Postdoctoral Researcher: Quantum Algorithm Engineering Hamiltonian Simulation

What You Will Do

The Information Sciences Group (CAI-3) in the Computing and Artificial Intelligence Division at Los Alamos National Laboratory is seeking outstanding candidates for a postdoctoral research associate position at the intersection of quantum computing, quantum algorithms, and quantum machine learning with a focus on the simulation of many-body quantum systems through Hamiltonian simulation and optimization problems.

Successful candidates will join a multidisciplinary team advancing quantum simulations by combining theoretical and computational methods. A central goal is to develop novel analytical tools and new workflows to leverage existing AI tools to analyze and optimize quantum algorithms for fault‑tolerant quantum computers. The postdoctoral researcher will also explore the development of new quantum algorithms and discover new quantum computing use cases.

• A Ph.D. in Computer Sciences, Mathematics, Materials Science, or related physical sciences, completed within the last 5 years.
• Programming and simulation experience (Python, Julia, etc.)
• Demonstrated experience in conducting original scientific research through peer‑reviewed publication records.
• Excellent communication and writing skills.

• Solid background in quantum algorithms, quantum computation, quantum information, and quantum communication.
• Demonstrated experience in quantum simulation techniques (preferably with tensor networks but other methods such as Monte Carlo, Pauli Propagation, etc. are welcome).
• Experience with fault‑tolerant quantum simulations of many‑body systems.
• Experience with High Performance Computing (HPC) or GPU programming.
• The ability to work creatively and independently as well as learn and collaborate with experts as part of a diverse multi‑disciplinary team.
• Hands‑on experience running experiments on cloud‑based quantum devices.
• Ability to adapt to new requirements for projects and be flexible enough to learn new concepts.

Outstanding candidates may be considered for a Director's Fellowship and for the prestigious Darleane Hoffman, Richard P. Feynman, or J. Robert Oppenheimer Fellowships.

Work Location:

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

• The appointment is for a duration of two years, with the possibility of a third‑year extension based on performance evaluation.
• Candidates may be considered for a fellowship supported by the Center for Nonlinear Studies (CNLS). Outstanding candidates may also be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
• For more information about the Postdoc Program, please go to https://(Use the "Apply for this Job" box below).-research

• Stephan Eidenbenz (eidenben)

Competitive salaries are based on the date the Ph.D. degree requirements were completed, or the degree was awarded. Starting salary for a fresh Ph.D. is currently $97,000. For more information, go to the Postdoc Program website at https://.php

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China (including the special administrative regions of Hong Kong and Macau) and citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders), are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

• PPO or High Deductible medical insurance with the same large…