Spring 2021

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.

Research Group to Create One-Dimensional Lattice for Electrons

  • By Jennifer Zheng
  • 20 April 2021

A team of researchers led by Jeremy Levy and several PQI members recently published a paper in Nature describing how the Kronig-Penney model is reproduced within a programmable oxide material. Introduced in 1931, this model shaped our understanding of materials that are used to create computers and other technology. 

Using an atomic force microscope, lead author Megan Briggeman created an artificial one-dimensional lattice of buckets and discovered that placing electrons in it caused them to interact in unexpected ways. In some sense, they acted as though the charge carriers were fractions of an electron. The observed behavior extends far beyond the simple Kronig-Penney model and appears in the real system, which contains hundreds of electrons.

The research was part of a larger effort to produce new electronic states of matter that may be helpful in developing future technologies such as quantum computers.

Congrats Jeremy, Megan, and team!
 

Grant Received for Studying Material Stability

  • By Jennifer Zheng
  • 31 March 2021

Olexandr Isayev, Geoff Hutchison, and their team of researchers received a $1.7 million grant from the Department of Defense’s Office of Naval Research for their Multidisciplinary University Research Initiative. Their project aims to gain a better understanding of how organic molecules and polymeric materials degrade under stress. Isayev’s lab plans to develop a computational framework using fast simulations for degradation pathways, reaction networks and artificial intelligence. Hutchison’s lab will use a variety of methods to make massive automated quantum chemical calculations. The results will not only allow future materials to be better designed for stability, but also offer tools that will help chemists and materials scientists quickly predict degradation pathways and products.

Congrats Olexandr and Geoff!

 

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...

Grant Received for Developing New Type of Quantum Computer

  • By Jennifer Zheng
  • 17 March 2021

Jeremy Levy, Hrvoje Petek, and their team of researchers received a $7.5 million grant from the Office of Naval Research for their Multidisciplinary University Research Initiative to develop more efficient quantum computers. Their project, titled “Topological Spin Qubits Based on Graphene Nanoribbons,” seeks to develop a new type of qubit based on tiny strips of carbon atoms called graphene.

As of yet, no approach has been able to decisively meet all of the requirements for a scalable quantum computer. The team aims to change that by combining lithographic capabilities with synthetic chemistry protocols to create and manipulate atomically precise graphene nanoribbons in ways that may be useful for future quantum computing architectures.

Congrats Jeremy and Hrvoje!

Michael Hatridge receives 2021 Chancellor’s Distinguished Research Award

  • By Jennifer Zheng
  • 10 March 2021

The Chancellor's Distinguished Research Award annually recognizes outstanding scholarly accomplishments of members of the University of Pittsburgh's faculty. Junior Scholars include faculty members who have demonstrated great potential through the quality of their early contributions.

Professor Michael Hatridge is an outstanding researcher and has made significant contributions to the field of quantum information and quantum computing.  He has won multiple awards including the 2020 Alfred Sloan Research Fellowship and the 2019 NSF CAREER Award, and his research has been published by Nature, Science, Applied Physics Letters, and more.

Congratulations Michael!
 

Noa Marom Recieves ACS OpenEye Outstanding Junior Faculty Award

  • By Jennifer Zheng
  • 10 March 2021

Congratulations to Professor Noa Marom for winning the Spring 2021 American Chemical Society (ACS) OpenEye Outstanding Junior Faculty Award! 

This prestigious award is given to junior faculty members who show promise in computational chemistry and modeling. Up to four applicants are selected to win a $1000 prize and the opportunity to present their work at the San Antonio ACS National Meeting. 

Marom’s research uses quantum mechanical simulations, machine learning, and optimization algorithms to design materials with desired properties for various applications. Her award-winning work specifically involves the structure prediction and discovery of molecular crystals with enhanced electronic properties.

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