Position Description: The Condensed Matter and Complex Systems Group in the Theoretical Division of Los Alamos National Laboratory (LANL) has a postdoctoral position opening in the area of quantum computing and quantum machine learning. This position provides an opportunity to develop novel quantum algorithms (including noise-resilient algorithms) and generally answer the fundamental question: what are quantum computers good for? The postdoctoral project will also explore the emerging field of quantum machine learning.

We are looking for motivated and talented PhD candidates for the new Quantum Technology research group of Martin Kliesch at the Heinrich Heine University Düsseldorf (HHU) in Germany. The group aims to fill up two positions until summer 2018.

Theoretical studies of a few-body physics experimentally realized with ultra-cold atoms

In the group of Prof. Uwe R. Fischer at Seoul National University a position is open in the field of dissipative quantum state engineering. Possible topics include applications to noiseless subsystem protection of the fidelity of error correcting codes, quantum metrology and sensing, and concrete implementation setups.
Initial appointment is for one year with a possible extension to two years. Salary is according to the Korean postdoc scale.

The selected candidates will work with our established team of physicists and engineers to build our integrated photonic quantum computation platform based on the continuous variable (CV) approach. They will be involved in all aspects of the quantum hardware system at Xanadu’s lab: design of photonic components, construction of the apparatus, and carrying out key experiments. They will also be responsible for writing patents and peer-reviewed publications describing these devices and experiments. Successful applicants will have a proven track record of accomplishments in experimental quantum optics, having developed during their research careers cutting-edge techniques for the generation, control, and detection of non-classical light.

Multiphoton quantum interference is one of the most intriguing phenomena in quantum physics, and is at the very heart of quantum computing and metrology technologies. However, the post-classical sensing and computational capabilities of multiphoton networks are yet far from being fully explored in practical experimental scenarios.

This theoretical project aims to develop scalable sensing and computational techniques based on the use of optimal linear interferometers with experimentally available photonic input states. The main idea is to exploit the full quantum information encoded in the interferometric evolution of the input photonic quantum states by employing novel measurement techniques (e.g. iterative interferometric dynamics, conditional dynamics, multiplexing and correlation measurements sensitive to the photonic inner and spatial modes).

Start date: 1 October 2018 or 1 February 2019
Application deadline: 7 May 2018
Supervisors: Dr V Tamma, Dr H Yu (Univeresity of Portsmouth), Prof G Adesso (University of Nottingham)

Open Postdoc Fellowships at the Erwin Schrödinger Centre for Quantum Science and Technology (ESQ)

The Erwin Schrödinger Center for Quantum Science and Technology ESQ is run by the Austrian Academy of Sciences in partnership with the University of Vienna, the Vienna University of Technology and the University of Innsbruck, supported by the Austrian Ministry of Education, Science and Research and cofounded by the European Commission.

Submission deadline: 

Sunday, March 25, 2018

Entropy is among the most important but also most perplexing concepts in physics. It is also a polymorphic concept: introduced in thermodynamics, we now find it in statistical mechanics, quantum mechanics, information theory, and black hole physics, to name just the most obvious. In this summer school, we will systematically explore the various concepts of entropy as they are used in state-of-the-art physics and evaluate their philosophical interpretations.

QIPLSIGML — machine learning meets quantum computation. A three-day meeting of machine learning and quantum computation communities.

The goal of the meeting is to acquaint Polish actors of the IT sector such as: researchers, engineers and entrepreneurs with quantum computation and its near term applications. Recent progress in quantum machine learning theory justifies a belief that quantum computation will find near-term applications in machine learning practice.

The pillars of modern physics, quantum mechanics and general relativity, coexist very successfully, having in their respective domains impressive observational support. However, questionable unification of the known forces, cosmological constant problems, black hole entropy puzzle, and conceptual difficulties of quantum mechanics and its application to the Universe are stumbling blocks on the way to a deeper understanding.

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