Quantum Algorithms for Information Processing and Sensor Management

Research theme

Novel Computing and Beyond-CMOS hardware 

Sensor Signal Processing 

Aim

Validate quantum computation paradigm for information processing and sensor management

Objectives

1. Quantum optimisation for sparse antenna-array design
2. Joint quantum sensing and detection for RF sensing with applications in Rydberg atoms RF sensor arrays.  
3. Real-time Detection in electronic support measure

Description

Quantum computing is a promising new computational paradigm that researchers hope can provide meaningful computational advantage for many different problems of interest. Despite the growing interest in both these fields, a relatively unexplored area of research is how these two quantum technologies, i.e. sensing and computation, can interface to bring meaningful advantage to real world problems, more specifically can quantum computing be leveraged to improve classical and quantum sensing protocols. The aim of this project is to exploit Quantum Information Processing (QIP) and Quantum Optimisation (QO), for classical sensor management and quantum sensor information processing. The scope will be on the near- and long- term quantum computers, such as quantum annealers and quantum gate arrays, for complex optimisation problems and real-time detections, which are problems in the distributed and centralised radio frequency sensing. 

This project is fully funded.