Quantum Algorithms Postdoc — Materials Discovery & QPU Research

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 96,000 - 111,000; Full time

Benefits offered by this job

Health and retirement benefits

Parental bonding leave

Pet insurance

Job summary

Lawrence Berkeley National Laboratory in Berkeley, CA, seeks a Quantum Algorithms Postdoctoral Fellow for the QC3 program. You will develop scalable quantum subspace methods and validate experiments on neutral atom-based QPUs.

The role emphasizes numerical linear algebra, circuit design, and error mitigation, with a strong emphasis on publishing results and collaborating across disciplines.

Qualifications

• Ph.D. in Applied Mathematics, Computer Science, Computational Chemistry, Physics, or a related field.
• Demonstrated research in quantum algorithms, ideally for chemistry or materials science.
• Strong background in numerical linear algebra, including matrix decompositions, iterative methods, and optimization.
• Experience compiling quantum algorithms and running experiments on quantum hardware.
• Proven scientific writing track record with first-author publications.
• Excellent written and oral communication skills.

Responsibilities

• Develop efficient Krylov-inspired quantum subspace methods.
• Design, compile, and optimize quantum circuits for neutral atom QPUs.
• Develop partial quantum error correction and error mitigation techniques.
• Collaborate across mathematics, CS, physics, and domain science teams.
• Disseminate findings via publications and conferences.

Skills

Quantum algorithms

Numerical linear algebra

Scientific writing

Communication skills

Education

Ph.D. in Applied Math/CS/Physics/Computational Chemistry

Tools

MATLAB

Python

Qiskit

MPI/OpenMP/CUDA

Job description

Lawrence Berkeley National Laboratory in Berkeley, CA, seeks a Quantum Algorithms Postdoctoral Fellow for the QC3 program. You will develop scalable quantum subspace methods and validate experiments on neutral atom-based QPUs.

The role emphasizes numerical linear algebra, circuit design, and error mitigation, with a strong emphasis on publishing results and collaborating across disciplines.