Annealing Archives - IEEE Transactions on Quantum Engineering

Advanced Quantum Annealing for the Bi-Objective Traveling Thief Problem: An ε-Constraint-Based Approach

March 16, 2026Nguyen Hoang Viet, Nguyen Xuan Tung, Trinh Van Chien, Won-Joo HwangOpen AccessAnnealing, Hardware, Interference, Linear programming, Optimization, Quantum annealing, Scalability, Transforms, Traveling salesman problems, Urban areas

Abstract: This paper addresses the Bi-Objective Traveling Thief Problem (BI-TTP), a challenging multi-objective optimization problem that requires the simultaneous optimization of travel cost and item profit. Conventional methods for the BI-TTP often face severe scalability issues due to the complex interdependence between routing and packing decisions, as well as the inherent complexity and large problem […]

Black-Box Optimization of the Storage Location Assignment Problem in Logistics Centers Using an Annealing Algorithm

December 19, 2025Hiromitsu Kigure Takeshi Baba Makoto Taniguchi Hirotaka KajiQuantum ComputingAnnealing, Closed box, Genetic algorithms, Hardware, Legged locomotion, Linear programming, Logistics, Mathematical models, Optimization, Quantum annealing

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial optimization problem focused on improving the efficiency of picking operations in logistics centers. We explore quantum annealing (QA) as a potential solution to combinatorial optimization problems and investigate its […]

Utilizing Quantum Annealing in Computed Tomography Image Reconstruction

March 11, 2025Kilian Dremel, Dimitri Prjamkov, Markus Firsching, Mareike Weule, Thomas Lang, Anastasia Papadaki, Stefan Kasperl, Martin Blaimer, Theobald O. J. FuchsQuantum ComputingAnnealing, Computed tomography, Geometry, Image reconstruction, Optimization, Quantum annealing, Quantum computing, Reconstruction algorithms, Three-dimensional displays, X-ray imaging

Abstract: One of the primary difficulties in computed tomography (CT) is reconstructing cross-sectional images from measured projections of a physical object. There exist several classical methods for this task of generating a digital representation of the object, including filtered backprojection or simultaneous algebraic reconstruction technique. Our research aims to explore the potential of quantum computing […]

Multidisk Clutch Optimization Using Quantum Annealing

August 9, 2024John D. Malcolm, Alexander Roth, Mladjan Radic, Pablo Martín-Ramiro, Jon Oillarburu, Borja Aizpurua, Román Orús, Samuel MugelQuantum SoftwareAnnealing, Friction, Manufacturing, Optimization, Quantum annealing, Standards, Vectors

In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quantum annealer provided by D-Wave Systems, we analyze the performance of the quantum […]

Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization

May 30, 2024David Bucher, Jonas Nüßlein, Corey O'Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-PopienQuantum ComputingAnnealing, Elasticity, Electricity, Optimization, Quantum annealing, Quantum computing, Renewable energy sources

Demand-side response (DSR) is a strategy that enables consumers to actively participate in managing electricity demand. It aims to alleviate strain on the grid during high demand and promote a more balanced and efficient use of (renewable) electricity resources. We implement DSR through discount scheduling, which involves offering discrete price incentives to consumers to adjust […]

Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems

March 13, 2024Tatsuhiko Shirai, Nozomu TogawaQuantum ComputingAnnealing, Computational modeling, Logic gates, Quantum algorithm, Quantum annealing, Quantum computing, Schedules

In this article, we propose a postprocessing variationally scheduled quantum algorithm (pVSQA) for solving constrained combinatorial optimization problems (COPs). COPs are typically transformed into ground-state search problems of the Ising model on a quantum annealer or gate-based quantum device. Variational methods are used to find an optimal schedule function that leads to high-quality solutions in […]

A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks

October 23, 2023Srikar KasiQuantum ComputingAnnealing, Base stations, Costs, Power demand, Quantum annealing, Qubit, Spectral efficiency

In order to meet mobile cellular users’ ever-increasing data demands, today’s 4G and 5G wireless networks are designed mainly with the goal of maximizing spectral efficiency. While they have made progress in this regard, controlling the carbon footprint and operational costs of such networks remains a long-standing problem among network designers. This article takes a […]

Improving Urban Traffic Mobility via a Versatile Quantum Annealing Model

September 5, 2023Andrea MarchesinQuantum EngineeringAnnealing, Computational modeling, Mathematical models, Optimization, Quantum annealing, Quantum mechanics, Roads

The growth of cities and the resulting increase in vehicular traffic pose significant challenges to the environment and citizens’ quality of life. To address these challenges, a new algorithm has been proposed that leverages the quantum annealing paradigm and D-wave’s machines to optimize the control of traffic lights in cities. The algorithm considers traffic information […]

Quantum Topology Optimization via Quantum Annealing

June 14, 2023Zisheng YeQuantum ComputingAnnealing, Computational efficiency, Layout, Linear programming, Logic gates, Optimization, Quantum annealing

We present a quantum annealing-based solution method for topology optimization (TO). In particular, we consider TO in a more general setting, i.e., applied to structures of continuum domains where designs are represented as distributed functions, referred to as continuum TO problems. According to the problem’s properties and structure, we formulate appropriate subproblems that can be […]

Quantum Annealing Methods and Experimental Evaluation to the Phase-Unwrapping Problem in Synthetic Aperture Radar Imaging

November 2, 2022Khaled A. Helal KelanyOpen Access, Quantum ComputingAnnealing, Cost function, Licenses, Phased arrays, Quantum annealing, Qubit, Synthetic aperture radar

The focus of this work is to explore the use of quantum annealing solvers for the problem of phase unwrapping of synthetic aperture radar (SAR) images. Although solutions to this problem exist based on network programming, these techniques do not scale well to larger sized images. Our approach involves formulating the problem as a quadratic […]