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Quantum Control (PGI-8)

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Im Quantencomputing ist der Katzenzustand - benannt nach Schrödingers Katze - ein Quantenzustand, der sich aus zwei diametral entgegengesetzten Bedingungen gleichzeitig zusammensetzt.
Schrödinger's Cat with 20 Qubits
Jülich, 13 August 2019 – Dead or alive, left-spinning or right-spinning - in the quantum world particles such as the famous analogy of Schrödinger's cat can be all these things at the same time. An international team together with experts from Forschungszentrum Jülich, have now succeeded in transforming 20 entangled quantum bits into such a state of superposition. The generation of such atomic Schrödinger cat states is regarded as an important step in the development of quantum computers.
More: Schrödinger's Cat with 20 Qubits …


Spring School 2020
!!CANCELLED!! 51st IFF Spring School - Quantum Technology
Imagine what we would know - or better: would not know - about the structure and dynamics of microscopic systems if scientists such as Albert Einstein (Nobel Prize 1921), Niels Bohr (Nobel Prize 1922), Werner Heisenberg (Nobel Prize 1932), Erwin Schrödinger, Paul Dirac (Nobel Prize 1933) and many others would not have imagined and formalised quantum mechanics.
More: !!CANCELLED!! 51st IFF Spring School - Quantum Technology …



Optimal Control

Quantum optimal control is concerned with developing innovative and efficient approaches to manipulate quantum systems. This might be achieved by avoiding adverse effects, such as decoherence or the population of undesired states, and by exploiting numerical optimizations. More: Optimal Control …

Few Body Systems

Few-Body Systems

A microscopic understanding of quantum systems is crucial for their engineering. Detailed knowledge about the interactions within a system as well as its coupling to external fields can provide opportunities for accurate quantum state manipulation and quantum sensing. More: Few-Body Systems …

Few Body Systems

Many-Body Systems

The quest for a better theoretical understanding and experimental exploitation of many-body phenomena motivates us to develop and apply innovative control approaches as well as numerical simulation techniques such as tensor network algorithms. More: Many-Body Systems …