On the Baltimore Light RailLink into the quantum future

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Publikašuvnnas:Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 29576-29594
Váldodahkki: Domino, Krzysztof
Eará dahkkit: Doucet, Emery, Robertson, Reece, Gardas, Bartłomiej, Deffner, Sebastian
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Nature Publishing Group
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100 1 |a Domino, Krzysztof  |u Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland (ROR: https://ror.org/01dr6c206) (GRID: grid.413454.3) (ISNI: 0000 0001 1958 0162) 
245 1 |a On the Baltimore Light RailLink into the quantum future 
260 |b Nature Publishing Group  |c 2025 
513 |a Journal Article 
520 3 |a 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-hard optimization problems. Acknowledging the fact that quantum methods underperform classical solvers, the primary goal of our research is to demonstrate how to leverage quantum noise as a computational resource for optimization. This work aims to showcase how the inherent noise in NISQ devices can be leveraged to solve such real-world problems effectively. Utilizing a D-Wave quantum annealer and IonQ’s gate-based NISQ computers, we generate and analyze solutions for managing train traffic under stochastic disturbances. Our case study focuses on the Baltimore Light RailLink, which embodies the characteristics of both tramway and railway networks. We explore the feasibility of using NISQ technology to model the stochastic nature of disruptions in these transportation systems. Our research marks the inaugural application of both quantum computing paradigms to tramway and railway rescheduling, highlighting the potential of quantum noise as a beneficial resource in complex optimization scenarios. 
651 4 |a Baltimore Maryland 
651 4 |a United States--US 
653 |a Scheduling 
653 |a Trains 
653 |a Quantum computing 
653 |a Computers 
653 |a Infrastructure 
653 |a Mathematical models 
653 |a Traffic 
653 |a Optimization 
653 |a Linear programming 
653 |a Algorithms 
653 |a Economic 
700 1 |a Doucet, Emery  |u Department of Physics, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264); Quantum Science Institute, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264) 
700 1 |a Robertson, Reece  |u Department of Physics, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264); Quantum Science Institute, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264); Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264) 
700 1 |a Gardas, Bartłomiej  |u Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland (ROR: https://ror.org/01dr6c206) (GRID: grid.413454.3) (ISNI: 0000 0001 1958 0162) 
700 1 |a Deffner, Sebastian  |u Department of Physics, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264); Quantum Science Institute, University of Maryland, Baltimore County, 21250, Baltimore, MD, USA (ROR: https://ror.org/04rq5mt64) (GRID: grid.411024.2) (ISNI: 0000 0001 2175 4264); National Quantum Laboratory, 20740, College Park, MD, USA 
773 0 |t Scientific Reports (Nature Publisher Group)  |g vol. 15, no. 1 (2025), p. 29576-29594 
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