Quantum Computing

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Research Unit C: Quantum Computing

A quantum computer is a device that uses funda­mental laws of quantum physics, such as the su­perposition principle, to process information. Its building blocks are quantum bits (or qubits) and quantum gates. Equipped with this, a quantum computer can solve problems (e.g. factorization of large numbers, solution of certain equations, description of the evolution of a many-body quan­tum system) that no classical device (such as a supercomputer) will ever be able to address.

RU-C-Q-Comp

The first prototypes of quantum processors have already been built, using trapped ions and super­conducting devices. Other physical implementa­tions, such as quantum dots in semiconductors, colour-centers in solids, or photons, are also being thoroughly investigated.

However, a scalable quantum device is still far from realization. In fact, the construction of such a device is one of the most challenging enterprises confronting science and technology to date.

One of the main ob­stacles is the presence of decoherence, that is, uncontrolled interaction of the quantum device with its environment. Fortunately, error-correct­ing codes can overcome the effect of deco­herence, although so far existing proposals are not sufficiently practical. In any case, companies such as Google, Microsoft, IBM, and Intel have taken a leading role in order to develop quantum computers in the next decades.

At the same time, quantum soft­ware, i.e. programs that run on a quantum computer and that solve complex problems, is being developed in companies and re­search institutions. Prototypes of quantum computers involving dozens of qubits have already been announced, although it is not clear if they will be able to outperform classical computers in any useful task. Another approach is coherent quantum annealing, which could be used for opti­mization problems. Although quantum annealers have been constructed, they still suffer from high degrees of decoherence and it is unclear if under those circumstances they will become useful at all.

In the past, Munich scientists have identified and developed several technologies for quantum com­puting. They have also investigated ways of avoiding, mitigating or even harnessing decoherence for quantum information processing. They will join forces in order to significantly advance the field.

In order to pursue its main research goals, RU-C will pursue new experimental techniques, while collaborations with RU-A, RU-B, and RU-F will combine ideas of topological matter and quantum control to address decoherence. At the same time, as a result new para­digms of research will be explored. The work on quantum computing in this research unit (RU-C) is complemented by that on analogue quantum simulators in RU-B and will strongly profit from the interaction with the groups working on quantum information theory (RU-A) and quantum sensing (RU-E).

RU-C Coordinators

Rudolf Gross

Technical Physics

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Steffen Glaser

Organic Chemistry

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Active Members in RU-C

Martin Brandt

Experimental Semiconductor Physics

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Ignacio Cirac

Quantum Theory

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Frank Deppe

Technical Physics

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Stefan Filipp

Quantum Computing

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Jonathan Finley

Semiconductor Nanostructures and Quantum Systems

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Hans Hübl

Magnetism, Spintronics and Quantum Information Processing

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Gregor Koblmueller

Semiconductor Quantum Nanomaterials

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Robert König

Quantum Communication Theory and Quantum Computation

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Lode Pollet

Theoretical Nanophysics

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Frank Pollmann

Theoretical Solid State Physics

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Norbert Schuch

Entanglement of Complex Quantum Systems

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Michael Wolf

Mathematical Physics

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