Skip to main content

View on GitHub

Open this notebook in GitHub to run it yourself
The Bitwise Or (denoted as ’|’) is implemented by applying the following truth table between each pair of qubits (or qubit and bit) in variables A and B. Note that integer and fixed-point numbers are represented in a two-complement method during function evaluation. The binary number is extended in the case of a variable size mismatch. For example, the positive signed number (110)2=6(110)_2=6 is expressed as (00110)2(00110)_2 when operating with a five-qubit variable. Similarly, the negative signed number (110)2=−2(110)_2=-2 is expressed as (11110)2(11110)_2. Examples: 5 | 3 = 7 since 101 | 011 = 111 5 | -3 = -3 since 0101 | 1101 = 1101 -5 | -3 = -1 since 1011 | 1101 = 1111

​
Examples

​

​
Example 1: Two Quantum Variables

This example generates a quantum program that performs bitwise ‘or’ between two variables. The left arg is a signed with five qubits and the right arg is unsigned with three qubits. 
from classiq import *


@qfunc
def main(a: Output[QNum], b: Output[QNum], res: Output[QNum]) -> None:
    allocate(5, True, 0, a)
    allocate(3, False, 0, b)
    a ^= 4
    b ^= 5
    res |= a | b


qmod = create_model(main)


qprog = synthesize(qmod)

result = execute(qprog).result_value()
print(result.parsed_counts)
print(result.counts_of_multiple_outputs(["a", "b", "res"]))
Output:
[{'a': 4.0, 'b': 5.0, 'res': 5.0}: 1000]
  {('00100', '101', '10100'): 1000}

​

​
Example 2: Integer and Quantum Variable

This example generates a quantum program that performs a bitwise ‘or’ between a quantum variable and an integer. The left arg is an integer equal to three and the right arg is an unsigned quantum variable with three qubits. 
@qfunc
def main(a: Output[QNum], res: Output[QNum]) -> None:
    a |= 4
    res |= 3 | a


qmod = create_model(main)


qprog = synthesize(qmod)

result = execute(qprog).result_value()
result.parsed_counts
Output:
[{'a': 4.0, 'res': 7.0}: 1000]