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frameworks such as Qiskit, CUDA-Q, PennyLane, Cirq, or equivalent platforms, and knowledge of quantum algorithms, quantum error correction, fault-tolerant computing, or quantum resource estimation. Experience
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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/or benchmark quantum algorithms for material science simulation on early fault-tolerant quantum computers, within an emerging hybrid quantum-classical software ecosystem. Quantitatively compare and
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machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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, software developers, and researchers to integrate advanced analytics into mission applications. Design and execute computational studies to assess algorithm performance, quantify uncertainty, and generate
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five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate
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an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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that span low-power edge computing utilizing spiking neural network algorithms to large models utilizing agentic AI to solve complicated problems in nuclear safeguards, warhead monitoring and fundamental