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Qiskit validation stub for the Goldilocks controlled reduce circuit.
Note: Full OpenQASM 3.0 modules/gates may require Qiskit 1.0+ / qiskit-qasm3.
This script provides a skeleton for building an equivalent circuit in pure Qiskit
and running a small test on AerSimulator (classical bits for the data register).
"""
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit_aer import AerSimulator
from qiskit.compiler import transpile
import numpy as np
def build_goldilocks_controlled_reduce() -> QuantumCircuit:
"""
Build the circuit equivalent to goldilocks_controlled_reduce_explicit.
64 data + 1 ctrl + 2 ancilla = 67 qubits (ctrl is separate).
For simulation we usually measure only the data register.
"""
x = QuantumRegister(64, "x")
ctrl = QuantumRegister(1, "ctrl")
a = QuantumRegister(2, "a") # a[0], a[1]
cr = ClassicalRegister(64, "out")
qc = QuantumCircuit(x, ctrl, a, cr)
# TODO: Implement the unrolled ping-pong steps using qc.x, qc.cx, qc.ccx
# or load the .qasm file via qiskit.qasm3.load if available.
#
# Example skeleton for one lower_step (bit 0, a0 -> a1):
# qc.x(x[0])
# qc.cx(a[0], x[0])
# qc.x(x[0])
# qc.ccx(x[0], a[0], a[1])
# qc.x(x[0])
qc.measure(x, cr)
return qc
if __name__ == "__main__":
qc = build_goldilocks_controlled_reduce()
print(f"Circuit: {qc.num_qubits} qubits, depth ~{qc.depth()}")
# Small test (will be identity until the body is filled)
simulator = AerSimulator(method="matrix_product_state") # or "statevector" for small cases
# For 67 qubits only MPS or other approximate methods are feasible.
# Prefer unit tests on 8-bit or 16-bit truncated versions.
print("Skeleton ready. Fill in the gate sequence or use qasm3 loader.")
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