Lawrence Berkeley National Laboratory
Postdoctoral Scholar — Quantum Benchmarking & Simulation (AQT/NERSC)
Lawrence Berkeley National Laboratory, San Francisco, California, United States, 94199
Postdoctoral Scholar — Quantum Benchmarking & Simulation (AQT/NERSC)
Lawrence Berkeley National Lab’s (Berkeley Lab) Applied Math and Computational Research Division (AMCR) has an opening in the QuIST (Quantum Information Science and Technology) Group for a Post-doctoral Scholar to advance the validation of quantum computers operating in the
classical-hardness
regime. You will design and execute
state-of-the-art experiments
on superconducting quantum processors, lead
large-scale benchmarking
across the full stack, and develop
scalable classical simulations
(e.g.,
tensor networks )—including performance bounds beyond brute-force classical simulability. Responsibilities: Lead
large-scale benchmarking
of full-stack quantum processing units (QPUs). Develop and validate
performance bounds
for QPUs beyond brute-force classical simulability. Design and conduct experiments
on contemporary quantum hardware platforms (e.g., superconducting quantum processors). Validate, analyze, and interpret
experimental data and results. Simulate
the performance of quantum circuits on classical supercomputers. Design and optimize
classical simulation algorithms for quantum circuits. Explore
approximate classical simulation
algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish
scientific papers and
present
results to diverse audiences. Requirements: Ph.D. in
Physics, Applied Physics, Electrical Engineering, Computer Science , or a related field. Demonstrated experience
independently planning and completing projects . Hands-on experience with
state-of-the-art experiments
on contemporary quantum hardware platforms. Experience with
numerical algorithms
(e.g.,
tensor networks ) for simulating quantum computer performance. Relevant publication record
and clear, effective written/oral communication of scientific results. Knowledge of quantum information science
relevant to the responsibilities above. Proven ability to
work effectively in cross-functional teams
(engineers, scientific staff, technicians, students). Ability to prepare
periodic written and oral updates
for internal/external reviews or reports. Proficiency with
Python-based scientific programming
tools. Desired Qualifications: Knowledge of
superconducting qubits
and device physics. Experience with
gate calibration
on superconducting QPUs. Knowledge of
noise and error sources
in superconducting systems. Familiarity with
benchmarking and characterization
methods for quantum computers. Experience with
tensor network
methods and other scalable approximations. Experience running
large-scale computations on supercomputers
(e.g., SLURM job scripts, GPU acceleration, MPI communication). This is a full-time, 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism.
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Lawrence Berkeley National Lab’s (Berkeley Lab) Applied Math and Computational Research Division (AMCR) has an opening in the QuIST (Quantum Information Science and Technology) Group for a Post-doctoral Scholar to advance the validation of quantum computers operating in the
classical-hardness
regime. You will design and execute
state-of-the-art experiments
on superconducting quantum processors, lead
large-scale benchmarking
across the full stack, and develop
scalable classical simulations
(e.g.,
tensor networks )—including performance bounds beyond brute-force classical simulability. Responsibilities: Lead
large-scale benchmarking
of full-stack quantum processing units (QPUs). Develop and validate
performance bounds
for QPUs beyond brute-force classical simulability. Design and conduct experiments
on contemporary quantum hardware platforms (e.g., superconducting quantum processors). Validate, analyze, and interpret
experimental data and results. Simulate
the performance of quantum circuits on classical supercomputers. Design and optimize
classical simulation algorithms for quantum circuits. Explore
approximate classical simulation
algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish
scientific papers and
present
results to diverse audiences. Requirements: Ph.D. in
Physics, Applied Physics, Electrical Engineering, Computer Science , or a related field. Demonstrated experience
independently planning and completing projects . Hands-on experience with
state-of-the-art experiments
on contemporary quantum hardware platforms. Experience with
numerical algorithms
(e.g.,
tensor networks ) for simulating quantum computer performance. Relevant publication record
and clear, effective written/oral communication of scientific results. Knowledge of quantum information science
relevant to the responsibilities above. Proven ability to
work effectively in cross-functional teams
(engineers, scientific staff, technicians, students). Ability to prepare
periodic written and oral updates
for internal/external reviews or reports. Proficiency with
Python-based scientific programming
tools. Desired Qualifications: Knowledge of
superconducting qubits
and device physics. Experience with
gate calibration
on superconducting QPUs. Knowledge of
noise and error sources
in superconducting systems. Familiarity with
benchmarking and characterization
methods for quantum computers. Experience with
tensor network
methods and other scalable approximations. Experience running
large-scale computations on supercomputers
(e.g., SLURM job scripts, GPU acceleration, MPI communication). This is a full-time, 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism.
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