Seminar

Wavelength selective thermal emitters using nitride quantum wells and photonic crystals

Dr. Dongyeon Daniel Kang, Kyoto University

Wavelength selective thermal emitters are highly desired for the development of the compact/energy-efficient spectroscopic sensing systems capable of detecting various gases such as CO_x, CH₄, and NO_x, which are strongly needed in environmental science, medical care, and other industrial applications. In addition, for the latter applications, dynamic control of thermal emission intensity is important for such emitters because synchronous detection can increase the signal-to-noise ratio significantly.

Daniel Kyungdeock Park, Korea Advanced Institute of Science and Technology

Machine learning is an interesting family of problems for which near-term quantum devices can provide considerable advantages. In particular, exponential quantum speedup is recently demonstrated in learning a Boolean function that calculates the parity of a randomly chosen input bit string and a hidden bit string in the presence of noise, the problem known as learning parity with noise (LPN).

Li Liu

Following my previous seminar talk on embezzlement of entanglement, this talk introduces a more general version of the problem — self-embezzlement. Instead of embezzling a pair of entangled state from a catalyst, self-embezzlement aims to create two copies of the catalyst state using only local operators. 

Hakop Pashayan, The University of Sydney

We present a method for estimating the probabilities of outcomes of a quantum circuit using Monte Carlo sampling techniques applied to a quasiprobability representation. Our estimate converges to the true quantum probability at a rate determined by the total negativity in the circuit, using a measure of negativity based on the 1-norm of the quasiprobability. If the negativity grows at most polynomially in the size of the circuit, our estimator converges efficiently.

Ludwig Mathey, University of Hamburg

While traditional means of influencing material properties are static, I will present our recent studies of dynamical control of high-temperature superconductors via light pulses. Specifically, I will discuss both light enhanced superconductivity, for which we propose a parametric amplification mechanism, as well as light induced superconductivity. As a second platform, I will describe dynamics in driven cavity-BEC systems.

Nadine Stritzelberger

In this seminar I will discuss my research, which is concerned with three different topics in the related fields of Quantum Theory, General Relativity and Cosmology.

Li Liu

Entanglement is a type of resource used in quantum information theory that gives correlations that cannot be simulated using classical probability theory. It is known that entanglement cannot be created locally. 

Dhinakaran Vinayagamurthy

Trusted-execution environments (TEE) like Intel SGX provide a promise for practical secure computations on users' sensitive data in untrusted computing environments like cloud and blockchains. TEEs are designed using a combination of hardware enforced access controls and cryptography. While there is extensive research on attacking and hardening the access control mechanisms, the advent of quantum computers also requires hardening the cryptography used by TEEs for their long-term security against quantum adversaries.

Ken Andersen, Neutron Instruments Division, European Spallation Source ERIC

The European Spallation Source is currently under construction in Lund, Sweden. It is designed to provide world-leading performance, with instruments optimized for the long-pulse time structure of the facility, making full use of the world’s brightest neutron beams for the study of materials ranging from biological systems and soft matter to engineering materials, structural chemistry and magnetism.

Jun Fan, City University of Hong Kong

Two-dimensional nanomaterials could cause structural disruption and cytotoxic effects to cells, which greatly challenges their promising biomedical applications including biosensing, bioimaging, and drug delivery. Here, interactions between lipid liposomes and hydrophobic nanosheets is studied utilizing coarse-grained (CG) molecular dynamics (MD) simulations. The simulations reveal a variety of interaction morphologies that depend on the size and the orientation of nanosheets.