P13: Construction of Advanced Dynamic Quantum Circuits: Towards Resource Optimization and Fidelity Improvement (ConAD-QC)

Members: Dr. Abhoy Kole (DFKI), Prof. Dr. Rolf Drechsler (DFKI, University of Bremen)

Recent progress in quantum hardware has led to powerful processors with thousands of qubits, yet the software stack still struggles with issues such as noise, resource overhead, and hardware constraints. Current compilation approaches are not sufficient for fully exploiting today's noisy devices or future fault-tolerant platforms, especially in distributed environments.

This project addresses these challenges by exploring dynamic quantum computing, where circuits adapt during execution, and by investigating how such designs can be systematically optimized and mapped to realistic hardware. Our focus will be on developing methodologies that reduce resource overhead, while preserving operational fidelity across monolithic and distributed platforms. To achieve this, we combine design automation, noise-aware hardware mapping, and machine learning-assisted synthesis to enable scalable and reliable compilation of dynamic quantum circuits.

Ultimately, this work will advance model-based development methods to create a unified design flow for dynamic quantum computing, bridging the gap between high-level abstractions and hardware realities. This will pave the way for more practical, efficient, and trustworthy quantum software development.