Control Implemented on Quantum Computers: Effects of Noise, Nondeterminism, and Entanglement

Abstract

Quantum computing has advanced in recent years to the point that there are now some quantum computers and quantum simulators available to the public for use. In addition, quantum computing is beginning to receive attention within the process systems engineering community for directions such as machine learning and optimization. A logical next step for its evaluation within process systems engineering is for control, specifically for computing control actions to be applied to process systems. In this work, we provide some initial studies regarding the implementation of control on quantum computers, including the implementation of a single-input/single-output proportional control law on a quantum simulator with noise, evaluation of potential impacts of nondeterminism on theory for advanced control laws, and discussion of consequences of the way that entanglement works for next-generation manufacturing communication objectives.

Mimicking Photon Source Measurement with Quantum Digital Twin: A Framework for High-Quality Randomness

“…Emphasising the critical importance of randomness, the review underscores how quantum mechanics inherently introduces true randomness, forming the basis for secure communication and algorithmic optimisation [13], [14]. The literature also scrutinises the potential of digital twin models to simulate quantum randomness.…”