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D-Wave (D-Wave Systems) se présente comme première entreprise d'informatique quantique au monde, fondée en 1999 et basée en Colombie-Britannique (Canada). Elle annonce en 2007 avoir construit le prototype d'un processeur de 28 qubits permettant de faire du recuit simulé quantique. Le , elle annonce son système D-Wave One comme le premier calculateur quantique commercial. C'est un processeur de 128 qubits basé sur la méthode du recuit simulé quantique. En , elle communique sur sa prochaine génération de processeurs contenant 2000 qubits. Plusieurs experts rappellent que le système D-Wave n'est pas un calculateur quantique général, et qu'hormis les calculs de recuit simulé, il ne présente pas d'avantage particulier sur un ordinateur classique. Les ingénieurs de Google qui ont testé D-Wave avouent qu'il n'a pour l'instant pas d'applications, ce qui a conduit Google à développer ses propres circuits quantiques à partir de 2014. Débuts difficiles et controverses La société D-W

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Informatique quantique

L'informatique quantique est le sous-domaine de l'informatique qui traite des calculateurs quantiques et des associés. La notion s'oppose à celle d'informatique dite « classique » n'utilisant que d

Superconducting quantum computing

Superconducting quantum computing is a branch of solid state quantum computing that implements superconducting electronic circuits using superconducting qubits as artificial atoms, or quantum dots. Fo

Calcul quantique adiabatique

Le calcul quantique adiabatique (en anglais, adiabatic quantum computation ou AQC) est une méthode de calcul quantique reposant sur le théorème adiabatique, qui peut être vu comme une sous-classe de

Observation of topological gravity-capillary waves in a water wave crystal

Romain Christophe Rémy Fleury

The discovery of topological phases of matter, initially driven by theoretical advances in quantum condensed matter physics, has been recently extended to classical wave systems, reaching out to a wealth of novel potential applications in signal manipulation and energy concentration. Despite the fact that wave propagation in many realistic media (metals at optical frequencies, polymers at ultrasonic frequencies) is inherently dispersive, topological wave transport in photonic and phononic crystals has so far been limited to ideal situations and proof-of-concept experiments involving dispersionless media. Here, we report the first experimental demonstration of topological edge states in a classical water wave system supporting highly dispersive wave propagation, in the intermediate regime of gravity-capillary waves. We use a stochastic method to rigorously take into account the inherent dispersion and devise a water wave crystal insulator supporting valley-selective transport at topological domain walls. Our measurements, performed with a high-speed camera under stroboscopic illumination, unambiguously demonstrate the possibility of valley-locked transport of water waves.

2019

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Advances in Magnetics Roadmap on Spin-Wave Computing

Dirk Grundler, Yiming Li, Qian Wang, Xiuwei Zhang

Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still primarily positioned in the academic domain, the scientific and technological challenges of the field are being extensively investigated, and many proof-of-concept prototypes have already been realized in laboratories. This roadmap is a product of the collective work of many authors, which covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with the Boolean digital data, unconventional approaches, such as neuromorphic computing, and the progress toward magnon-based quantum computing. This article is organized as a collection of sub-sections grouped into seven large thematic sections. Each sub-section is prepared by one or a group of authors and concludes with a brief description of current challenges and the outlook of further development for each research direction.

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

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Band structure effects on the superconductivity in Hubbard models

Ronny Thomale

We study the influence of the band structure on the symmetry and superconducting transition temperature in the (solvable) weak-coupling limit of the repulsive Hubbard model. Among other results we find that (1) as a function of increasing nematicity, starting from the square-lattice (zero nematicity) limit where a nodal d-wave state is strongly preferred, there is a smooth evolution to the quasi-1D limit, where a striking near-degeneracy is found between a p-wave- and a d-wave-type paired states with accidental nodes on the quasi-one-dimensional Fermi surfaces-a situation that may be relevant to the Bechgaard salts. (2) In a bilayer system, we find a phase transition as a function of increasing bilayer coupling from a d-wave to an s(+/-)-wave state reminiscent of the iron-based superconductors. (3) When an antinodal gap is produced by charge-density-wave order, not only is the pairing scale reduced, but the symmetry of the pairs switches from d(x2-y2) to d(xy); in the context of the cuprates, this suggests that were the pseudogap entirely due to a competing CDW order, this would likely cause a corresponding symmetry change of the superconducting order (which is not seen in experiment).

Amer Physical Soc2013

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PHYS-744: Advanced Topics in Quantum Sciences and Technologies

This course provides an in-depth treatment of the latest experimental and theoretical topics in quantum sciences and technologies, including for example quantum sensing, quantum optics, cold atoms, theory of quantum measurements and open dissipative quantum systems, etc.

PHYS-427: Relativity and cosmology I

Introduce the students to general relativity and its classical tests.

MICRO-435: Quantum and nanocomputing

The course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular automata, and spintronic computing.