Counts¶

class Counts(data, time_taken=None, creg_sizes=None, memory_slots=None)[소스]¶

기반 클래스: dict

A class to store a counts result from a circuit execution.

Build a counts object

매개변수

data (dict) –
The dictionary input for the counts. Where the keys represent a measured classical value and the value is an integer the number of shots with that result. The keys can be one of several formats:
- A hexadecimal string of the form '0x4a'
- A bit string prefixed with 0b for example '0b1011'
- A bit string formatted across register and memory slots. For example, '00 10'.
- A dit string, for example '02'. Note for objects created with dit strings the creg_sizes and memory_slots kwargs don’t work and hex_outcomes() and int_outcomes() also do not work.
time_taken (float) – The duration of the experiment that generated the counts in seconds.
creg_sizes (list) – a nested list where the inner element is a list of tuples containing both the classical register name and classical register size. For example, [('c_reg', 2), ('my_creg', 4)].
memory_slots (int) – The number of total memory_slots in the experiment.

예외 발생

TypeError – If the input key type is not an int or str.
QiskitError – If a dit string key is input with creg_sizes and/or memory_slots.

Methods

`clear`
`copy`
`fromkeys`	Create a new dictionary with keys from iterable and values set to value.
`get`	Return the value for key if key is in the dictionary, else default.
`hex_outcomes`	Return a counts dictionary with hexadecimal string keys
`int_outcomes`	Build a counts dictionary with integer keys instead of count strings
`items`
`keys`
`most_frequent`	Return the most frequent count
`pop`	If key is not found, d is returned if given, otherwise KeyError is raised
`popitem`	Remove and return a (key, value) pair as a 2-tuple.
`setdefault`	Insert key with a value of default if key is not in the dictionary.
`shots`	Return the number of shots
`update`	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
`values`

Attributes