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20222026
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quant-ph2026

Separating Geometry From Interference in Constrained Quantum Optimization

Chinonso Onah, Stuart Hadfield, Kristel Michielsen

We study the separation of geometric effects from quantum interference in quantum optimization algorithms. Constrained optimization problems such as routing, assignment, and schedu…

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

Quantum optimization beyond QUBO for industrial logistics and scheduling

Juan F. R. Hernandez, Pavle Nikacevic, Enrique Solano +4

The increasing complexity of industrial scheduling and transport routing problems motivates the study of alternative optimization formulations and computational paradigms. In this…

quant-ph2026

Optimal, Qubit-Efficient Quantum Vehicle Routing via Colored-Permutations

Chinonso Onah, Kristel Michielsen

We formulate a global-position colored-permutation encoding for the capacitated vehicle routing problem. Each of the vehicles selects a disjoint partial permutation, and the su…