Replace backend.calibration & backend.parameters with backend.properties

[ajavadia]

Fix #778

Summary

One major inconsistency between the defined spec/schemas and the current qiskit API is the methods backend.calibration and backend.parameters. The data returned from these should just be combined and returned via backend.properties.
The API doesn't have this endpoint yet, so this is a temporary hack in Qiskit to make the API consistent for 0.6 Should fix (along with a bunch of other FIXMEs) when the API finally gets updated.

The PR also does the following cleanups:

• Fixes a bug in the status schema that did not report backend name and version, like other backend calls.
• Fully remove some deprecated stuff (and messages) from _register.py and qasm_simulator_py

Details and comments

[ajavadia]

@dcmckayibm This is what i get from the merge of calibration and parameters. Can you check if this is all the information that should be contained in properties?

{'backend': 'ibmqx4',
 'fridge_parameters': {'Temperature': {'date': '-', 'unit': '-', 'value': []},
  'cooldownDate': '2017-09-07'},
 'last_update_date': '2018-09-11T10:01:05.000Z',
 'multi_qubit_gates': [{'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.025416565897270732},
   'name': 'CX1_0',
   'qubits': [1, 0],
   'type': 'CX'},
  {'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.025959274240280383},
   'name': 'CX2_0',
   'qubits': [2, 0],
   'type': 'CX'},
  {'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.025823578091021426},
   'name': 'CX2_1',
   'qubits': [2, 1],
   'type': 'CX'},
  {'gateError': {'date': '2018-09-11T10:01:05Z', 'value': 0.0752538677586006},
   'name': 'CX3_2',
   'qubits': [3, 2],
   'type': 'CX'},
  {'gateError': {'date': '2018-09-11T10:01:05Z', 'value': 0.04412209362278141},
   'name': 'CX3_4',
   'qubits': [3, 4],
   'type': 'CX'},
  {'gateError': {'date': '2018-09-11T10:01:05Z', 'value': 0.05384498081562386},
   'name': 'CX4_2',
   'qubits': [4, 2],
   'type': 'CX'}],
 'qubits': [{'T1': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 44},
   'T2': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 52.9},
   'buffer': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 10},
   'frequency': {'date': '2018-09-11T10:01:05Z',
    'unit': 'GHz',
    'value': 5.24983},
   'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.0006867731322012238},
   'gateTime': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 60},
   'name': 'Q0',
   'readoutError': {'date': '2018-09-11T10:01:05Z', 'value': 0.069}},
  {'T1': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 65.9},
   'T2': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 28.9},
   'buffer': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 10},
   'frequency': {'date': '2018-09-11T10:01:05Z',
    'unit': 'GHz',
    'value': 5.29578},
   'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.002662115274625232},
   'gateTime': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 60},
   'name': 'Q1',
   'readoutError': {'date': '2018-09-11T10:01:05Z', 'value': 0.057}},
  {'T1': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 43.2},
   'T2': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 38.7},
   'buffer': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 10},
   'frequency': {'date': '2018-09-11T10:01:05Z',
    'unit': 'GHz',
    'value': 5.35322},
   'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.0009443532335046134},
   'gateTime': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 60},
   'name': 'Q2',
   'readoutError': {'date': '2018-09-11T10:01:05Z', 'value': 0.028}},
  {'T1': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 48.5},
   'T2': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 20.3},
   'buffer': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 10},
   'frequency': {'date': '2018-09-11T10:01:05Z',
    'unit': 'GHz',
    'value': 5.43499},
   'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.001803112096824766},
   'gateTime': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 60},
   'name': 'Q3',
   'readoutError': {'date': '2018-09-11T10:01:05Z', 'value': 0.033}},
  {'T1': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 53.1},
   'T2': {'date': '2018-09-11T10:01:05Z', 'unit': 'µs', 'value': 12.1},
   'buffer': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 10},
   'frequency': {'date': '2018-09-11T10:01:05Z',
    'unit': 'GHz',
    'value': 5.17581},
   'gateError': {'date': '2018-09-11T10:01:05Z',
    'value': 0.0013737021608475342},
   'gateTime': {'date': '2018-09-11T10:01:05Z', 'unit': 'ns', 'value': 60},
   'name': 'Q4',
   'readoutError': {'date': '2018-09-11T10:01:05Z', 'value': 0.157}}]}

[jaygambetta]

@ajavadia lets not worry about the elements until we update the API. This looks good to me

[jaygambetta]

actually why not use merged_dict = {**base_dict, **other_dict} instead of making function.

[ajavadia]

@jaygambetta the merging is slightly more complicated because the arrays within the dicts need to be combined as well. For example, the key 'qubits' gives a list of properties for each qubit, and the elements of that list are dictionaries themselves: 'T1', 'T2', 'Frequency', 'GateError', 'GateTime', 'name'). Some of these come from calibrations, some from parameters.

The function I've written handles recursive merging for cases like this (dict inside list inside dict).

I rebased against master.

[diego-plan9]

Thanks @ajavadia - and specially for taking the time to catch and fully deprecate a number of things in the process 🎉

[jaygambetta]

This looks good.