Title: Quantum Machine Learning (QML) for autonomous deep-space navigation, mission optimisation, and high-noise data processing
Objective:
S: My approach is to divide the research into 4 sub-areas namely Autonomous deep-space navigation, Interplanetary mission & swarm optimisation, Processing deep-space data and imagery, Quantum-resilient space communication
M: Addressing major bottlenecks and delivering commercially viable product(s) for each of the 4 sub-areas
A: Research each of the 4 sub-areas in 182.5 days each and use the 3rd year to commercialise the findings into ideally 4 separate products, 1 for each sub-area, with working prototype and go-to market strategy or minimum 1 product
R: Assists the long-term goal of positioning Australia as a major player at the cusp of Artificial Intelligence, Quantum Computing and Space Technologies
T: 3 years FT (given the rate of change in technological advances 36 months also seems too long)
Areas of Knowledge: Artificial Intelligence, Quantum Computing, Space Technology, Innovation and Entrepreneurism
Abstract: This research proposal suggests an exploratory approach to AI-driven quantum algorithms to process complex, unpredictable terrain data on board, allowing probes to make split-second trajectory or landing adjustments with the intend of commercialising the findings into a market viable product. Specifically, enhancing quantum AI for space missions by developing quantum machine learning for complex space data, improving autonomous space systems with quantum-accelerated AI for navigation, optimisation and decision-making, and creating quantum-resilient space communication for space exploration to overcome latency and related challenges.
Assumptions:
Self-driven and results-orientedness
Prior deep knowledge in Artificial Intelligence, Innovation and Entrepreneurism
Access to The University of Melbourne’s relevant labs, and resources including:
Melbourne Space Program (MSP) and it’s experts
Artificial Intelligence School of Computing and Information Systems
IBM Quantum Hub at the University of Melbourne
Melbourne Initiative for Quantum Technology (MIQT)
Quantum Science and Technology Group
Course work (this will ensure end deliverables are in line with The University of Melbourne’s expected quality):
