There is currently an explosive advancement in quantum information processing technology underway that has the potential to revolutionize society through the use of quantum computers, quantum communication systems, and quantum sensors that can outperform the best classical technologies. Antenna and propagation technologies are no exception, with many longstanding challenges potentially becoming addressable using these new quantum technologies. Further, because these emerging devices significantly involve electromagnetic effects there is an important role that classically-trained electromagnetic engineers can play in making these quantum technologies a reality. This course looks at both sides of this emerging technology space with the assumption that the students have no prior background in quantum physics. Specifically, the course introduces different paradigms of quantum computation and discusses how each approach can be used to solve electromagnetic analysis and optimization problems. Sample applications include the analysis and design of antenna arrays and the beamforming optimization of large reconfigurable intelligent surfaces. A hands-on training is also included to begin learning how to use quantum computers for these applications. We also discuss the fundamentals of quantum theory, with application toward building a description of the quantization of electromagnetic fields. These fundamentals are then extended to look at numerical algorithms for modeling various quantum electromagnetic effects in dispersive inhomogeneous media with applications for quantum communications and quantum sensors. The interactions of electromagnetic fields with superconducting circuit qubits are also covered to provide an understanding of the underlying operations occurring at the hardware level in one of the leading quantum computing architectures.
Speakers
Weng C. Chew, Purdue University
Thomas E. Roth, Purdue University
Zhen Peng, University of Illinois at Urbana-Champaign
Dong-Yeop Na, Pohang University of Science and Technology
Gabriele Gradoni, University of Surrey
Paolo Rocca, University of Trento
Luca Tosi, University of Trento
When: 2024-07-14 08:40 – 17:20