In PyQuil, we typically use integers to identify qubits
In [1]:
from pyquil.quil import Program
from pyquil.gates import CNOT, H
print(Program(H(0), CNOT(0, 1)))
However, when running on real, near-term QPUs we care about what particular physical qubits our program will run on. In fact, we may want to run the same program on an assortment of different qubits. This is where using QubitPlaceholder
s comes in.
In [2]:
from pyquil.quilatom import QubitPlaceholder
q0 = QubitPlaceholder()
q1 = QubitPlaceholder()
prog = Program(H(q0), CNOT(q0, q1))
print(prog)
If you try to use this program directly, it will not work
In [3]:
print(prog.out())
Instead, you must explicitly map the placeholders to physical qubits. By default, the function address_qubits
will address qubits from 0 to N.
In [4]:
from pyquil.quil import address_qubits
print(address_qubits(prog))
The real power comes into play when you provide an explicit mapping
In [5]:
print(address_qubits(prog, qubit_mapping={
q0: 14,
q1: 19,
}))
In [6]:
qbyte = QubitPlaceholder.register(8)
prog2 = Program(H(q) for q in qbyte)
print(address_qubits(prog2, {q: i*2 for i, q in enumerate(qbyte)}))