quantum computing

Submission deadline: 

Monday, February 15, 2016

Registration deadline: 

Monday, February 15, 2016

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.

The Quantum Computing Lab in the Department of Computer Science at Virginia Commonwealth University is seeking a motivated PhD student in the area of quantum computation and information. Our lab currently focuses primarily on Quantum Hamiltonian Complexity, though areas such as quantum algorithms and quantum cryptography are also of interest. More information can be found at:

http://www.people.vcu.edu/~sgharibian/index.html

Tuition and stipend are provided.

Submission deadline: 

Sunday, September 27, 2015

Registration deadline: 

Tuesday, September 29, 2015

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.

Submission deadline: 

Wednesday, March 25, 2015

Registration deadline: 

Wednesday, March 25, 2015

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:

Registration deadline: 

Sunday, April 5, 2015

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?

Pages

Subscribe to RSS - quantum computing