Lab Partnering Service Discovery

Tzu-Ming Lu received his BS from National Taiwan University in 2004 and his PhD from Princeton University in 2011. He studied quantum phenomena associated with low-dimensional electron systems for his thesis. After graduate school, he joined Sandia National Laboratories as a postdoc, studying silicon-based spin qubits. He is currently a Senior Member of the Technical Staff at Sandia. His research topics include spin-based quantum computing, spin-orbit coupling, and quantum behavior of nanoscale structures. He is also a Center for Integrated Nanotechnologies (CINT) scientist, supporting user projects on quantum materials and quantum information science.

Theoretical chemist Todd Martínez develops and applies new methods that predict and explain how atoms move in molecules. These methods are used both to design new molecules and to understand the behavior of those that already exist. His research group studies the response of molecules to light (photochemistry) and external force (mechanochemistry). Photochemistry is a critical part of human vision, single-molecule spectroscopy, harnessing solar energy (either to make fuels or electricity), and even organic synthesis. Mechanochemistry represents a novel scheme to promote unusual reactions and potentially to create self-healing materials that resist degradation. The underlying tools embody the full gamut of quantum mechanical effects governing molecules, from chemical bond breaking/formation to electron/proton transfer and electronic excited states.

Martínez received his PhD in chemistry from UCLA in 1994. After postdoctoral study at UCLA and the Hebrew University in Jerusalem, he joined the faculty at the University of Illinois in 1996. In 2009, he joined the faculty at Stanford, where he is now the Ehrsam and Franklin Professor of Chemistry and Professor of Photon Science at SLAC National Accelerator Laboratory. He has received numerous awards for his contributions, including a MacArthur Fellowship (commonly known as the “genius award”). He is co-editor of Annual Reviews in Physical Chemistry, associate editor of The Journal of Chemical Physics, and an elected fellow of the American Academy of Arts and Sciences.

Current research in the Martínez lab aims to make molecular modeling both predictive and routine. New approaches to interactive molecular simulation are being developed, in which users interact with a virtual-reality based molecular modeling kit that fully understands quantum mechanics. New techniques to discover heretofore unknown chemical reactions are being developed and tested, exploiting the many efficient methods that the Martínez group has introduced for solving quantum mechanical problems quickly, using a combination of physical/chemical insights and commodity videogaming hardware. For more details, please visit http://mtzweb.stanford.edu.

Title: Associate Professor of Physics ad Astronomy, Tufts University/Senior Scientist, Computer Science Initiative

Expertise: Quantum Computing

In 2015 Love joined the Physics Department at Tufts University as an Associate Professor with Tenure. In 2018 he joined Brookhaven National Lab’s Computational Science Initiative as a Senior Scientist in a dual appointment held concurrently with his Tufts appointment. He serves as the Chair of the Scientific Advisory Board of Zapata Computing, Inc., a Boston-based quantum software startup. He is a member of FQXi.

In quantum information science Love has worked broadly on quantum simulation, including work on quantum simulation of quantum chemistry and high energy physics and on quantum lattice-gas and quantum cellular automata models. Love has also worked on adiabatic quantum computing, the theory of entanglement, on semiclassical descriptions of quantum information including wigner functions for qubits and qudits, and on efficient simulation of subtheories of quantum mechanics that lack contextuality.  

An assistant scientist in Argonne National Laboratory’s Center for Molecular Engineering and Materials Science Division.

My research focus is on point-defects (vacancies and dopants) in various semiconductors (Si, SiC, Y2O3, etc.) for material science and quantum information processing. I am interested in searching for the optimal defects and substrates depending on their applications, expanding on state-of-the-art understanding of charge, optical and spin properties. Applications include hybrid spin-mechanical quantum systems, decoherence mitigation, quantum communication and quantum and classical sensing. 

In 2008, I received my bachelor’s degree in applied physics from ENS Cachan and Université Paris 11, Orsay. I went on to receive my master’s in nanophysics in 2011 from the Saclay Campus near Paris and my Ph.D. in quantum physics in 2015 from the University of Oxford. From 2015 to 2019, I performed research as a postdoctoral fellow in the Awschalom group at the Institute for Molecular Engineering at the University of Chicago. There, my research focused on spin defects in silicon carbide and related hybrid systems for quantum information. 

My research has led to a patent application for technology related to charge conversion of defects in solid-state materials, and I have published more than 20 papers in high-impact journals.

Susan Clark has been a scientist at Sandia National Laboratories since 2013 where she has worked on a variety of quantum information-related projects on different platforms, including trapped ions and gate-defined quantum dots in silicon. She is currently the PI of the DOE-funded Quantum Scientific Computing Open User Testbed (QSCOUT) at Sandia, a project which aims to build, maintain, and provide access to quantum hardware based on trapped ions to scientists around the world. Prior to joining Sandia, she did her postdoctoral work at the Joint Quantum Institute at University of Maryland with Chris Monroe. There, she researched quantum networking with trapped ions via photons and robust two-qubit gates via phonons. Prior to her postdoctoral work, she graduated with a PhD and Masters in Applied Physics from Stanford University in 2010. At Stanford, under the direction of Professor Yoshi Yamamoto, she studied and characterized a variety of optical solid-state qubits including electron spins of silicon donors in bulk GaAs and single fluorine donors in ZnSe.

