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Quantum Superposition with Classiq

Superposition is a key concept in all quantum algorithms. In this tutorial, we show how to create an equal superposition on 3 qubits, using the Hadamard transform.

from classiq import *

def my_hadamard_transform(reg_a: QArray[QBit]) -> None:
    apply_to_all(H, reg_a)

def main(register_a: Output[QArray[QBit]]) -> None:
    allocate(3, register_a)

model = create_model(main)
write_qmod(model, "equal_superposition_3_qubits")

qprog = synthesize(model)

circuit = QuantumProgram.from_qprog(qprog)

Mathematical Background

The 2x2 Hadamard matrix \( H \) is used to transform a single qubit's state. It is defined as: $$ H = \frac{1}{\sqrt{2}} \begin{bmatrix} 1 & 1 \ 1 & -1 \end{bmatrix} $$

Application to 3 Qubits: Applying the Hadamard transform \( H \) to each of three qubits initially in the state \(|000\rangle\) results in the superposition of all possible states. The combined operation for three qubits is the tensor product \(H \otimes H \otimes H\): $$ (H \otimes H \otimes H) |000\rangle = \frac{1}{\sqrt{8}} (|000\rangle + |001\rangle + |010\rangle + |011\rangle + |100\rangle + |101\rangle + |110\rangle + |111\rangle) $$ This represents an equal superposition of all eight possible states of the three qubits.