QMM-Enhanced Error Correction: Demonstrating Reversible Imprinting and Retrieval for Robust Quantum Computation

The first hardware evidence is reported that a Quantum Memory Matrix (QMM) - conceived as a Planck-scale lattice of finite-dimensional memory cells - functions as an ultra-shallow, measurement-free error-suppression layer for noisy intermediate-scale quantum processors. On a seven-qubit IBM transmon device, quantum states are imprint onto local cells with single-qubit $R_y$ and nearest-neighbor $CRY$ gates and later retrieve them through a controlled-SWAP, guaranteeing unitary reversibility. A single imprint–retrieval cycle attains a hardware fidelity of $0.73\pm 0.01$; prepending the same layer to a conventional $[3,1,3]$ repetition code boosts the logical fidelity to $0.941\pm 0.004$ - a 32 % improvement obtained without additional CX gates. Incorporating the layer into a variational quantum classifier lowers the final training loss by 35 % and halves run-to-run variance, evidencing its value for hybrid quantum-classical workloads. Noise-calibrated simulations further show that stacking three QMM layers brings the logical error rate to within 20 % of a distance-three surface code while using an order of magnitude fewer qubits. Because the QMM booster is fully unitary and eschews mid-circuit measurement, it is directly compatible with platforms where rapid stabilizer read-out is impractical and provides empirical support for the broader notion that space-time itself may behave as a distributed quantum memory.