Juq-405 May 2026

Developers write hybrid programs in JUQ‑Lang, a Python‑style DSL that compiles to a combination of:

Example snippet:

from juq import *
@q_kernel
def phase_estimation(qubits):
    H(qubits[0])
    for i in range(1, len(qubits)):
        controlled_Rz(qubits[i], 2**i * np.pi/8, qubits[0])
    QFT(qubits)
@c_kernel
def post_process(results):
    # Classical post‑processing of measurement outcomes
    probs = np.bincount(results) / len(results)
    return np.argmax(probs)
def main():
    qreg = allocate_qubits(9)          # 9 logical qubits → 405 physical
    phase_estimation(qreg)
    meas = measure(qreg)
    result = post_process(meas)
    print("Estimated phase:", result)

The compiler maps the 9 logical qubits onto the 405‑qubit physical lattice using graph‑embedding to minimize SWAP overhead. JUQ-405

| Benchmark | Description | Quantum Depth | Classical Overhead | |-----------|-------------|---------------|--------------------| | VQE‑H2 | Variational quantum eigensolver for H₂ molecule (sto‑3g) | 150 | 0.8 ms | | QAOA‑MaxCut (50‑node) | Quantum Approximate Optimization Algorithm for Max‑Cut | 250 | 1.2 ms | | Quantum‑CNN (MNIST) | Hybrid quantum‑convolutional network for digit classification | 300 | 2.1 ms | | Shor‑21 | Factoring 21 using quantum period finding | 420 | 1.5 ms | Developers write hybrid programs in JUQ‑Lang , a

Director Ma Bando utilizes a very specific visual language that defines the Madonna look: Example snippet: from juq import * @q_kernel def