from qiskit import Aer, QuantumCircuit, execute
from qiskit.providers import BaseBackend
def store_two_classics(val1: int, val2: int) -> tuple[QuantumCircuit, str, str]:
"""
Generates a Quantum Circuit which stores two classical integers
Returns the circuit and binary representation of the integers
"""
x, y = bin(val1)[2:], bin(val2)[2:]
if len(x) > len(y):
y = y.zfill(len(x))
else:
x = x.zfill(len(y))
circuit = QuantumCircuit((len(x) * 3) + 1, len(x) + 1)
for i in range(len(x)):
if x[::-1][i] == "1":
circuit.x(i)
for j in range(len(y)):
if y[::-1][j] == "1":
circuit.x(len(x) + j)
return circuit, x, y
def full_adder(
circuit: QuantumCircuit,
input1_loc: int,
input2_loc: int,
carry_in: int,
carry_out: int,
):
"""
Quantum Equivalent of a Full Adder Circuit
CX/CCX is like 2-way/3-way XOR
"""
circuit.ccx(input1_loc, input2_loc, carry_out)
circuit.cx(input1_loc, input2_loc)
circuit.ccx(input2_loc, carry_in, carry_out)
circuit.cx(input2_loc, carry_in)
circuit.cx(input1_loc, input2_loc)
def ripple_adder(
val1: int, val2: int, backend: BaseBackend = Aer.get_backend("qasm_simulator")
) -> int:
"""
Quantum Equivalent of a Ripple Adder Circuit
Uses qasm_simulator backend by default
Currently only adds 'emulated' Classical Bits
but nothing prevents us from doing this with hadamard'd bits :)
Only supports adding +ve Integers
>>> ripple_adder(3, 4)
7
>>> ripple_adder(10, 4)
14
>>> ripple_adder(-1, 10)
Traceback (most recent call last):
...
ValueError: Both Integers must be positive!
"""
if val1 < 0 or val2 < 0:
raise ValueError("Both Integers must be positive!")
circuit, x, y = store_two_classics(val1, val2)
"""
We are essentially using each bit of x & y respectively as full_adder's input
the carry_input is used from the previous circuit (for circuit num > 1)
the carry_out is just below carry_input because
it will be essentially the carry_input for the next full_adder
"""
for i in range(len(x)):
full_adder(circuit, i, len(x) + i, len(x) + len(y) + i, len(x) + len(y) + i + 1)
circuit.barrier()
for i in range(len(x) + 1):
circuit.measure([(len(x) * 2) + i], [i])
res = execute(circuit, backend, shots=1).result()
return int(list(res.get_counts().keys())[0], 2)
if __name__ == "__main__":
import doctest
doctest.testmod()