Simulation of quantum annealing on a semiconducting cQED device for Multiple Hypothesis Tracking (MHT) benchmark

TL;DR

This paper evaluates the potential of a semiconducting spin cQED quantum processor for real-time Multiple Hypothesis Tracking, using quantum annealing simulations that incorporate realistic error models.

Contribution

It assesses the performance and feasibility of cQED-spin quantum processors for MHT tasks through detailed benchmarking and error analysis.

Findings

Estimated total run time of around 50 ms for the processor.

cQED-spin processors show promise for real-time radar tracking applications.

Simulations include both coherent and incoherent error effects.

Abstract

We explore the expected performance of a semiconducting spin cQED quantum processor for Multiple Hypothesis Tracking (MHT) algorithm via a quantum annealing procedure. From two different benchmarking scenarios we evaluate this type of quantum annealer on a quantum emulator in which we incorporated both dynamical coherent errors and incoherent errors. From estimate of the reset, measurement and annealing time of the processor, we find that cQED-spin processors could reach a total run time of around 50 ms. This makes this technology promising for potential real time application such as radar tracking.