Helmholtz Quantum Use Challenge

QT-Batt - Quantum Technologies for Batteries

The QT-Batt project explores how quantum technologies can help to create better and more sustainable batteries for the future.

Researchers in this project combine quantum computing and quantum sensing to better understand what happens inside batteries. Quantum computers can simulate the behavior of battery materials at multiple scale, helping scientists design improved components such as solid electrolytes and advanced electrodes.

At the same time, the project develops highly sensitive quantum sensors that can measure tiny changes in temperature and electromagnetic fields inside working batteries. These sensors provide valuable insights into how batteries operate, age, and sometimes fail.

By bringing together quantum science and energy research, QT-Batt aims to develop tools that help design longer-lasting, safer, and more efficient batteries. These advances will support the development of cleaner energy technologies and contribute to a more sustainable future. 

QuBiopsy - Quantum Biopsy for Cancer Visualization on Macro and Micro Scales

The QuBiopsy project explores how quantum imaging technologies can improve the detection of cancer cells that are very difficult to find with current medical methods.

In many cancers, tiny groups of tumor cells or micrometastases can spread through the body long before they are visible with standard imaging or biopsy techniques. QuBiopsy aims to detect these rare cells earlier and more reliably by combining several advanced quantum-based imaging approaches.

One approach uses diamond-based quantum sensors to detect extremely small magnetic signals with very high spatial resolution. Another uses highly sensitive magnetometers to measure weak magnetic signals across larger sample volumes. To make tumor cells easier to detect, the project also uses magnetic nanoparticles that specifically bind to cancer cells and enhance their magnetic signal.

In addition, QuBiopsy employs entangled photons to create high-contrast microscopic images of tumor tissue and micrometastases.

By combining these different technologies into a single diagnostic platform, QuBiopsy aims to go beyond the limits of current biopsy and imaging methods. The project ultimately seeks to support earlier cancer detection and more precise diagnostics, helping improve treatment decisions and patient outcomes. 

QuWIRK - Quantum Algorithms for Drug Discovery

The QuWIRK project explores how quantum computing can support the discovery of new medicines, especially treatments for infectious diseases.

Developing new drugs is a complex process that involves analyzing large biological datasets and understanding how molecules interact with proteins in the body. QuWIRK aims to create quantum algorithms that can help scientists handle these challenging tasks more efficiently.

In the early stages of drug discovery, the project focuses on analyzing biological data, such as comparing DNA sequences, identifying different cell types, and detecting important patterns in gene activity. These insights can help researchers better understand diseases and identify promising drug targets.

In the later stages, QuWIRK investigates how quantum computing can help identify and optimize potential drug molecules. This includes studying how molecules bind to proteins and improving candidate compounds for better effectiveness.

The project will develop prototype tools that can run on current quantum computers, while also exploring how future quantum machines could further accelerate drug discovery.

By connecting quantum technology with biomedical research, QuWIRK aims to open new pathways for faster and more efficient development of life-saving medicines.

qFLOW - Quantum-Enhanced Simulations of Complex Fluid Flows - from Droplets to Groundwater

The qFLOW project explores how quantum computing can help address major challenges related to climate resilience, clean energy, and water security.

Many important natural and technological processes involve the movement of fluids, such as groundwater flowing through soil or gas bubbles moving in liquids. These processes are described by complex mathematical models and are extremely difficult to simulate at relevant scales, even with today’s most powerful supercomputers.

qFLOW aims to develop quantum-enhanced simulation methods that can model these complex fluid flows more efficiently. The project focuses on two key areas: groundwater and reservoir systems, which are essential for water management, and multiphase fluid flows, which play an important role in many energy and industrial technologies.

To achieve this, experts in quantum technologies and fluid science work closely together to design new algorithms and tools that are both scientifically accurate and practically useful.

By combining quantum computing with environmental and energy research, qFLOW aims to open new possibilities for better predictions, improved resource management, and more sustainable technologies.