ALQU – Algorithms for quantum computer development in hardware-software codesign
Project duration: 01.10.2022 – 30.09.2026
Customised compilation strategies for DLR QCI quantum computers and quantum algorithms for hard, industry-relevant problems
We develop customised compilation strategies for the quantum computers of the DLR Quantum Computing Initiative and customised quantum algorithms for difficult, industry-relevant computing problems.
Through our research and development work, we support the quantum computing ecosystem in the development of innovative products and applications. We focus on two particularly important problems in the development of quantum software: the efficient compilation of circuits on quantum computing hardware and the development of customised quantum algorithms for industrial use. We implement and evaluate our solutions for DLR QCI quantum computers in order to take a step towards quantum advantage. We work closely with quantum hardware manufacturers and industrial end users.
Motivation
For current quantum computers of the NISQ era, no algorithms are yet known that have a guaranteed runtime improvement over classical computers. Although many of these algorithms can manage without quantum error correction, precise knowledge of the errors is essential for achieving the quantum advantage. In order to realise a useful application on a quantum computer faster than on a classical computer, close cooperation in hardware and software development is therefore required. Only in this way can the key figures and error models of real machines be incorporated into algorithm development and, on the other hand, hardware development can realise precisely those goals that are most promising in terms of algorithms and possible applications. This approach is known as hardware-software codesign. Furthermore, a perspective orientation towards the potential end users is essential in order to achieve the common goal: to solve a useful application on a quantum computer faster than on a classical computer. This is why we are building a bridge between basic research and potential end users with our project.
The challenge
It is not at all easy to find algorithms for error-prone quantum computers that promise a quantum advantage despite their susceptibility to errors. This is currently a key challenge! In particular, the identification of practically relevant tasks that are possible with current quantum-accelerated methods and their translation into a problem that can be solved by the quantum computer requires some knowledge and experience. Due to the volatile development in the hardware sector, a high degree of adaptability is also always required. We must therefore thoroughly analyse the applications and algorithms for possible uses. At the same time, we must not lose sight of alternative developments. It must always be clear that it is not enough to simply map an application on a quantum computer. Rather, the aim must always be to solve the application faster or better than with the best algorithms on conventional hardware.
d-fine
d-fine is a European consulting company focussing on analytically challenging topics, which are handled by a team with a scientific background and a high degree of responsibility for future-oriented solutions and their sustainable technological implementation.
HQS Quantum Simulations
The start-up from Karlsruhe specialises in the development of modern software applications for the simulation and analysis of materials at quantum level. With its solutions, it aims to open up new possibilities for accurately and efficiently predicting and analysing materials.
IQM Germany
IQM is a global leader in designing, building, and selling superconducting quantum computers. IQM provides both on-premises full-stack quantum computers and a cloud platform to access its computers anywhere in the world.
Multiverse Computing
Multiverse Computing is a leading quantum software company that applies quantum and quantum-inspired solutions to tackle complex problems in finance, banking, manufacturing, energy, and cybersecurity to deliver value today and enable a more resilient and prosperous economy. The company’s expertise in quantum algorithms and quantum-inspired algorithms means it can secure maximum results from current quantum devices as well as classical high-performance computers. Its flagship product, Singularity, allows professionals across all industries to leverage quantum computing to speed up and improve the accuracy of optimization and AI models with existing and familiar software tools. The company also has developed CompactifAI, a compressor which uses quantum-inspired tensor networks to make AI systems such as large language models more efficient and portable. In addition to finance and AI, Multiverse serves enterprises in the mobility, energy, life sciences and industry 4.0 sectors. The company is based in San Sebastian, Spain, with branches in London, Toronto, Paris and Munich.
planqc
The technology company planqc was founded in 2022 by a research team from the Max Planck Institute for Quantum Optics and the Ludwig Maximilian University of Munich. planqc builds quantum computers that store information in individual atoms. The qubits are arranged in highly scalable arrays and manipulated with precisely controlled laser pulses. planqc is the first start-up to emerge from Munich Quantum Valley.
Single Quantum
Single Quantum pioneers the innovation and commercialization of superconducting nanowire single photon detection systems. The systems are designed for demanding applications in quantum information technology, quantum communication, quantum cryptography, infrared time-resolved spectroscopy, and laser ranging and remote sensing (LiDAR). With more than 250 systems sold worldwide, Single Quantum is recognized for high quality and reliability of its products.
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