Research Aide-Crabtree - MCS - Shawish, Yusif - 3.11.26.
About The Position
The summer internship project would explore using an AlphaEvolve-style algorithm discovery framework to automatically design quantum simulation circuits that jointly minimize algorithmic and gate synthesis errors. The intern would build a search system that generates candidate Hamiltonian simulation circuits (for example different product formulas, Pauli term orderings, or commutator corrections) and evaluates them with a combined objective that includes Trotter approximation error, rotation synthesis error, and circuit cost such as T count or two-qubit gate count. Starting from standard baselines such as first- and second-order Trotter formulas, the system would iteratively mutate circuit structures and coefficients and keep candidates that reduce the total error-cost metric. This project would give the student experience in quantum simulation, compiler optimization, and algorithm search, and could lead to new heuristics or circuit templates for error-aware quantum simulation. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Currently enrolled in undergraduate or graduate studies at an accredited institution.
- Graduated from an accredited institution within the past 3 months; or
- Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
- Must complete a satisfactory background check.
Responsibilities
- Build a search system that generates candidate Hamiltonian simulation circuits
- Evaluate circuits with a combined objective that includes Trotter approximation error, rotation synthesis error, and circuit cost
- Iteratively mutate circuit structures and coefficients and keep candidates that reduce the total error-cost metric
Benefits
- comprehensive benefits are part of the total rewards package.
- Click here to view Argonne employee benefits!
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
