quantum computation

We are looking for a Quantum Algorithm Developer who will join our team of Quantum Physicists creating next generation quantum computers. The role involves mainly the development of algorithms and quantum hardware proposals using the ParityQC architecture. We are developing ParityOS, a toolchain of software that translates optimization problems from its raw mathematical formulation to a complete quantum program, that can be specifically customized for the underlying hardware platform.

Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we want to strengthen our research at the Walther-Meißner-Institute (WMI – wmi.badw.de)  of the Bavarian Academy of Sciences and Humanities and the Technical University of Munich (http://www.tum.de) and offer a team lead position within the Munich Quantum Valley (http://www.munich-quantum-valley.de) and the German quantum computing project MUNIQC-SC  (t1p.de/8c6h).

Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we want to strengthen our research at the Walther-Meißner-Institute (WMI – wmi.badw.de)  of the Bavarian Academy of Sciences and Humanities and the Technical University of Munich (http://www.tum.de) and offer several postdoctoral positions within the Munich Quantum Valley (http://www.munich-quantum-valley.de) and the German quantum computing project MUNIQC-SC  (t1p.de/8c6h).

Quantum- and physics-inspired optimization has attracted lots of attention in recent years, as fundamentally novel paradigms towards solving large-scale combinatorial problems. The underlying principle is to encode a given problem into the natural dynamics of physical systems, and to achieve potentially stronger convergence and higher precision through careful external control. Physics-inspired optimization algorithms, such as coherent Ising machines and simulated bifurcation, mimic the dynamical properties of physical systems on conventional hardware – with the goal to inherit certain features, such as natural convergence towards low-energetic states. At Huawei, we investigate a wide range of topics related to quantum- and physics-inspired optimization, from the most fundamental mathematical structures, deep understanding of physical models, to high-performance implementation of novel optimization architectures.

(This is a re-posting as the deadline is near ....)
This position is associated with a project entitled "Quantum Machine Learning", and includes the following possible research topics: