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Full-Wave Modeling of Microwave Frequency Single Photon Sources
08 Jul 2021 | | Contributor(s):: Thomas Roth
In this talk, we present preliminary results on how fully classical computational electromagnetics methods can be leveraged to more fully characterize the performance of single photon sources. To make the development more concrete, we specifically focus on modeling a microwave frequency single...
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Nonlinear Quantum Electrodynamics in Dirac Materials
29 Apr 2021 | | Contributor(s):: Yuli Lyanda-Geller
We show that similar nonlinear effects arise in Dirac materials at much lower fields, the magnitude of the effects is significant, and they can be observed in laboratory experiments. We predict and calculate the nonlinear electromagnetic effects and discuss compounds where the nonlinear...
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Fundamental Properties of a New van der Waals Material: Tellurium
01 Apr 2021 | | Contributor(s):: Peide "Peter" Ye
We report the first experimental observation of Weyl fermions in a semiconductor -- high-quality n-type tellurene (the two-dimensional form of tellurium) achieved by atomic layer deposited dielectric doping.
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Quantum Computer, Quantum Parallelism, and Quantum Electromagnetics
18 Jan 2021 | | Contributor(s):: Weng Cho Chew
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Tunneling Into Emergent Topological Matter
14 Jan 2021 | | Contributor(s):: Jia-Xin Yin
n this talk, I will discuss the proof-of-principle methodology applied to study the quantum topology in this discipline, with particular attention to studies performed under a tunable vector magnetic field, which is a relatively new direction of recent focus...
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Peter J. Love
Peter J. Love is an assistant professor of physics and astronomy at Tufts University.His areas of expertise are:Quantum Information, Quantum Simulation, Adiabatic Quantum Computation, and...
https://nanohub.org/members/312789
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Simulating Field Theory in the Light-Front Formulation
08 Jan 2021 | | Contributor(s):: Peter J. Love
I will talk about quantum simulation algorithms based on the light-front formulation of quantum field theory. They will range from ab initio simulations with nearly optimal resource scalings to VQE-inspired methods available for existing devices.
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Quantum Mathematics: Counting, Computing, and Reasoning with Quantum Numbers
18 Dec 2020 | | Contributor(s):: Zhenghan Wang
In this talk I will explain the basics of wave functions, quantum computing, and speculate on implications for future mathematics.
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Zhenghan Wang
I was born in Tsingtao, China and received my Ph.D in mathematics from UCSD in 1993. I was an assistant Professor of Mathematics at University of Michigan from 1993–1996 and Professors of...
https://nanohub.org/members/310668
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Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting
28 Oct 2020 | | Contributor(s):: Samudra Dasgupta
In this talk, we lay out the systematic design considerations for using a NISQ reservoir as a computing engine. We then show how to experimentally evaluate the memory capacity of various reservoir topologies (using IBM-Q’s Rochester device) to identify the configuration with maximum...
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Samudra Dasgupta
Samudra Dasgupta obtained his B.Tech in Electronics and Electrical Engineering from IIT-Kharagpur 2006, followed by M.S. in Engineering and Applied Sciences from Harvard 2008 and an M.B.A. from...
https://nanohub.org/members/305162
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Nima Lashkari
https://nanohub.org/members/299067
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Physics and Computation (with Nuclear Spins)
21 May 2020 | | Contributor(s):: Gerardo Ortiz
There is a deep connection between Physics and Computation. Indeed, any computation can be represented as a physical process. In 1981 Richard Feynman raised some provocative questions in connection to the simulation of physical phenomena using a special device called a "Quantum...
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Exploring Synthetic Quantum Materials in Superconducting Circuits
30 Apr 2020 |
Superconducting circuits have emerged as a competitive platform for quantum computation, satisfying the challenges of controllability, long coherence and strong interactions. I will show our recent experiments to apply this toolbox to the exploration of strongly correlated quantum materials made...
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PennyLane - Automatic Differentiation and Machine Learning of Quantum Computations
29 Apr 2020 | | Contributor(s):: Nathan Killoran
PennyLane is a Python-based software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.
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The Magic of Intelligent Coherent Optical Processing
18 Mar 2020 | | Contributor(s):: Charles Addison Bouman
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Ranaldo Somma
Dr. Rolando Somma is a scientist working at the forefront of quantum information at Los Alamos National Laboratory (LANL). Rolando received his Ph.D. from the Instituto Balseiro, Argentina, and was...
https://nanohub.org/members/280327
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Advances in Computational and Quantum Imaging Workshop
28 Jan 2020 |
The purpose of the workshop is to bring different communities together, review recent theoretical and experimental advances and explore synergetic collaborations. The workshop aligns well with the significant investments in quantum technologies through the National Quantum Initiative in the...
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Raphael C. Pooser
Dr. Pooser is an expert in continuous variable quantum optics. He leads the quantum sensing team within the quantum information science group. His research interests include quantum computing,...
https://nanohub.org/members/275623
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Spatial Complexity in Correlated Electronic Systems
08 Jan 2020 | | Contributor(s):: Erica W. Carlson
I will discuss how understanding the formation of these patterns is vital to our understanding of electronic properties and to our eventual technological control of quantum matter. We have defined new paradigms for interpreting and understanding nanoscale electronic textures observed at the...