Sort by
Refine Your Search
-
a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
-
materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
-
potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within the Computational Chemistry and Nanomaterials Sciences group in
-
phenomenological and/or computational methods for quantum/classical dynamics in complex system. Preferred Qualifications: Rich experience with modeling in spin or atomic dynamics will be highly advantageous. Basic
-
computational models for quantum magnets and neutron scattering observables. Generate, document, and manage synthetic datasets (e.g. S(Q,ω), diffraction, thermodynamic data) for AI training and validation
-
transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate to perform experimental studies on chirality driven quantum states. This position resides in
-
challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
-
Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming for massively parallel computers. Experience with quantum many-body
-
Requisition Id 15338 Overview: We are seeking a Postdoctoral Research Associate to lead the fabrication and integration of cutting-edge quantum photonic architectures, with a focus on merging
-
for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding