AMO / Quantum Information Physicist for AI Evaluation

Role Overview

Apply advanced AMO, quantum optics, and quantum information expertise to help train next-generation AI systems through a research-focused project. The work centers on benchmarking quantum-optics concepts involving cascaded optical parametric amplifiers, SU(1, 1) interferometers, loss mechanisms, and two-mode squeezing. No prior AI experience is required, your subject-matter expertise is the focus.

Key Responsibilities

• Analyze and model cascaded optical parametric amplifiers and SU(1, 1) interferometric systems under realistic loss conditions.
• Use Bogoliubov transformations and covariance-matrix methods to assess quantum correlations and noise properties.
• Derive and interpret sideband photocurrent spectra using homodyne-detection methods.
• Implement and evaluate loss models based on fictitious beamsplitters against theoretical and experimental scenarios.
• Apply squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.
• Contribute as a Solver, Auditor, or Adjudicator, with assignments aligned to your specialization, experience, and demonstrated practical ability with the required methods.

Qualifications

• Advanced degree, PhD or equivalent experience, in Atomic, Molecular, and Optical Physics, Quantum Optics, or Quantum Information Science.
• Proven expertise in physics, Bogoliubov transformations, covariance-matrix formalism, and quantum-noise analysis.
• Hands-on familiarity with sideband photocurrent spectra, homodyne detection, and loss modeling through fictitious beamsplitters.
• Demonstrated ability to use squeeze-parameter hyperbolic identities in practical research or experimental analysis.
• Experience with cascaded parametric amplifiers, SU(1, 1) interferometry, or two-mode squeezing is highly valued.

Work Terms

• Remote independent-contractor engagement.

Compensation

• $80 to $160 per hour.