QuaSa

Quantum System Functionality in Application Scenarios (QuaSA) – Sub-project: Quantum Benchmark Implementation

Photo: Meltem Fischer, DFKI GmbH
Optimization of fault tolerant quantum computation through correlated surfaces and their corresponding fault tolerant quantum circuits.
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Quantum computers are still in the experimental phase and are severely hampered by computational errors, which limit their reliability and scalability. The project investigates the origin and propagation of such errors in order to improve the performance of quantum systems. The aim is to employ error detection, analysis and mitigation techniques, in particular through advanced error-correcting codes. The analysis is carried out in two stages: first in isolated storage systems, and then in real quantum algorithms. The results are expected to enable more efficient error diagnosis and help pave the way for stable, scalable quantum computers.

Duration: 01.09.2025 till 31.08.2028
Sponsor: Federal Ministry of Research, Technology and Space (BMFTR)
Grant number: 13N17300
Partner:

Universität Bremen

Application Field: Quantum Computing

Project details

Motivation

Quantum computers are currently still in the experimental development phase. In particular, managing errors in computations presents significant challenges. Errors limit the reliability and scalability of quantum hardware and thus restrict its practical applicability. Detailed performance diagnostics and error analyses are essential to ensure that quantum computers can be utilised to their full potential. This project is dedicated to investigating the origin and propagation of errors in quantum systems, with a view to paving the way for reliable quantum computers.

Objectives and Approach

The overarching objective of the project is to evaluate and improve the performance of quantum systems through the use of error detection, analysis and mitigation techniques. This involves the use of advanced error-correcting codes to understand how errors propagate during the execution of quantum algorithms. The collection and analysis of error data will be carried out in two phases within the project: first, errors in isolated quantum memory configurations will be investigated; subsequently, the findings will be extended to practically relevant quantum algorithms. The results are intended to contribute to the development of better error detection techniques and more efficient error decoders.

Innovation and Prospects

The project offers significant benefits by addressing key technical challenges in quantum computing and establishing hardware-independent methods for evaluating the performance of quantum computers. Ultimately, the results will help bridge the gap between current experimental systems and fully error-corrected quantum computers.

Publications

2026

Tensor network lattice Boltzmann method for data-compressed fluid simulations
Lukas Groß, Elie Mounzer, David M. Wawrzyniak, Josef M. Winter, Nikolaus A. Adams
In Computer Methods in Applied Mechanics and Engineering, Elsevier, volume 460, pages 1-42, Aug/2026.

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last updated 07.07.2026