AMO Physicist · Remote

• Position: Physics Expert
• Type: Contract
• Compensation: $80 - $160/hour
• Location: Remote
• Commitment: 10-40 hrs/week
• Analyze and model cascaded optical parametric amplifiers and SU(1,1) interferometric systems under realistic loss mechanisms.
• Apply Bogoliubov transformations and covariance-matrix techniques to quantify quantum correlations and noise properties.
• Derive and interpret sideband photocurrent spectra utilizing homodyne detection methodologies.
• Implement and critique loss modeling via fictitious beamsplitters, ensuring robust benchmarking against theoretical and experimental scenarios.
• Utilize squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.

Role Responsibilities

• Analyze and model cascaded optical parametric amplifiers and SU(1,1) interferometric systems under realistic loss mechanisms.
• Apply Bogoliubov transformations and covariance-matrix techniques to quantify quantum correlations and noise properties.
• Derive and interpret sideband photocurrent spectra utilizing homodyne detection methodologies.
• Implement and critique loss modeling via fictitious beamsplitters, ensuring robust benchmarking against theoretical and experimental scenarios.
• Utilize squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.

Requirements

• Advanced degree (PhD or equivalent experience) in Atomic, Molecular, and Optical (AMO) Physics, Quantum Optics, or Quantum Information Science.
• Proven expertise with Bogoliubov transformations, covariance-matrix formalism, and quantum noise analysis.
• Hands-on familiarity with sideband spectra, homodyne detection, and modeling of quantum optical loss mechanisms.
• Demonstrated ability applying squeeze-parameter hyperbolic identities in practical research or experimental analysis.
• Familiarity with frontier research involving cascaded parametric amplifiers, SU(1,1) interferometry, or two-mode squeezing is highly valued.