Microelectronics & Quantum Technology (MQT)

Microelectronics & Quantum Technology (MQT)

The Microelectronics & Quantum Technology (MQT) group conducts transformative research at the intersection of quantum physics and quantum information science to revolutionize chip technologies for ultra-secure communication, quantum computing, precision sensing, and advanced measurement systems.

Quantum Algorithm

This area focuses on designing sophisticated quantum software to solve complex problems in chemistry, computing, and graph theory. Key research areas include:

• Large-scale quantum chemistry simulations
• Fault-tolerant variational quantum eigensolver algorithms
• Quantum graph simulation models

Deliverables:

• Algorithms for molecular spectral simulation
• Structural graph-based quantum simulation tools
• Robust, fault-tolerant quantum eigensolvers

Quantum Computing

Centered on the architecture and integration of quantum chips, this research merges expertise in wafer fabrication, materials science, and quantum programming. Core goals include:

• Implementing Gottesman-Kitaev-Preskill (GKP) error-correction circuits
• Designing microprocessor chips based on nonlinear photonic processes
• Realizing prototypes for one-way, measurement-based quantum computing

Deliverables:

• Optimized GKP error-correction mechanisms
• Performance analysis of quantum microprocessor prototypes

Quantum Communication

This research advances secure communication technologies using quantum principles. Key efforts involve:

• Developing Quantum Key Distribution (QKD) chips
• Engineering QKD systems across free-space and fiber-optic platforms
• Exploring scalable quantum network protocols

Deliverables:

• Operational QKD chip demonstrations
• High-key-rate chip-based QKD system prototypes
• Quantum network chips for large-scale communication infrastructure

Quantum Machine Learning

This research explores the synergy between quantum systems and machine learning techniques to address high-dimensional challenges. Focus areas include:

• Building scalable quantum neural networks for financial modeling
• Enhancing machine learning performance using superposition and entanglement
• Solving problems in optimization, pattern recognition, and data analysis

Deliverables:

• Simulated quantum finance solutions
• Demonstrations of quantum-enhanced machine learning algorithms
• Quantum tools for pattern analysis and data interpretation

Quantum Metrology and Sensing

Dedicated to pushing the limits of measurement science, this area develops quantum sensors and novel techniques for ultra-precise data collection. Applications span physics, engineering, navigation, and biomedical imaging.

Deliverables:

• High-performance quantum sensor prototypes
• Quantum-enabled measurement methods
• Refined data acquisition and processing techniques