Rescheduled from Tuesday, February 12
A festival for quantum-inspired films
The Quantum Shorts festival called for short films inspired by quantum physics and the universe answered. Filmmakers all over the world responded with their movies.
Superconducting circuits have emerged as a competitive platform for quantum computation, satisfying the challenges of controllability, long coherence and strong interactions. Here we apply this toolbox to the exploration of strongly correlated quantum materials made of microwave photons. We develop a versatile recipe that uses engineered dissipation to stabilize many-body phases, protecting them against intrinsic photon losses.
Schematic of the magnetic tunnel junction created by the researchers. The hexagonal boron nitride (h-BN) enclosure protected the chromium tri-iodide from environmental effects.
Microwave optomechanical circuits have been demonstrated in the past years to be powerful tools for both, exploring fundamental physics of macroscopic and massive quantum objects as well as being promising candidates for novel on-chip quantum limited microwave devices. In this work, we explore a microwave optomechanical device consisting of a coplanar microwave cavity coupled to a mechanical high quality factor nanobeam resonator.
In our group, vertical Si nanowires grown on a 111 surface are used for force detection in nanoscale NMR and ESR. These measurements require a very long (20 µm) and minimally tapered vertical Si nanowires, to be used as nano-mechanical oscillators with a high quality factor (Q ~ 104).
This talk reflects on recent research in progress with Andras Gilyen. Over the years, there have been a number of papers dealing with quantum algorithms testing some properties of classical probability distributions. Our goal is to understand what is the right way for quantum algorithms to access the distribution. There is a number of possible models, and we analyse their mutual strength.
Quantum computation has been developed as a computationally efficient paradigm to solve problems that are intractable with conventional classical computers. Quantum computers have the potential to support the simulation and modeling of many complex physical systems, not just quantum ones, significantly more rapidly than conventional supercomputers.
We describe a new quantum paradigm, that we call Quantum Chebyshev’s inequality, to approximate with relative error the mean of any random variable with a number of quantum samples that is linear in the ratio of the square root of the variance to the mean. Classically the dependency is quadratic. To illustrate this method, we apply it to the approximation of frequency moments in the multi-pass streaming model, and to the approximation of the number of edges and triangles in the quantum graph query access model.
PhD Candidate: Jean-Philippe MacLean
Supervisor: Kevin Resch
PhD thesis presentation in QNC 0101.