Multiple Target Tracking and Filtering Using Bayesian Diabatic Quantum Annealing

McCormick, Timothy M.; Klain, Zipporah; Herbert, Ian; Charles, Anthony M.; Angle, Robert Blair; Osborn, Bryan R.; Streit, Roy L.

doi:10.1109/sdf55338.2022.9931948

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Algorithm, leveraging qubits, facilitate efficient multi-target tracking by holding multiple track states simultaneously. This capability is especially advantageous for predicting and updating tracks of airborne targets, offering a significant enhancement over current tracking methods [29]. The topic of multi-target/multi-hypothesis quantum algorithms is still in its early stages.…”

Section: Quantum Radiolocationmentioning

confidence: 99%

Students’ view of Quantum Information Technologies, part 2

Wojtkowski,

Bartoszewski,

Buchwald

et al. 2024

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

The aim of the paper is to show how graduated engineering students in classical ICT view practically the advent of the QIT. The students do their theses in El.Eng. and ICT and were asked how to implement now or in the future the QIT in their current or future work. Most of them have strictly defined research topics and in some cases the realization stage is advanced. Thus, most of the potential QIT application areas are defined and quite narrow. In such a case, the issue to be considered is the incorporation of QIT components and interfaces into the existing ICT infrastructure, software and hardware alike, and propose a solution as a reasonable functional hybrid system. The QIT components or circuits are not standalone in most cases, they should be somehow incorporated into existing environment, with a measurable added value. Not an easy task indeed. We have to excuse the students if the proposed solutions are not ripe enough. The exercise was proposed as an on-purpose publication workshop, related strictly to the fast and fascinating development of the QIT. The paper is a continuation of publishing exercises with previous groups of students participating in QIT lectures.

show abstract

Section: Quantum Radiolocationmentioning

confidence: 99%

Students’ view of Quantum Information Technologies, part 2

Wojtkowski,

Bartoszewski,

Buchwald

et al. 2024

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

show abstract

“…Research on MOT using QA or adiabatic quantum computation has been carried out in recent years [16][17][18]. However, these studies have been limited to the examination of the reduction of computational costs and have not reported improvements in accuracy.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Multiple Object Tracking Accuracy via Quantum Annealing

Ihara

2024

Preprint

View full text Add to dashboard Cite

Multiple object tracking (MOT), a key task in image recognition, presents a persistent challenge in balancing processing speed and tracking accuracy. This study introduces a novel approach that leverages quantum annealing (QA) to expedite computation speed, while enhancing tracking accuracy through the ensembling of object tracking processes. A method to improve the matching integration process is also proposed. By utilizing the sequential nature of MOT, this study further augments the tracking method via reverse annealing (RA). Experimental validation confirms the maintenance of high accuracy with an annealing time of a mere 3 µs per tracking process. The proposed method holds significant potential for real-time MOT applications, including traffic flow measurement for urban traffic light control, collision prediction for autonomous robots and vehicles, and management of products mass-produced in factories.

show abstract

Multiple Target Tracking and Filtering Using Bayesian Diabatic Quantum Annealing

Cited by 2 publications

References 15 publications

Students’ view of Quantum Information Technologies, part 2

Students’ view of Quantum Information Technologies, part 2

Enhancing Multiple Object Tracking Accuracy via Quantum Annealing

Contact Info

Product

Resources

About