Deloitte's Quantum Climate Challenge

Quantum Climate Challenge 2024

Deloitte’s Quantum Climate Challenge 2024 aims to explore the potential of quantum computers in enhancing flood forecasting to improve climate resilience. Climate change has amplified the urgency of disaster prediction in recent years. Rising temperatures and shifting weather patterns have led to more intense floods, wildfires, and other extreme occurrences. As our climate becomes increasingly volatile, accurate forecasting of extreme weather events can be the difference between life and death.

To advance disaster prediction methods, the challenge seeks to explore the application of Quantum Machine Learning (QML) to predict floods along the Wupper River in Germany. The challenge aims to develop a new approach in forecasting river floods by leveraging nascent quantum computing technologies. In doing so, it endeavors to assess the prerequisites for quantum hardware to significantly improve disaster prediction on a larger scale, and to gauge the potential timeframe for its implementation.  

Due to the limitations of currently accessible quantum hardware, the goal of the challenge is two-fold:

1. Develop and train quantum models for next-day flood predictions: The primary focus lies on developing and improving a model that uses quantum computers. Due to the limitations of current quantum hardware, we do not expect models to outperform classical models at this stage.

2. Devise a path for handling more complex problems: Here, the focus lies on developing a concept for quantum or hybrid methods that may assist the improvement of flood prediction models on more advanced quantum computers. The central objective is to extend lead times for advanced warnings and to enhance the efficacy of disaster preparedness measures.

The key ingredients of our Quantum Climate Challenges are:

• Realistic, interesting and relevant problems that challenge participants more than a finger exercise. 
• Collaboration with the major hardware providers in the field (e.g. NVIDIA, AWS, IBM and D-Wave), which will include introductory sessions as well as hardware access beyond typical public access.
• A jury that is comprised of experts in the field of quantum computing and the problem domain, whom participants will need to convince why their solution is relevant.
• A challenge description that gets you started, but still allows you to explore creative ways to solve it.
• An attractive prize pool : 5000€ for the winning team, 4000€ for the runner up and 3000€ for the third place.

Join our LinkedIn Live to learn more about Quantum computing and for the official launch of the Quantum Climate Challenge. 

Quantum Climate Challenge 2023

In 2023 participants tackled a topic in the field of physical
simulation. Namely, the optimization of metal organic frameworks for carbon
capture. Capturing carbon dioxide directly from the air is a challenge that has
to be solved in order to reach the 2°C goal. Since direct air capture of carbon
dioxide is very energy intensive, more efficient filter materials are highly
sought after. Quantum computing may help improve those materials.

You can find a more detailed challenge description here.

Jurors included experts from AWS, IBM, Intel, Boehring Ingelheim,
Evonik, BASF Chemovator, Verband der Chemischen Industrie and Quantagonia.

The Top 3 teams were:

1. EcoQult (Dr. Tamara Sarac, Kourosh Sayar and Delphine deSmedt)
2. JetiX (Gopal Ramesh Dahale)
3. 3.QuantuX (Phung Cheng Fei, Tuomas Sorakivi, Jesmer Wong, Karim Elgammal)

Quantum Climate Challenge 2022

Deloitte's Quantum Climate Challenge 2022 explored how the contribution of air travel to climate change can be reduced by optimizing flight trajectories using quantum computing. The challenge scenario included a traffic sample of multiple flights with various paths and schedules. The flight trajectories were optimized such that the overall warming climate effect considering all flights is minimal while being compliant with flight safety regulations. Different climate effects depending on the fuel burn, the geographical location, altitude, weather conditions and timings were also consid-ered.

You can find a more detailed challenge description here.  

Jurors included experts from AWS, IBM, RWTH, Lufthansa, DLR, MTU
and Deutsche Flugsicherung.

The Top 3 teams were:

1. Quantimize (Catharina Broocks, Franziska Wilfinger, Jakob Pforr, Jezer Jojo, Kevin Shen)
2. Felix Frohnert
3.  Lufthansa Quantumverse by Lufthansa Industry Solutions (Georg Reuber, Joseph Doetsch, Mylene Haslehner, Robert Glöckner, Yannick Wenger)