Seminars

Lilo Pozzo, University of Washington (CMU Chemistry)

Speaker(s): 
Dr. Lilo Pozzo
Dates: 
Wednesday, May 5, 2021 - 4:30pm

Understanding Nanoscale and Molecular Processes in Emulsions Systems

See CMU Chemistry departmental email or contact the host, Olexandr Isayev, at olexandr@cmu.edu for zoom link.

Abstract: Emulsions are dynamic and complex systems with several physical mechanisms possibly leading to the formation, destruction and transformation of their interfacial and bulk structures. Simultaneously, emulsions are increasingly being used in consumer products (creams, cosmetics), for the synthesis of...

Andrea Skolik, Leiden University (SciML Webinar)

Speaker(s): 
Dr. Andrea Skolik
Dates: 
Thursday, April 29, 2021 - 11:00am

Reinforcement Learning With Quantum Neural Networks

Zoom linkhttps://cmu.zoom.us/j/99244798052?pwd=dTlCYkpHK3kzdStEd3FuWWU5amJ4dz09 

Website: https://www.cmu.edu/aced/sciML.html

Abstract: Quantum machine learning has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. Research in this area has focused primarily on variational quantum algorithms, and several proposals to enhance supervised, unsupervised and reinforcement learning algorithms with quantum computing have been put forward. Out of the three, RL is the least studied and it is still an open question whether near-term quantum algorithms can be competitive with state-of-the-art classical approaches based on neural networks even on simple benchmark tasks. In this talk, I will introduce a variational quantum algorithm for deep Q-learning and explain which architectural choices of the quantum model are crucial to make it competitive with its classical counterpart on a benchmark learning task.

Dr. Konstantinos Vogiatzis, University of Tennessee (CMU Chemistry Seminar)

Speaker(s): 
Dr. Konstantinos Vogiatzis
Dates: 
Wednesday, April 14, 2021 - 4:30pm

Coupling Electronic Structure Theory with Machine Learning for Chemical Applications

Abstract: Our recent efforts on the development of new computational methods that couple quantum chemistry with machine learning will be discussed. First, a novel molecular fingerprinting method based on persistent homology, an applied branch of topology, that can encode the geometric and electronic structure of molecules for chemical applications will be presented. We have demonstrated its applicability on studies on non-covalent interactions between functional...

Dr. Vlad Pribiag, UMN (STO Seminar)

Speaker(s): 
Dr. Vlad Pribiag
Dates: 
Friday, March 26, 2021 - 3:00pm

Title: Magnetic properties of NdTiO3/SrTiO3 interfaces and broader implications

Abstract: SrTiO3-based thin-film heterostructures are a powerful platform for studying a wide array of electronic phases in two dimensions, at high carrier densities. I will discuss our low-temperature electronic transport studies of NdTiO3/SrTiO3 interfaces, which reveal an interplay between local ferromagnetic order, Kondo scattering and spin-orbit coupling. As the magnetic field angle is gradually tilted away from the sample normal,...

Dr. Beate Heinemann, DESY (Pitt/CMU Colloquium)

Speaker(s): 
Dr. Beate Heinemann
Dates: 
Monday, March 22, 2021 - 4:00pm

A new experiment to study non-perturbative QED in electron-LASER and photon-LASER collisions

Abstract: The LUXE experiment (LASER Und XFEL Experiment) is a new experiment in planning at DESY Hamburg using the electron beam of the European XFEL. LUXE is intended to study collisions between a high-intensity optical LASER and 16.5 GeV electrons from the XFEL electron beam, as well as collisions between the optical LASER and high-energy secondary photons. The physics objective of LUXE are processes of Quantum Electrodynamics (QED) at the strong-field...

Quantum Bipartite Systems: Theory and Applications

Speaker(s): 
Dr. Lu Wei
Dates: 
Tuesday, March 16, 2021 - 10:00am

Abstract

Quantum information theory, a multi-disciplinary area of quantum physics, computer science, and mathematics, aims at understanding the theoretical underpinnings of quantum sciences that enables quantum computing and communications. Crucial to successful exploitation of the quantum revolutionary advances is the understanding of the non-classical phenomena of quantum entanglement. In this talk, we study the entanglement of quantum bipartite model and its applications to quantum information processing. 
 
In the first part of the talk, we discuss our...

Superconductivity in low-density Dirac materials

Speaker(s): 
Dr. Vladyslav Kozii
Dates: 
Tuesday, March 2, 2021 - 4:00pm

The experimental observation of superconductivity in doped semimetals and semiconductors, where the Fermi energy is comparable to or smaller than the characteristic phonon frequencies, is not captured by the standard lore. In this talk, I present a mechanism for superconductivity in low-density three-dimensional Dirac materials that are close to a ferroelectric quantum critical point. I show that while the Coulomb repulsion between electrons is strongly screened by the lattice polarization near the critical point, the electron-phonon coupling is significantly...

"Quantum Advantage in Quantum-Limited Classical Optical Communications using NISQ Processors

Speaker(s): 
Dr. Kaushik Seshadreesan
Dates: 
Thursday, March 4, 2021 - 10:00am

Demonstrating quantum advantage using near-term, noisy intermediate-scale quantum (NISQ) processors is a topic of keen interest in quantum computing. In laser communication systems that operate in the quantum-limited weak signal regime, such as deep-space optical communications, it has been rigorously proven that there exists a fundamental gap in terms of capacity and decoding error probability between conventional receivers that detect received modulated optical pulses one at a time, and "joint detection" receivers that collectively process optical pulse sequences (codeword blocks) in the...

Shedding Light on the Enigma of High Temperature Superconductivity in Monolayer FeSe / SrTiO3

Speaker(s): 
Dr. Kyle Shen
Dates: 
Monday, March 1, 2021 - 4:00pm

Quantum materials host a vast array of emergent electronic phenomena, including high-temperature superconductivity, topological properties, and nanoscale charge / spin ordering. One of the challenges is to be able to precisely and deterministically manipulate their properties. To achieve this control, we employ molecular beam epitaxy (MBE) to synthesize artificial quantum materials with atomic layer precision, combined with angle-resolved photoemission spectroscopy (ARPES) which provides direct insights into the electronic structure. In particular, I will focus on...

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