works on

From the 1 of 17 linked papers with an AI index.

collaborators

17 papers

quant-ph2026

Polynomial Time Quantum Approximation Schemes for Constrained Optimisation

Chinonso Onah, Kristel Michielsen

When does a noisy quantum sampler yield an end-to-end polynomial-time optimization algorithm with performance guarantees? Building on finite-depth and finite-shot guarantees for Co…

quant-ph2026

Hardware-in-the-Loop Syndrome-to-Decoder Validation for Repetition, Surface, CSS-LDPC, and Digitized-GKP Codes

Dennis Delali Kwesi Wayo, Chinonso Onah, Rodrigo Alves Dias +2

Quantum error-correction experiments increasingly require a verified interface between measured syndrome bits and decoder-native correction requests. We report a four-branch syndro…

quant-ph2026

Decoder Comparability Across Quantum Software Stacks: Repeated-Round Surface and Digitized-GKP Syndrome Replay

Dennis Delali Kwesi Wayo, Chinonso Onah, Rodrigo Alves Dias +2

We present a contract-preserving, family-aware comparison of decoder behavior across four syndrome-generation stacks (PennyLane, Qiskit, Cirq, and a LiDMaS+ reference) under a fixe…

quant-ph2026

Separating Geometry From Interference in Constrained Quantum Optimization

Chinonso Onah, Stuart Hadfield, Kristel Michielsen

The paper analyzes how constraint‑preserving mixing operators move quantum amplitudes in constrained optimization problems and shows that quantum advantage depends on aligning the…

quant-ph2026

Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement

Chinonso Onah, Kristel Michielsen

We study fundamental limitations of the generic Quantum Approximate Optimization Algorithm (QAOA) on constrained problems where valid solutions form a low dimensional manifold insi…

quant-ph2026

Decoder Dependence in Surface-Code Threshold Estimation under Digitized Hybrid Continuous-Variable and Discrete Noise

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1

Surface-code threshold estimates depend on the inference pipeline, including decoder and estimator choices. We compare decoders within a single LiDMaS+ workflow under Pauli-referen…