micro1 is engaging Physics Experts (AMO / Quantum Information) to contribute to a cutting-edge research-focused project in collaboration with a customer.
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
This opportunity centers on benchmarking advanced concepts in quantum optics, focusing on cascaded optical parametric amplifiers, SU(1,1) interferometers, and the effects of loss and two-mode squeezing. Contributors may participate as Solvers, Auditors, or Adjudicators, with assignments tailored to subfield specialization, experience, and demonstrated hands-on ability using the specified methods.
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.
Preferred skills
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.
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Hiring companyMicro1
