quantum computing

Dear Colleagues,

The preliminary programme for the Quantum Machine Learning Workshop 18-22 July 2016 at the Palm Dune Beach Lodge in South Africa is now online: http://www.quantummachinelearning.org/programme.html. We allocated plenty of time for talks and breaks in order to facilitate a focussed and intimate discussion. The talks start on Monday afternoon and end on Friday midday to allow for convenient travel arrangements.

The keynote speakers are (in alphabetical order):

The 2016 International Summer School on Quantum Information Computing & Control (QuICC) will be held between the 29th August and 2nd September at Lancaster University. This event is organised by students from the doctoral training centres at Imperial College London. It aims to bring together experimental and theoretical physicists studying quantum phenomena in a variety of systems.

Many-body physics with photons and polaritons is a highly interdisciplinary field, merging diverse areas such as nano-photonics, quantum optics, condensed matter physics, and quantum technologies. The inherent accessibility to local observables, and the ability to probe out-of-equilibrium phenomena make driven many-body photonic systems especially promising for a variety of applications in quantum simulations and quantum computing, as well as in materials science and optical circuitry.

Dear all,
We are announcing Quantum UK 2015: The Science and Innovation Conference of the UK Quantum Technology Hubs. You are all warmly invited to attend! The conference will be held at St. John’s College, Oxford, from 28th-30th September.

We will hear the latest developments from all 4 of the UK Q. Tech. Hubs, focussed on quantum enhanced imaging, sensing, communications and computing. We will also have reports from the global Q. Tech.

Oxford Instruments and IOP invites you to join an informative webinar on one-dimensional quantum wire: physics and applications at ultra low temperatures, to be held on thursday, 26th March at 15:00 GMT (16:00 CET, 10:00 EST), presented by two speakers:

This is an exciting time to be studying quantum algorithms. As the technological challenges of building a quantum computer continue to be met there is still much to learn about the power of quantum computing. Which problems could a quantum computer solve faster than a classical device? and which problems remain hard? What will be the killer application that incentives industrial investment?

Quantum information processing provides a plethora of new problems and research topics suitable for tackling using computer algebra systems. This includes the problems of characterizing multipartite entanglement, generation and optimization of quantum computational circuits and analysis of quantum walks and quantum automata. In the reverse direction, quantum algorithms which outperform their classical counterparts may be of use in symbolic calculations (e.g. Grobner Bases).