Job Details Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description We have an opening for a Postdoctoral Researcher to perform theoretical and computational research in the field of quantum computing focusing on Fusion Energy Science (FES) and quantum materials science applications. You will join an interdisciplinary team of experts in fusion energy, quantum information science, quantum materials science, and quantum computing hardware that are working to develop, implement, and demonstrate the performance of quantum algorithms relevant to FES. You will develop new quantum algorithms for FES applications, numerical simulations that characterize the performance of these algorithms, and implementations of these algorithms for cutting-edge quantum computing hardware platforms, including several state-of-the-art quantum computing hardware platforms that we have access to. This position is in the Fusion Energy Sciences Section?s Theory and Modeling group within the Physics Division. This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization. You will
Conduct research on the development of quantum algorithms for FES applications such as solvers for quantum lattice Hamiltonian models and partial differential equations.
Develop efficient quantum algorithms and simulate the performance of these algorithms on present-day quantum computing platforms.
Implement quantum algorithms on available quantum computing platforms and collect experimental results of these calculations.
Interpret and compare the results of calculations performed on quantum hardware to theoretical expectations and simulations.
Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
Collaborate with others in a multidisciplinary team environment to accomplish research goals.
Pursue independent and complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
Organize, analyze, and publish research results in peer-reviewed scientific journals and present results at conferences, workshops, seminars, and technical meetings.
Perform other duties as assigned.
Qualifications
Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
PhD in Physics or related discipline.
Experience developing and applying theoretical and computational models to the simulation of both quantum and classical physical systems and analyzing and interpreting the results of the models.
Experience developing quantum algorithms, working with quantum computing hardware platforms, and/or quantum error correction.
Ability to perform independent research and find innovative solutions to scientific and technical problems as demonstrated through publication of peer-reviewed literature.
Proficient verbal and written communication skills needed to effectively present and explain technical information.
Initiative and interpersonal skills necessary to collaborate effectively in a multi-disciplinary team environment.
Qualifications We Desire
Programming proficiency in Python, C++, Fortran, Matlab, and/or other relevant programming and scripting languages.
Knowledge of quantum compiler/transpiler languages such as circ, qiskit, QuTip, and/or T-ket.
Expertise in quantum algorithms, quantum information theory, quantum computing hardware platforms, error mitigation, and quantum error correction.
Knowledge of advanced theoretical and numerical methods for the simulation of both quantum and classical physical systems.