Quantum-Powered Space: Revolutionizing Earth Observation and Satellite Mission Optimization — Day 23
Day23 of #Quantum30 Challenge
Welcome readers to my learning log of Day 23 of #Quantum30 Challenge. Another day, another interesting application! Today I watched a webinar “Quantum in Action: Efficient Earth Observation Satellites Mission Planning” by Artificial Brain on the YouTube channel of D-Wave. Artificial Brain is a winner of the Prototype Track in the Deep Tech Category of the highly regarded myEUspace competition, organized by the European Union Agency for the Space Programme (EUSPA).
The video introduces two speakers, Dana Lynette and Jitesh Lawani, from a company called Artificial Brain. Dana is a senior executive at Quantum Market Engagement, while Jitesh is the technical founder and CEO. Dana has a background in defense, aerospace, and emerging technologies, having served in various advisory roles. Jitesh has extensive experience in software development, team management, AI, machine learning, and quantum computing.
The speakers discuss the applications of quantum computing in the space sector, specifically focusing on Earth observation satellite mission optimization. They introduce Artificial Brain as a Quantum Computing software company specializing in the space, energy, and aviation domains.
They present their core team, including the founder and CEO, advisors, and engineers who contribute to their projects. They also highlight their collaboration with EU space agencies and their participation in quantum missions.
Dana introduces Jitesh to discuss why quantum computing is relevant for space applications. Jitesh explains that quantum communications are being explored for satellite-to-satellite and satellite-to-ground communications. He emphasizes the complexity of space activities due to dynamic decisions, limited time windows, and various constraints.
The speakers dive into Earth observation satellites and their applications, including fire monitoring, water pollution monitoring, and crop monitoring. They explain their Quantum Computing algorithm for optimizing Earth observation satellite scheduling. This algorithm aims to select observation targets that maximize both business value and constraint satisfaction. They discuss the mathematical formulation involving priority values, business values, and various constraints like storage, energy, and communication windows.
A live demonstration of their Quantum Computing algorithm is presented using a Jupiter notebook and D-Wave’s quantum computer. The algorithm swiftly provides optimal solutions for capturing observation areas while satisfying all constraints.
Benchmarking results are presented, comparing their Quantum Computing algorithm with simulated annealing and the Gurobi optimizer. The Quantum algorithm outperforms in terms of business value generation and execution speed, while also satisfying all constraints. They stress that quantum computing’s capabilities exceed classical computing for complex problems.
The speakers emphasize the relevance of their work in the growing commercial space and Earth observation markets, highlighting the potential for maximizing ROI, reducing costs, and creating resource efficiencies. They encourage the integration of Quantum with AI to enhance results.
The video concludes with a call to seize the opportunity presented by Quantum technology in the current space industry landscape. They emphasize that the time for leveraging Quantum capabilities is now, and waiting might result in missing out on significant benefits.
Thank you, readers! QuantumComputingIndia #Quantum30
