Quantum Algorithm Engineering for Hamiltonian Simulation (Scientist 2)

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 120,000 - 170,000; Full time

Job summary

Los Alamos National Laboratory is seeking outstanding candidates to join the CAI Division for research in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning.

The role focuses on advancing quantum simulation using theoretical and computational methods and on developing AI-driven workflows to optimize quantum algorithms for fault-tolerant quantum computers.

Qualifications

• Demonstrated expertise in quantum algorithms and quantum computation, especially Hamiltonian simulation.
• Strong programming and simulation experience (Python, Julia).
• Experience with HPC or GPU programming.
• Familiarity with Quantum Computing software stacks (QISKIT, PennyLane, cuda-q).
• Experience with AI methods relevant to quantum algorithm design and analysis such as LLM/transformer techniques.

Responsibilities

• Conduct original research to advance quantum simulation in theory and computation.
• Develop analytical tools and workflows leveraging AI to optimize quantum algorithms for fault-tolerant quantum computers.
• Explore Hamiltonian simulation as the central paradigm across projects.

Skills

Quantum algorithms

Programming & simulation

HPC / GPU programming

Quantum software stacks

AI for quantum design

Tools

QISKIT

PennyLane

cuda-q

Python

Julia

Job description

What You Will Do

This position is open for external candidates only to apply. The Computing and Artificial Intelligence (CAI) Division at Los Alamos National Laboratory (LANL) seeks outstanding candidates to join our vibrant multidisciplinary research team that explores topics in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning. Successful candidates will conduct original research that advances the state-of-the-art in quantum simulation through both theoretical and computational activities. A central goal for this work will be to develop novel analytical tools and new workflows that leverage AI tools and methods to analyze and optimize quantum algorithms for fault-tolerant quantum computers. Hamiltonian Simulation will be the central quantum computing paradigm for most of this work, which will require flexibility to learn new concepts from quantum computing application domains.

What You Will DoThis position is open for external candidates only to apply. The Computing and Artificial Intelligence (CAI) Division at Los Alamos National Laboratory (LANL) seeks outstanding candidates to join our vibrant multidisciplinary research team that explores topics in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning. Successful candidates will conduct original research that advances the state-of-the-art in quantum simulation through both theoretical and computational activities. A central goal for this work will be to develop novel analytical tools and new workflows that leverage AI tools and methods to analyze and optimize quantum algorithms for fault-tolerant quantum computers. Hamiltonian Simulation will be the central quantum computing paradigm for most of this work, which will require flexibility to learn new concepts from quantum computing application domains.

What You Need

Minimum Job Requirements:

• Demonstrated expertise in the fields of quantum algorithms and quantum computation, particularly in Hamiltonian simulation techniques.
• Strong programming and simulation experience (e.g., Python, Julia, etc.).
• Experience with High Performance Computing (HPC) or GPU programming.
• Familiarity with Quantum Computing software stacks and tools (e.g., QISKIT, PennyLane, cuda-q).
• Experience with methods relevant to the AI and Quantum Computing nexus, such as LLM and transformer-based techniques for quantum algorithm design and analysis (