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, including linear optical quantum computing, quantum metrology (e.g., Heisenberg limited interferometry), and fundamental physics (loop-hole free Bell measurements). We are particularly interested in utilizing
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of integration, encompassing AM equipment, data, and simulation tools. To facilitate this, this opportunity focuses on building the necessary data and computation infrastructure to enable the Integration
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computational tools to predict materials properties at the quantum level. In addition, electronic structure methods that go beyond the accuracy of DFT such as Quantum Monte Carlo, GW, and other advanced
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attracted considerable attention for potential application in nanoscale devices, including beyond-CMOS electronics, quantum computers, chemical sensors, photodetectors, etc. Prospective advantages over
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browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Progressive Structural Failure and Collapse Location Engineering Laboratory, Materials and
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigations of Molecular Interface Formation from the Perspective of Cosolvent Preferential Interactions
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corrected for, the noise and drift can directly affect not only the initial calibration of qubits, but also the coherence times and, ultimately, fidelities of the quantum control and readout operations
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RAP opportunity at National Institute of Standards and Technology NIST Advanced computational modeling techniques to enable fast screening of RNA biopharmaceutical products Location Material
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are particularly interested in developing and characterizing hybrid quantum systems (interfaces between dissimilar physical media), suitable for quantum information purposes, and exotic sources of faint light