Ashhab: Superconducting qubit circuits under extreme conditions
Sahel Ashhab, Qatar Environment and Energy Research Institute, Qatar Foundation
Cavity QED in the ultrastrong-coupling regime & Landau-Zaner-Stückelberg interfereometry
Cavity QED in the ultrastrong-coupling regime & Landau-Zaner-Stückelberg interfereometry
We discuss a device capable of filtering out two-mode states of light with mode populations differing by more than a certain threshold, while not revealing which mode is more populated. It would allow engineering of macroscopic quantum states of light in a way which is preserving specific superpositions. As a result, it would enhance optical phase estimation with these states. We propose an optical scheme, which is a relatively simple, albeit non-ideal, operational implementation of such a filter.
IQC presents the first in a series of lectures from members of industry in quantum computing and quantum information. Jonathan Hodges, VP of engineering for Diamond Nanotechnologies, will be speaking about his research as well as the day-to-day realities of working in industry. You can learn more about the company here: http://www.diamondnanotechnologies.com/
Progress in the field of experimental quantum information processing has been steady over the past decade with important developments continuing to be made in the understanding, design, and measurement of systems at the quantum level. As the boundaries of these measurements are pushed, we are finding that surface and interfacial properties play an increasingly important role. In general, this field has benefitted immensely from advances in VLSI.
In this talk, I will give a summary of my recent research on superconducting nanostructures for quantum detection of electromagnetic radiation. In this regard, electrodynamics of topological excitations in 1D superconducting nanowires and 2D superconducting nanostrips is investigated. Topological excitations in superconducting nanowires and nanostrips lead to crucial deviation from the bulk properties.
We will review several proof of principle applications for graphene based devices performed in our group, including in field sensors, electronics, THz spectroscopy, spintronics, nanofluidics, and even musical instruments. We will then discuss the synthesis mechanism of graphene as well as the synthesis of very large single layered graphene monocrystals with various shapes, ranging from hexagons to fractals, dubbed graphlocons.
The quantum revolution is poised to move out of the laboratory and into the marketplace. Technologies that exploit the laws of quantum mechanics will outperform their classical counterparts providing advantages we are only beginning to capitalize on. These technologies will be one step closer with the development of a new method for linking small quantum processors.
We provide a quantum algorithm for simulating the
dynamics of sparse Hamiltonians with complexity sublogarithmic in
the inverse error, an exponential improvement over previous methods.
Unlike previous approaches based on product formulas, the query
complexity is independent of the number of qubits acted on, and for
time-varying Hamiltonians, the gate complexity is logarithmic in the
norm of the derivative of the Hamiltonian. Our algorithm is based on
a significantly improved simulation of the continuous- and
NMR (Nuclear Magnetic Resonance) is a versatile probe of condensed matter, and has a broad range of applications in chemistry, medicine (MRI), oil industry, etc. NMR has become so popular outside the conventional realm of physics that the crucial role NMR has been playing in condensed matter physics is sometimes overlooked. I will explain how condensed matter physicists use NMR as a powerful low energy probe of solids, drawing examples from modern research into statistical physics, magnetism, and superconductivity.
We derive new Heisenberg-type uncertainty relations for both joint measurability and the error- disturbance tradeoff for arbitrary observables of finite-dimensional systems. The relations are formulated in terms of a directly operational quantity, namely the probability of distinguishing the actual operation of a device from its hypothetical ideal, by any possible testing procedure whatsoever.