\primitives\primitive_job.py:55](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit/primitives/primitive_job.py:55), in PrimitiveJob.result(self)
     [54](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit/primitives/primitive_job.py:54) self._check_submitted()
---> [55](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit/primitives/primitive_job.py:55) return self._future.result()

File [c:\Users\herutriana44\AppData\Local\Programs\Python\Python311\Lib\concurrent\futures\_base.py:456](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:456), in Future.result(self, timeout)
    [455](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:455) elif self._state == FINISHED:
--> [456](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:456)     return self.__get_result()
    [457](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:457) else:

File [c:\Users\herutriana44\AppData\Local\Programs\Python\Python311\Lib\concurrent\futures\_base.py:401](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:401), in Future.__get_result(self)
    [400](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:400) try:
--> [401](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:401)     raise self._exception
    [402](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:402) finally:
    [403](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/_base.py:403)     # Break a reference cycle with the exception in self._exception

File [c:\Users\herutriana44\AppData\Local\Programs\Python\Python311\Lib\concurrent\futures\thread.py:58](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/thread.py:58), in _WorkItem.run(self)
     [57](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/thread.py:57) try:
---> [58](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/concurrent/futures/thread.py:58)     result = self.fn(*self.args, **self.kwargs)
...
--> [362](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:362)     raise QiskitMachineLearningError("Sampler job failed.") from exc
    [363](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:363) result = self._postprocess(num_samples, results)
    [365](file:///C:/Users/herutriana44/AppData/Local/Programs/Python/Python311/Lib/site-packages/qiskit_machine_learning/neural_networks/sampler_qnn.py:365) return result

QiskitMachineLearningError: 'Sampler job failed.'

but, when i was change feature from binary list(every list, has 30 values in integer) to integer list(has 2 values in integer). in bottom, my dataset, my plan i use dna binary as feature(i've changed to list binary) but i got error. but if i use 0 and 1 as feature(this columns are count 0 or 1 in string dna binary), i don't get this error.

i        dna binary	0	1	label
0	0100001000010100010000010010001100100010001001...	43	17	alpha
1	0100001100100010010001000001001000010010000101...	44	16	beta
2	0100001000010010001000010001000100010100010000...	45	15	beta
3	0100001000010010001000010001000100010100010000...	44	16	beta
4	0010001101000001001101000010001100100010001001...	42	18	beta

in bottom, vqc code for dna binary

feature_map = ZZFeatureMap(feature_dimension=len(X[0]), reps=3, entanglement="linear") # len(X[0]) = 30
ansatz = TwoLocal(feature_map.num_qubits, ["ry", "rz"], "cz", reps=3)
vqc = VQC(
                feature_map=feature_map,
                ansatz=ansatz,
                optimizer=COBYLA(maxiter=100),
            )

in bottom, vqc code for 0 and 1 column

feature_map = ZZFeatureMap(feature_dimension=2, reps=3, entanglement="linear") # len(X[0]) = 30
ansatz = TwoLocal(feature_map.num_qubits, ["ry", "rz"], "cz", reps=3)
vqc = VQC(
                feature_map=feature_map,
                ansatz=ansatz,
                optimizer=COBYLA(maxiter=100),
            )

any idea for this error?