Enhancing AI with Quantum Computing for Aerospace Data Analysis
Akshat Tandon AI Researcher, Airbus AI Research (XRD),
Expert lecture
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About Akshat Tandon
Akshat Tandon is an AI researcher and leads the activities related Quantum Machine Learning (QML) at Airbus Central Research & Technology. He leads research projects related to quantum machine learning and applies it to solve the company's challenges. His contributions span various areas including Computer Vision, Graph Neural Networks, Multi-agent Reinforcement Learning, and Swarm Robotics. Akshat completed his master's degree in Intelligent Systems with a focus on AI and Robotics at Cluster of Excellence in Cognitive Interactive Technology, Bielefeld University in 2017, providing a strong academic foundation for his work
Organisation
Artificial intelligence (AI) is much more than a research field: it is a ubiquitous future technology with the potential to redefine all areas of our society. At Airbus, we believe AI is a key competitive advantage that enables us to capitalise on the value of our data, to bring the best to our customers. However, with great power comes great responsibility. Ethical and legal considerations surrounding AI have never been more critical. We strive to implement both at the core of our AI activities.
Frequently Asked Questions
- Who is Akshat Tandon?
- Akshat Tandon is an AI researcher and leads the activities related Quantum Machine Learning (QML) at Airbus Central Research & Technology. He leads research projects related to quantum machine learning and applies it to solve the company's challenges. His contributions span various areas.
- What is the lecture "Enhancing AI with Quantum Computing for Aerospace Data Analysis"?
- This presentation by Akshat Tandon at the Quantum Security Defence World Symposium covers key concepts, challenges, and developments in quantum machine learning, quantum computing.
- What is quantum machine learning?
- Quantum machine learning explores how quantum computing can accelerate machine learning algorithms. Most practical applications remain in the near-term hybrid quantum-classical category.
- What is quantum computing?
- Quantum computing uses superposition and entanglement to perform certain computations substantially faster than classical computers. Key applications include optimisation, simulation, and cryptanalysis.
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