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👋 Hi, I’m Soham Bopardikar
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👀 Research Interests: Quantum Computing, High Performance Computing, Speech processing.
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🌱 I’m currently working as a:-
➡️ AI & Quantum Research Intern at St. Jude Children's Research Hospital
➡️ Qiskit Advocate at IBM Quantum
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💞️ An active open source contributor.
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📫 Reach me via Mail - bopardikar.so@northeastern.edu
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⚡ Thought - Do what you love!
Highlights
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quantum-ai-for-cardiac-imaging/cardiomegaly-chest-x-ray
quantum-ai-for-cardiac-imaging/cardiomegaly-chest-x-ray Publichybrid classical-quantum transfer learning for cardiomegaly detection on chest x-rays
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pyqubo-qiskit
pyqubo-qiskit PublicCreating a pyqubo-qiskit plugin for QIskit optimization problems
Python 1
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logical-circuit-benchmarks
logical-circuit-benchmarks PublicA comparative benchmarking study of logical error rates and circuit overhead across three Clifford circuits of increasing complexity — memory, Bell state, and GHZ state — implemented on the Steane …
Python
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qre-algorithm-scaling
qre-algorithm-scaling PublicA systematic quantum resource estimation (QRE) study across four algorithm families using the Microsoft Azure Quantum Resource Estimator. Circuits are implemented in Q#, with resource analysis acro…
Q#
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Bell_Pepper_Leaf_Disease_Quantum_Classifier
Bell_Pepper_Leaf_Disease_Quantum_Classifier PublicDeveloped a Quantum Transfer Deep Learning Model to detect whether a bell pepper leaf image is diseased or healthy and deployed it using Docker and Streamlit.
Jupyter Notebook 1
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