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              <text>Quantum approaches to sustainable resource management in supply chains</text>
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              <text>Quantum computing leverages the principles of quantum mechanics to process information in ways that classical computers cannot. This capability is particularly advantageous for solving complex optimization problems that are common in supply chain management. Quantum algorithms, such as the quantum approximate optimization algorithm (QAOA) and quantum annealing, have shown promise in efficiently solving these problems by exploring numerous potential solutions simultaneously and identifying optimal strategies. The purpose of this chapter is to investigate the rapidly developing topic of quantum computing and its potential applications in managing sustainable resources within supply chains. Traditional resource allocation methods often struggle to maximize efficiency while minimizing environmental impact. However, new developments in quantum computing have opened up potentially fruitful pathways for addressing these issues. This study aims to explore how quantum computing can revolutionize through an examination of quantum algorithms, optimization approaches, and case studies.  2024 by IGI Global. All rights reserved.</text>
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              <text>Thiyagarajan S.; Solomon Thangadurai J.; Mohana Priya T.; Rajendran R.K.</text>
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              <text>Quantum Computing and Supply Chain Management: A New Era of Optimization, pp. 187-195.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3693-4107-0.ch013" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-4107-0.ch013&lt;/a&gt;
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              <text>ISBN: 979-836934108-7; 979-836934107-0</text>
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              <text>Thiyagarajan S., Faculty of Science and Humanities, SRM Institute of Science and Technology, India; Solomon Thangadurai J., SRM Institute of Science and Technology, India; Mohana Priya T., Christ University, India; Rajendran R.K., Christ University, India</text>
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