Tomography.py 文件源码

python
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项目:QGL 作者: BBN-Q 项目源码 文件源码
def process_tomo(seq, qubits, numPulses=4, measChans=None):
    '''
    Apply process tomography state prep. and readout pulses and measurement.

    Parameters
    -----------
    seq : a single entry list sequence to perform tomography on
    qubits : which qubits to act on
    numPulses : number of prep/readout pulses
    measChans : tuple of measurement channels to readout (defaults to individual qubit channels)
    '''
    if measChans is None:
        measChans = qubits
    measBlock = reduce(operator.mul, [MEAS(q) for q in measChans])

    seqs = []
    for k in range(numPulses**len(qubits)):
        for readoutBlock in create_tomo_blocks(qubits, numPulses):
            prepBlock = create_tomo_blocks(qubits, numPulses)[k]
            tomoseq = [prepBlock] + seq + [readoutBlock, measBlock]
            seqs.append(tomoseq)
    return seqs
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