Applicability of Quantum Computing, to manufacturing

Quantum Computing:

Imagine searching for a lost white pearl in a rubble of small white marble stones. As per the normal procedure, you would remove stone by stone from rubble to search for the pearl, which is time consuming and laborious process. Imagine , you are  given a special power  to instantly identify the pearl in the rubble,   this brings out the usefulness of Quantum computing. Quantum computing  has multiple states at a given instant, There-by making the intensive computation capability a reality.

Quantum computing uses quantum mechanics, a branch of physics, to process information. Unlike classical computing, which uses bits to represent information as either a 0 or 1, quantum computing uses quantum bits, or qubits, which can represent both 0 and 1 at the same time. This allows quantum computers to perform certain calculations much faster than classical computers, making them particularly useful for solving complex problems.


How is Quantum computing applicable in manufacturing context? business benefits with examples:

Let us consider a development of a prototype of a machinery say fighter Jet. In conventional method we design it and  pass it through sequence of rigorous test to ensure the design is aerodynamic and has fuel efficiency and  it meets the purpose of applicability in warfare with ease . Now consider the same scenario with AI / ML and Quantum computing, with the guidance of AI/ML , the system can predict all possible real-life scenarios, including the ones unexplored (hazardous and risky ones in real time).These upon  execution  would take considerable time and effort to complete, in conventional computing system. Such scenarios when fed to quantum computing, would quickly process the same with higher accuracy  , thereby  enabling the designers to be  equipped with the prototype of fighter jet with advanced capabilities with shorter lead times.

Quantum computing can offer benefits to a car manufacturing company, such as precise insights into the performance of engines and suspension systems. This, in turn, can help detect and address any issues in the design of car components, thereby enhancing the overall quality and safety of the car. Additionally, it can significantly reduce the cost and time required for quality testing and enable manufacturers to respond quickly to market changes and develop new components and engines that are safe and efficient. Example : BMW’s partnership with the French company Pasqal to leverage quantum computing for crash testing ,  development of new parts and materials that are both stronger and lighter  for improved design quality.

A manufacturing company can optimize their production line using quantum computing considering factors such as machine performance, worker productivity, and material availability. The quantum computer analyzes the simulation and identifies areas for improvement, such as adjusting the speed of certain machines, rearranging the layout of the production line, and increasing worker training on certain tasks. By implementing these changes based on the recommendations from the quantum computing simulation, the manufacturer can improve the efficiency and quality of their production line, resulting in higher output and reduced waste.



The Quantum computing has limitless possibilities. It could  be the supporting backbone for the manufacturing sector to optimize its manufacturing and business process and evolve  into a better version of itself. the possibility is infinite. Definitely  it is  tool , for advanced purpose , to meet the desired beneficial business outcome in manufacturing sector.

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Author Details

Balasubramanian Chidambaram

Bala has 20 years of consulting experience. His expertise includes Oracle Cloud as well as applications for supply chain management . He has implementation experience with global clients in North America, Europe, and Asia.

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