Quantum Computing Meets High Performance Computing

Quantum Computing in the Division »High Performance Computing«

In addition to the hardware implementation of quantum computers, the development of suitable software is a key challenge for the future use of this promising technology. In the division »Analytics and Computing«, we develop new quantum algorithms and software solutions, optimize them for specific problems, and test them in practical applications. In interdisciplinary teams from mathematics, computer science, and physics, we work on current issues in our business areas and, in particular, investigate the interaction between classical high-performance computers and quantum computers.

One focus is on benchmarking, software integration, and hybrid applications that combine classical and quantum-based computing methods. Hybrid algorithms, in which classical and quantum components work closely together, play an important role, especially in the NISQ era and the early FTQC era. Particular attention is paid to applications from quantum chemistry, which are considered early candidates for quantum advantage and combine classical expertise with quantum extensions.

In addition, we are developing central components of the software stack for operating quantum computers, in particular quantum compilers that efficiently map abstract quantum programs to real hardware. The goal is to minimize compilation overhead and achieve technological advantages for our algorithms. Through partnerships with quantum hardware providers, we have access to various hardware architectures in Europe and around the world, particularly to a quantum computer located in Germany that is operated by IBM in compliance with German data protection laws.

 

Advisory and Testing Center »INQUBATOR«

Introduction to the Future Technology of Quantum Computing

We help companies get started with quantum computing.

 

Project »EnerQuant«

Quantum Computing for the Power Industry

Algorithms for quantum computers to solve a stochastic energy economics model.

 

Project »AnQuC-3«

Application-Oriented Quantum Computing

The team focuses on the areas of quantum Fourier transformation, quantum machine learning, and algorithms.

 

Project »QuSAA«

Quantum Algorithms for Strategic Asset Allocation

New Approaches to Asset Allocation Using Quantum Computing.

 

Project »UpQuantVal«

Quantum Valley Oberrhein

Establishment of a strong European center for quantum sciences.

 

BMBF Project »QCStack«

Software Stack for the Future Technology Quantum Computing

Technology- and vendor-neutral software stacks for quantum computers.

 

Project »Quantum Technology Professional«

Training Courses and Workshops Quantum Computing

A modular and continuously expandable continuing education program.

 

BMFTR Project »Rymax One«

Quantum Computer to Solve Optimization Problems

A quantum computer based on Rydberg atoms.

 

Project »EniQmA«

Hybrid Quantum Computing Meets Use Cases

Hybrid approaches are being systematically organized.

 

Project »QUANT²AI«

Benchmarking for Quantum AI

This project is developing a standardized benchmarking framework for comparing complete applications.

 

»Quantum Architecture Search«

Discovering and Optimizing Quantum Architectures

Learning objective functions as parameterized quantum circuits.

 

Project »QUIP«

Quantum-Initiative Rheinland-Pfalz

Together with our project partners, we support young researchers working on quantum computing and quantum technologies.