DLR institute


We are designing a novel analogue quantum computing machine (AQuRA) based on continuous quantum variables. For this purpose, we are creating quantum algorithms and developing software to simulate AQuRA and the associated algorithms on classical computing systems.

Our goal is to develop the functional concept of an analogue quantum computing machine based on continuous quantum systems. For this purpose, we are transferring concepts from classical analogue computing into the quantum domain. In particular, we are investigating the use of AQuRA as a quantum simulator for resource-efficient simulations of quantum mechanical, multi-particle systems. These multi-particle systems are very relevant in medicine and materials physics, for example, as well as for the development of new quantum technologies. By collaborating with anabrid, we are identifying optimal applications of both classical and quantum mechanical analogue computers.


The performance of currently available quantum computers is still limited. In order to exploit the full potential of quantum computing, new and unconventional approaches are also required. Therefore, in the AQuRA project, we are developing the functional concept for an analogue quantum computing machine (AQuRA). Compared to the two discrete basis states of a qubit, this type of computing has an infinite-dimensional, continuous basis and thus has considerable quantum resources available. Due to the quantum phenomena of interference and entanglement, AQuRA can, in principle, achieve a quantum advantage over a classical computer.


Enabling computing with continuous quantum systems requires overcoming challenges of a very different nature. First, we have to develop the general functional concept of AQuRA. For this purpose, we define, for example, the computing paradigm and identify suitable methods for the preparation and readout of the quantum systems. Of particular importance is the development of the elementary operations and the entanglement of the individual quantum systems. We are also developing an architecture and exploring suitable physical systems for the implementation of AQuRA. The identification of possible areas of application for AQuRA is also of particular interest. For example, we are investigating its suitability as a largely universal quantum simulator. Finally, we want to use a simulation to estimate the potential of AQuRA by means of a benchmark.

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