Bert de Jong leads the Computational Chemistry, Materials, and Climate Group, which advances scientific computing by developing and enhancing applications in key disciplines, as well as developing tools and libraries for addressing general problems in computational science. 

de Jong is the director of the LBNL Quantum Algorithms Team QAT4Chem, the team director of the Accelerated Research for Quantum Computing (ARQC) Team AIDE-QC, both funded by DOE ASCR, focused on developing software stacks, algorithms, and computer science and applied mathematics solutions for chemical sciences and other fields on near-term quantum computing devices. He is also a co-PI on the ARQC team FAR-QC (led out of Sandia). He is also part of LBNL’s quantum testbed, developing superconducting qubits. He is the LBNL lead for the Basic Energy Sciences Quantum Information Sciences project (led out of PNNL), where he is focusing on new approaches for encoding wave functions and embedding quantum systems. In addition, he is a co-PI on an LBNL led HEP funded quantum information science projects.

de Jong is a co-PI within the DOE ASCR Exascale Computing Project (ECP) as the LBNL lead for the NWChemEx effort, contributing to the development of an exascale computational chemistry code. He is the LBNL lead for the Basic Energy Sciences SPEC Computational Chemistry Center (led out of PNNL), where he is working on reduced scaling MCSCF and beyond GW approaches for molecules. 

He leads an LBNL funded effort on machine learning for chemical sciences, focused on developing deep learning networks (GANs and autoencoders) for the prediction of structure-function relationships and its inverse, with a demonstrating in mass spectrometry. As part of this effort, his team developed the ML4Chem Python package.

Areas of expertise: software and algorithms for near-term quantum computing devices, machine learning, supercomputing, computational chemistry.

Ivar Martin is a condensed matter theorist in the Material Science Division.

His interests include equilibrium properties of materials, including superconductivity and magnetism, as well as nonequilibrium. Recently he has been particularly interested in the ways to create new quantum states by means of strong periodic and quasiperiodic driving.

His other interests include microscopic theory of quantum decoherence and quantum measurement, ways to implement unusual correlated states in quantum hardware, and classical nonlinear phenomena of phase and mode locking. 

Martin got his undergraduate degree from the Moscow State University, and PhD from the University of Illinois at Urbana-Champaign. In 1999 he went to Los Alamos National Lab, first as a postdoc and then as a staff member. He came to Argonne in 2013.

Title: Physicist 

Technology Expertise: Quantum Materials and Qubit Technologies

Description: Ignace Jarrige’s research focuses on the characterization and optimization of quantum materials for quantum technological applications. He has expertise in the development and operation of synchrotron-based probes of the electronic and structural properties of matter. He joined Brookhaven National Laboratory in 2012, where he led the design, construction and commissioning of the Soft Inelastic X-ray scattering beamline until 2018. Currently, he is part of the Cross-Cutting Co-design Integration Team of C2QA, where he coordinates and carries out materials studies on superconducting qubits and quantum networking components, and develops materials-based strategies to improve the performance of these devices.

Gary Wiederrecht is the deputy director of the Center for Nanoscale Materials and the Nanoscience and Technology division. He is also the deputy director for Argonne’s Quantum Information Science Incubator.

Prior to this, Dr. Wiederrecht led the Nanophotonics group from 2006 to 2016 and the Nanophotonics and Biofunctional Structures group from 2016 to 2019. He joined Argonne in 1992 as a postdoctoral fellow and became a scientific staff member in 1995. He received a bachelor of science degree in chemistry from University of California, Berkeley in 1987 and a doctorate in physical chemistry from MIT in 1992.

He has received an R&D100 Award, the U.S. Department of Energy Young Scientist Award, the Presidential Early Career Award for Scientists and Engineers (PECASE), and the Argonne National Laboratory Distinguished Service Award. He is a Fellow of the American Physical Society.

He has authored or co-authored more than 145 peer-reviewed research articles and has six patents.

His research interests center on ultrafast excitation processes in nanoparticles, novel optical properties of strongly coupled hybrid nanostructures and quantum optics.

Matt Eichenfield is a Distinguished Member of the Technical Staff and the group leader of the MEMS-Enabled Quantum Photonics (MEQP) group at Sandia National Laboratories. Under Matt's direction and in collaboration with many other Sandia experts, the MEQP group works on bold solutions to the most demanding quantum science and engineering challenges using microsystems fabricated in Sandia's MESA nanofabrication facility. Examples of these microsystems include: piezoelectric photonic integrated circuits for control of atomic species with dense UV and optical circuitry; quantum transducers that convert microwave frequency quantum information between superconducting circuits, phonons, and photons; and generation of massive entangled states of photons using integrated quantum emitters and photonic integrated circuits at cryogenic temperatures. Matt received his PhD from Caltech in 2009 in the field of quantum nano-optomechanical systems and received the Demetriades Award for best thesis. Subsequently, Matt was the Kavli Nanoscience Institute Prize Postdoctoral Fellow at Caltech until joining Sandia in 2011 as a Harry S. Truman Presidential Fellow in National Security Science and Engineering.