Implementing Automation Algorithms on Quantum Computers

The need for enhanced autonomy systems for manufacturing raises the question of whether quantum computers could play any role in a future generation of decision-making systems. At this time, it is not clear what quantum algorithms, if any, would be useful for autonomy; however, a key aspect of utility of algorithms for autonomy is that they be able to maintain safe operation. In this talk, we will describe our initial work that seeks to begin to understand the safety implications of implementing control laws using quantum computation [1,2]. This will include discussing our work on the implementation of a single-input/single-output control law with a quantum simulator, and also searching a lookup table of control actions with a quantum algorithm.

[1] Rangan, K. K., Oyama, H., Assoumani, I. A., Durand, H., & Simon Ng, K. Y. (2023). Cyberphysical Systems and Energy: A Discussion with Reference to an Enhanced Geothermal Process. Editor: Li, Mingheng. AIP Publishing.

[2] Nieman, K., Kasturi Rangan, K., & Durand, H. (2022). Control implemented on quantum computers: Effects of noise, nondeterminism, and entanglement. Industrial & Engineering Chemistry Research, 61(28), 10133-10155.