activity
20232026
most citedHybrid quantum-classical computation for automatic guided vehicles scheduling

9 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Thermodynamic significance of QUBO encoding on quantum annealers

Emery Doucet, Zakaria Mzaouali, Reece Robertson +3

Quadratic unconstrained binary optimization (QUBO) is the standard interface to quantum annealers, yet a single constrained task admits many QUBO encodings whose penalty choices re…

quant-ph2025

EMU circulation planning for Silesian Railways: case study and a quantum approach

Ewa Kędziera, Wojciech Gamon, Mátyás Koniorczyk +3

We study daily rolling stock circulation planning for electric multiple units (EMUs) on a regional passenger network, focusing on services where identical EMUs may be coupled in pa…

quant-ph2025★ 2 cited

Simon's Period Finding on a Quantum Annealer

Reece Robertson, Emery Doucet, Zakaria Mzaouali +3

Dating to 1994, Simon's period-finding algorithm is among the earliest and most fragile of quantum algorithms. The algorithm's fragility arises from the requirement that, to solve…

quant-ph2024★ 5 cited

On the Baltimore Light RailLink into the quantum future

Krzysztof Domino, Emery Doucet, Reece Robertson +2

In the current era of noisy intermediate-scale quantum (NISQ) technology, quantum devices present new avenues for addressing complex, real-world challenges including potentially NP…

quant-ph2023★ 4 cited

Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach

Mátyás Koniorczyk, Krzysztof Krawiec, Ludmila Botelho +2

We address the applicability of a hybrid quantum-classical heuristics for practical railway rescheduling management problems. We build an integer linear programming model and solve…

quant-ph2023★ 9 cited

Hybrid quantum-classical computation for automatic guided vehicles scheduling

Tomasz Śmierzchalski, Jakub Pawłowski, Artur Przybysz +6

Motivated by recent efforts to develop quantum computing for practical, industrial-scale challenges, we demonstrate the effectiveness of state-of-the-art hybrid (not necessarily qu…