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Phd Thesis Submitted

Sakshi Rao

Scientific Writing

560087, India
7 Years
Joined Jun 2026
Iit Delhi
Physics
0 Consultations

About me

Experimental Quantum Optics Quantum Communication & Quantum Information Nonclassical and Non-Gaussian State Engineering Quantum Imaging and Ghost Imaging Optical Diagnostics and Experimental Troubleshooting Laser Alignment, Beam Shaping, and Mode Matching, Data Analysis and Numerical Modelling (MATLAB, Mathematica, Python) Scientific Writing and Research Publication Research Mentoring and Laboratory Instruction Experimental Design, Optimisation, and Uncertainty Analysis

Interests: • Nonclassical and Non-Gaussian State Engineering: Generation and characterization of photon-added, photon-subtracted, and multiphoton non-Gaussian states using partially coherent pump fields; extending these protocols toward integrated photonic platforms and roomtemperature quantum optical devices. • Entangled Photon Sources and Quantum Communication: SPDC-based polarization and spatial-mode entanglement with controlled coherence; coherence-induced entanglement recovery over lossy channels; device-independent QKD and long-distance quantum communication using 2 partially coherent photonic qubits. • Continuous-Variable Quantum Optics: Squeezed state generation and characterization via homodyne detection; Gaussian and non-Gaussian resource states for continuous-variable quantum computing, quantum error correction, and photonic quantum reservoir computing. • Quantum Sensing and Metrology: Entanglement- and squeezing-enhanced sensing beyond the standard quantum limit; coherence-engineered probes for precision interferometry, quantum LIDAR, and quantum gyroscopy. • Quantum and Ghost Imaging: Nonlocal double-slit and coherence-assisted imaging with partially coherent entangled qubits; EMCCD-based biphoton imaging; extending ghost imaging schemes toward quantum-enhanced resolution and low-light biological imaging. • Integrated Quantum Photonics: On-chip nonclassical light generation using silicon nitride and thin-film lithium niobate platforms; programmable photonic quantum circuits for boson sampling, Gaussian boson sampling, and scalable photon-based quantum information processing.

Skills

PythonC++

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