[agents] International workshop on AI and Machine Learning applied to quantum computing (Co-located with PRICAI/PRIMA in GoldCoast, Australia)

[Tony Savarimuthu]

International Workshop on Artificial Intelligence and Machine Learning Applied to Quantum Computing
Website: www.wichita.edu/QuantumLearningLabs

Description of the Workshop:
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According to Time Magazine, “Quantum computing represents the marriage of two of the great scientific undertakings of the 20th century, quantum physics and digital computing” [1].Quantum computing takes advantage of the rather odd and counter-intuitive rules of quantum mechanics like: superposition (a quantum system can be in more than one state or even one place at the same time), entanglement (instantaneous interaction at a distance) and quantum tunneling (a quantum system can switch states without surmounting an energy barrier between).  Using these, a quantum computer can be built from very small, atomic sized, devices that can solve classical computing “hard problems”, and even quantum problems that are classically impossible to formulate and solve.  The down side is: 1) quantum computers can be very difficult to build, and 2) they are difficult or impossible to program.

Recent advances have dramatically addressed the first issue.  D-wave Systems Inc. has developed commercially available quantum computing hardware that implements 512 super-conducting quantum interference (SQuID) devices as quantum bits (qubits).  A NASA Google partnership has purchased and installed a 512-qubit D-Wave Two™ device at Ames and has established the Quantum Artificial Intelligence Laboratory (QuAIL) at its NASA Advanced Supercomputing (NAS) facility.

This workshop addresses the second difficulty by bringing together researchers to share their work on using machine learning in quantum computing and adapting other AI methods for quantum computers. Contributed papers are solicited in all relevant areas, including (but not limited to):
    quantum memory and learning,
    quantum random walks,
    quantum perceptrons, quantum control,
    quantum pattern recognition,
    quantum error correction, and
    quantum hardware implementation.

Invited speakers and members of the Program Committee include:
James Steck and Elizabeth Behrman (organizers), Wichita State University, Wichita, KS, USA;
Alexandr Ezhov, Troitsk Institute for Innovation and Fusion Research, Troitsk, Russia;
Wilson Oliveira, Universidade Federal Rural de Pernambuco, Recife, Brazil;
Francesco Petruccione, University of KwaZulu-Natal, Durban, South Africa.

Important dates:

    Paper submissions: 22 September 2014
    Paper notifications: 16 October 2014
    Workshop Proceedings due:          November 07, 2014
    Workshop Dates:                    December 1~3, 2014

[1]  Time Magazine cover article, February 17, 2014, pp. 26-33.