Quantum computing has the potential to revolutionize industries with its ability to solve problems traditional computers struggle to handle. For instance, a chemical plant aiming to cut energy consumption without sacrificing production or a pharmaceutical company seeking to fine-tune molecular designs for a breakthrough drug, could address these challenges faster and more efficiently through quantum computing. The chemical industry is poised to benefit significantly from this transformative technology, and Purdue University is at the forefront of this movement. Ranked among the top 100 universities globally (QS World University Rankings 2024), Purdue is leading advancements in sustainable and optimized processes through cutting-edge research.
Central to this effort is the Davidson School of Chemical Engineering and its Center for Operations and Optimization in Process Systems (COOPS). COOPS is dedicated to improving energy efficiency and reducing carbon emissions in chemical processes. A key component of this innovation is the Systems Engineering via Classical and Quantum Optimization for Industrial Applications (SECQUOIA) research group, led by Professor David Bernal Neira. This team harnesses quantum algorithms to address complex challenges in optimization, chemical simulation, and machine learning. For example, SECQUOIA develops quantum optimization algorithms to solve demanding issues in process design and supply chain management. These algorithms leverage principles of quantum mechanics, such as superposition, to explore solutions more efficiently than traditional methods. This technology is particularly useful for discrete optimization problems required in decision-making.
COOPS’ use of quantum computing strengthens Purdue University’s leadership in chemical engineering innovation. Source: Purdue University
Advancing chemical engineering with quantum computing
COOPS’ work with quantum computing solidifies Purdue as a leader in chemical engineering advancements. Through its groundbreaking initiatives, COOPS is redefining possibilities in chemical engineering by creating scalable solutions that meet modern industry demands while advancing sustainability.
One notable example is COOPS’ development of quantum algorithms for optimization in process design and operations. Led by Professor David Esteban Bernal Neira and the SECQUOIA research group, the project applies quantum-inspired and hybrid quantum-classical algorithms to address complex combinatorial optimization problems. These include process synthesis, scheduling, and resource allocation, which often exceed the capabilities of traditional methods.
A significant application of this research involves optimizing liquefied natural gas (LNG) maritime shipping routes. By using the Quantum Approximate Optimization Algorithm (QAOA) and quantum annealing techniques, this project highlights how quantum computing can handle applications relying on optimization. This approach identifies shipping routes that minimize fuel consumption and costs while adhering to strict delivery schedules, showcasing the environmental and operational benefits of quantum computing.

COOPS prepares a quantum-ready workforce by equipping students and researchers with the skills to harness quantum technologies, ensuring a sustainable talent pipeline for the quantum computing era. Source: Purdue University
Bridging quantum research and industry applications
COOPS is leading the way in quantum advancements for process systems engineering. The center focuses on practical, industry-relevant applications and groundbreaking contributions, making Purdue a frontrunner in this field. Projects such as Quantum Federated Learning for decentralized data analysis and optimization algorithms for process operations, COOPS bridges the gap between quantum research and real-world challenges in the chemical industry.
What sets Purdue apart is COOPS’ emphasis on interdisciplinary collaboration. The center partners with quantum hardware developers, industry leaders, and researchers from various fields to drive progress in quantum computing for chemical engineering. Collaborations with companies like IBM, Rigetti, and D-Wave provide access to advanced quantum processors, allowing the testing of quantum algorithms in real-world settings. Additionally, Professor Bernal Neira is affiliated with the Purdue Quantum Science and Engineering Institute and the Chicago Quantum Exchange, a hub for quantum research involving academic, industrial, and governmental organizations. These partnerships enhance COOPS’ ability to translate quantum innovations into impactful chemical engineering solutions.
Hands-on quantum projects at COOPS
Through COOPS, students and faculty engage in interdisciplinary research and hands-on quantum computing projects. Faculty lead groundbreaking studies in optimization, computational chemistry, and machine learning, guiding students as they contribute to real-world quantum projects. PhD candidates play key roles in developing algorithms, running simulations, and applying quantum techniques to chemical engineering problems such as process optimization and data analysis.
Undergraduate and master’s students participate through specialized coursework and collaborative research. COOPS offers access to cutting-edge quantum tools from industry leaders like IBM and D-Wave, allowing students to test their algorithms on quantum hardware. This hands-on experience equips students with practical skills in quantum programming, algorithm design, and engineering problem-solving.
Additionally, COOPS connects Purdue’s academic community with a broader network of quantum researchers, including the Purdue Quantum Science and Engineering Institute and the Chicago Quantum Exchange. These partnerships open up opportunities, enabling students and faculty to participate in workshops, conferences, and joint research projects, creating a vibrant environment for quantum discovery.
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