Related skills
python numpy jax scipy qutip📋 Description
- Implement algorithms to learn native Hamiltonian and noise governing qubits during parallel gate execution.
- Model the effective Hamiltonian and noise on a small multi-qubit subsystem.
- Co-design experiments to validate the model.
- Reconstruct Hamiltonian and noise from numerical simulations.
- Validate the model on the chip.
- Produce a pre-production research codebase for continued development.
🎯 Requirements
- Master or PhD candidate in quantum many-body physics, quantum information, or related field.
- Strong Python coding skills for simulating quantum many-body systems.
- Analytical rigor and ability to communicate results to cross-functional teams.
🎁 Benefits
- Flexibility to work remotely or in the Berkeley office.
- Mentors will be remote.
- 3-month summer internship with flexible start/end dates.
- Nice-to-have: quantum hardware experience.
- Nice-to-have: cross-team collaboration in theory and experiment.
- Nice-to-have: coding with numpy, scipy, QuTiP, and JAX.
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