Quantum Computing Logistics

Pushan Kumar Dutta, Pronaya Bhattacharya, Jai Prakash V Verma +3 more

Manisha Singh, Purvee Bhardwaj, Ramakant Bhardwaj +1 more

This study explores the profound impact of integrated quantum computing on the landscape of logistics operations. Investigating the core principles of quantum computing, we unveil its potential applications in addressing intricate challenges such as route optimization, supply chain efficiency, and demand forecasting. The research critically examines existing constraints and ethical considerations associated with quantum computing implementation in logistics. Envisioning future advancements, this study foresees a scenario where quantum technologies act as catalysts for unprecedented efficiency, improved decision-making processes, and a redefined approach to predictive analytics within the logistics industry. The collaborative journey toward quantum integration involves strategic steps, including the development of quantum awareness, the establishment of infrastructure, and the fostering of partnerships between logistics entities and quantum computing providers. This chapter offers a comprehensive overview, guiding logistics professionals toward a quantum future where innovation and ethical standards converge for a transformative leap in operations.

Ritu Aggarwal, Eshaan Aggarwal

The intersection of quantum computing with machine learning transforms the various effective technologies. It works with the integration of quantum computing into logistics through supply chain management to solve and use optimization problems. These technologies have the capability of data pre-processing and analysing logistics through various machine learning models. This chapter explores the various quantum computing principles that are used to solve complex problems. This chapter discussed quantum annealing, quantum applications, and quantum optimisation algorithms by key factor algorithms based on the different ML approaches used. It is based on fleet maintenance, loading cargo, and prediction with scheduling algorithms. Quantum computing, when hybridized with ML and logistic optimisation, could solve the problems related to classical computing problems in this chapter. In this proposed work, the hybrid approach with ML and quantum computing with enhanced industry-specific solutions in different aspects of quantum computing in sectors such as cybersecurity. In logistics, the optimization concepts help to define the problems through a hybridization method with their applications.

Vladimir I. Hahanov, Svetlana V. Chumachenko, Ivan Hahanov +3 more

Amiratabak Bahengam, Mohammad‐Ali Miri, R. Joseph Rupert +2 more

Quantum computing provides a novel approach to addressing conventionally intractable issues in large-scale optimization. Space logistics missions require the efficient routing of payloads, spacecraft, and resources across complex networks, often resulting in an exponential growth of the solution space that classical methods cannot efficiently solve. This paper leverages quantum computing to model and solve the space logistics problem as a time-dependent multicommodity network flow, enabling the exploration of large solution spaces. The findings highlight quantum computing's potential to address complex aerospace logistics, demonstrating its suitability for complex interplanetary mission planning.