qis quantum

ResearchThe IQIM is driven by the belief that there is a rare convergence of theoretical insights and experimental capabilities that offers remarkable opportunities for discoveries of new principles and phenomena at the multidisciplinary interfaces of Physics and Quantum Information Science (QIS).IQIM aims to discover new physics in the quantum realm and to build scientific foundations for designing materials and devices with remarkable properties.Researchers in QIS and several fields of physics will come together to explore large-scale quantum phenomena that are possible when particles such as atoms, photons and electrons are strongly correlated or entangled.In four major research thrusts outlined below, IQIM scientists investigate and manipulate entangled systems and materials in order to advance basic science and build the foundations for future technologies including quantum computers.Quantum Matter with an emphasis on emergent quantum phenomena, including quantum Hall physics, topological states of matter, exotic magnetic systems, and ultra-cold atomic gases, with strong connections to powerful theoretical techniques from QIS.

Our researchers in these areas are Xie Chen, Jim Eisenstein, Manuel Endres, Matthew Fisher, David Hsieh, Alexei Kitaev, Lesik Motrunich, Stevan Nadj-Perge, Gil Refael, and Nai-Chang Yeh.Mechanical Quantum Systems that will build upon recent advances in opto-and electro-mechanics 1) to achieve quantum control of single phonons in simple material systems, thereby enabling lithographic fabrication of quantum many-body systems with phonon mediated interactions, and 2) to create human-sized objects in entangled quantum states within the setting of LIGO.Faculty in this area include Rana Adhikari, Yanbei Chen, Jeff Kimble, Oskar Painter, Keith Schwab, and Kerry Vahala.Trump Budget Slashes Science, Confrontation with Congress Looms Scientists March on Washington and Cities Worldwide Congress Stands by Science in Final Budget Deal National Academies Releases Sweeping Review of Research Misconduct and ‘Detrimental’ Practices Perry Confirmed as Energy Secretary, Says He Will Be ‘Powerful Advocate’ for DOE

de Riedmatten, Hugues ICREA Research Professor at Institut de Ciències Fotòniques (ICFO).Engineering Sciences Short biography Since Sep.
how to use davinci vaporizer2010, Hugues de Riedmatten is an ICREA Research Professor and group leader in quantum optics at the Institute of Photonic Sciences (ICFO) in Barcelona.
vape critic grinder reviewHe obtained a Masters in Physics from the Swiss Federal Institute of Technology (EPFL) in 1999, and a PhD in experimental quantum optics from the University of Geneva in 2003, for his work on long distance quantum communication in optical fiber (supervisor Prof. Nicolas Gisin).
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He was then postdoctoral scholar at Caltech (Prof.Jeff Kimble), where he worked on light-matter interaction at the quantum level by interfacing cold atomic ensembles and single photons.
vaporizer ganjaIn 2006, he was appointed senior researcher at the Univ.
cairan vaporizerof Geneva, where he led the solid state quantum memory activities.
vaporizer vs smoking weedHe has published around 75 articles in peer-reviewed journals and has given over 45 talks, both in international conferences and in invited seminars.
iqos nyHe is the recipient of a Starting Grant from the European Research Council (ERC).
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Research interests Hugues de Riedmatten leads the Quantum Photonics group at ICFO.His research interests are in quantum information science (QIS) and quantum optics.
iqos south africaQIS is a research field that aims at controlling quantum coherence in light and matter in order to enable new information processing capabilities impossible with classical resources.He is now particularly interested in the quantum control of light matter interaction between single photons and atomic ensembles implemented with rare-earth doped solids and cold atomic gases.The goal is to develop the quantum technology to implement quantum information networks and quantum repeaters.A more fundamental goal is to enable the observation of fascinating quantum effects, such as entanglement, with distant material systems and to explore and extend the limits of quantum coherence in complex material systems.Key words Quantum Information, Quantum optics, Quantum memory, Entanglement

