R. T. | Quantum Expert

Skills

Quantum Computing, Quantum information, Quantum mechanics, Quantum Control, Quantum Error Correction, Quantum Chemistry, Qiskit, Cirq, Dynamiqs, Hamiltonian and time evolution simulations, SC Qubits, Qiskit Metal, Full stack software development, React JS, AWS, RAG, Vector Databases, Langchain, LLM fine tuning

About

I’ve always been drawn to the deep connections between quantum mechanics and computation, exploring how we can harness quantum technologies to solve real-world challenges. My journey in quantum computing, AI, and business strategy has taken me across academia, industry, and entrepreneurship, allowing me to work on quantum algorithms, error correction, and hardware optimization while also contributing to quantum ecosystem growth and business development. I am particularly fascinated by Quantum AI—how machine learning can enhance quantum systems and vice versa—but my interests extend broadly across quantum chemistry, quantum control, and quantum hardware development. My work has involved building quantum applications, optimizing compilation strategies, and researching variational quantum algorithms for complex simulations. Beyond the technical aspects, I’m also passionate about shaping the quantum ecosystem, fostering industry adoption, and driving business strategies that accelerate quantum innovation. Whether it’s through software, hardware, or business development, I’m excited to contribute to the future of practical, scalable quantum computing 🚀.

Alongside my work in quantum computing, I have two years of experience as a software developer, working on cloud-based AI applications, scalable backend systems, and full-stack development. As a Quantum Research and Business Development Intern at IBM, I contributed to ecosystem expansion strategies, client engagement, and research enablement for $100M+ clients, bridging technical innovation with industry adoption. My research in quantum computing spans algorithm development, quantum chemistry simulations, and quantum control—most notably, my work on electron transfer in DNA base pairs using HPC and variational quantum algorithms at USC. I’ve also worked extensively as an AI developer, integrating machine learning models into quantum workflows, developing multi-LLM applications, and optimizing control flow in quantum circuits 🤖. These experiences have given me a unique perspective on both the technical and strategic aspects of quantum computing, allowing me to contribute effectively to both research and real-world deployment of quantum technologies. Excited for what’s ahead! ✨