mindquantum.core.gates.MeasureResult

mindquantum.core.gates.MeasureResult#

class mindquantum.core.gates.MeasureResult#

Measurement result container.

Examples

>>> from mindquantum.algorithm.library import qft
>>> from mindquantum.simulator import Simulator
>>> sim = Simulator('mqvector', 2)
>>> res = sim.sampling(qft(range(2)).measure_all(), shots=1000, seed=42)
>>> res
shots: 1000
Keys: q1 q0│0.00   0.065        0.13       0.194       0.259       0.324
───────────┼───────────┴───────────┴───────────┴───────────┴───────────┴
         00│▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
           │
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           │
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           │
{'00': 230, '01': 254, '10': 257, '11': 259}
>>> res.data
{'00': 230, '01': 254, '10': 257, '11': 259}
add_measure(measure)#

Add a measurement gate into this measurement result container.

Measure key should be unique in this measurement result container.

Parameters:

measure (Union[Iterable, Measure]) – One or more measure gates.

collect_data(samples)#

Collect the measured bit string.

Parameters:

samples (numpy.ndarray) – A two dimensional (N x M) numpy array that stores the sampling bit string in 0 or 1, where N represents the number of shot times, and M represents the number of keys in this measurement container

property data#

Get the sampling data.

Returns:

dict, The sampling data.

property keys#

Get the list of measurement keys.

Note

The variable MeasureResult.keys has been unified to little-endian order in version 0.10, which means the order of keys has been reversed from the previous big-endian format. If you used this variable in version 0.9, please review and adjust your code carefully.

property keys_map#

Reverse mapping for the keys.

reverse_endian()#

Reverse the endianness of the measurement result.

This function reverses the order of bits in each bit string of the measurement result, and also reverses the order of keys.

Returns:

MeasureResult, A new MeasureResult object with reversed endian.

property samples#

Get the sampling result array.

Note

The variable MeasureResult.samples has been unified to little-endian order in version 0.10, which means the columns of the samples array have been reversed from the previous big-endian format. If you used this variable in version 0.9, please review and adjust your code carefully.

select_keys(*keys)#

Select certain measurement keys from this measurement container.

Parameters:

keys (tuple[str]) – The key you want to select.

Examples

>>> from mindquantum.algorithm.library import qft
>>> from mindquantum.core.gates import H
>>> from mindquantum.simulator import Simulator
>>> circ = qft(range(2)).measure('q0_0', 0).measure('q1_0', 1)
>>> circ.h(0).measure('q0_1', 0)
>>> circ
      ┏━━━┓ ┏━━━━━━━━━┓         ┍━━━━━━━━┑ ┏━━━┓ ┍━━━━━━━━┑
q0: ──┨ H ┠─┨ PS(π/2) ┠───────╳─┤ M q0_0 ├─┨ H ┠─┤ M q0_1 ├───
      ┗━━━┛ ┗━━━━┳━━━━┛       ┃ ┕━━━━━━━━┙ ┗━━━┛ ┕━━━━━━━━┙
                 ┃      ┏━━━┓ ┃ ┍━━━━━━━━┑
q1: ─────────────■──────┨ H ┠─╳─┤ M q1_0 ├────────────────────
                        ┗━━━┛   ┕━━━━━━━━┙
>>> sim = Simulator('mqvector', circ.n_qubits)
>>> res = sim.sampling(circ, shots=500, seed=42)
>>> new_res = res.select_keys('q0_1', 'q1_0')
>>> new_res
shots: 500
Keys: q1_0 q0_1│0.00   0.068       0.136       0.204       0.272        0.34
───────────────┼───────────┴───────────┴───────────┴───────────┴───────────┴
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               │
{'00': 127, '01': 107, '10': 136, '11': 130}
svg(style=None)#

Display current measurement result into SVG picture in jupyter notebook.

Parameters:

style (dict, str) – the style to set svg style. Currently, we support 'official'. Default: None.

to_json(filename=None)#

Convert the measure result to JSON format and optionally save to a file.

Parameters:

filename (str) – The name of the file to save the JSON. Default: None.

Returns:

str, JSON representation of the object.

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