There are many combinatorial optimization problems in our society, such as route planning in logistics, radio-frequency allocation in communication, and circuit layout in VLSI chip design.It is very important to solve these problems as fast and as accurate since, it is believed that, there are no efficient algorithms to solve them exactly.We proposed a coherent Ising machine based on lasers [1] and degenerate optical parametric oscillators (DOPOs) [2] to tackle these problems since 2011.In 2014, the time division multiplexing implementation is experimentally demonstrated [3].Now we are targeting large-scaled coherent Ising machines and working on both hardwares and softwares in our group.This is a joint research with NTT basic research laboratories, The University of Tokyo, Osaka University and Stanford University supported by The Cabinet Office of Japan (see also the ImPACT project page).The coherent Ising machine directly implements an Ising problem.This feature of non-Von Neumann architecture is similar to that of D-wave machines (quantum annealer.

In our machine, the Ising spin (±1) is represented by the basis of oscillation of a DOPO.The mutual interactions J are implemented by the optical injection between each pair of N DOPOs.Then the whole network automatically finds the lowest energy state (configuration of the basis of oscillation), which corresponds to the optimal solution of the given Ising problem.We analyze the DOPO network in a coherent Ising machine with a quantum-optical model [4].In this model we observed rich physics such as non-equilibrium because of thermal bath effect and turn-on-delay, phase transition of the network from the disordered phase to the ordered phase and quantum correlation such as quantum entanglement between DOPOs.The motivation is to understand the quantum-mechanical processes during the computation.When we use N independent laser/DOPOs to implement an Ising problems with N spins, we must install ~N^2 stabilized optical injection paths with ~N^2 optical intensity/frequency modulators.Time-division multiplexing enables to generate N optical pulses simultaneously in a single ring cavity, which only needs N-1 optical delay lines for the ~N^2 mutual injections.

These N-1 optical delay lines can be replaced by a measurement-feedback circuit (Fig.A programmable circuit (FPGA) stores the information of the adjacency matrix J and generate a feedback pulse train from the measured signal.This implementation is scalable as far as the FPGA memory size and matrix-vector multiplication throughput is sufficient, hence the promising target will be an N ~ 10^4 pulses coherent Ising machine (1 GHz pulse repetition in a 2km fiber ring cavity).Experimental implementations are demonstrated on an N=2 laser network [5] and N = 4, 16 DOPO networks [3, 6].In the N = 4 DOPO case, the success rate is more than 99.9% (i.e., a coherent Ising machine found the ground state 1000 times in 1000 trials).We demonstrated numerical experiments on maximum cut problems (MAX-CUT) on larger complete graphs of the order 40 ≦ N ≦ 20000 [7].(Note: The MAX-CUT is equivalent to Ising problems.In a complete graph, all spin pairs are fully connected.)Since the MAX-CUT is NP-hard in general, time to reach the target solutions are evaluated, which are calculated by a semi-definite programming relaxation algorithm with 87.8%-performance guarantee proposed by Goemans and Williamson (GW).

We also show the result of another heuristic algorithms, such as simulated annealing (SA), which perform better than GW in practical.A coherent Ising machine (CIM) with all-optical mutual injection reaches the GW solution in constant number of round trips, i.e., constant time independent of the input problem size (Fig.When we scale up the system, there are two options to pack a larger number of pulses inside a cavity: 1) fix the cavity circulation frequency and use higher pulse repetition rate, 2) fix the pulse interval and use a longer optical fiber.The former way doesn’t change the computation time, while the computation time scales linearly as the fiber length in the latter case (Fig.[1] S. Utsunomiya, et al., Opt.Express 19, 18091 (2011).[2] Z. Wang, et al., Phys.A 88, 063853 (2013).[3] A. Marandi, et al., Nature Photonics 8, 937 (2014).[4] K. Takata, et al., Phys.A 92, 043821 (2015).[5] S. Utsunomiya, et al., Opt.Express 23, 5 (2015).[6] K. Takata, et al., to be submitted.[7] Y. Haribara et al., arXiv:1501.07030 [quant-ph].