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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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