Sanjay Gaddam

Researcher

Hyderabad, Telangana, India6 mos experience

Key Highlights

Strong interest in quantum algorithms and solutions.
Experience in advanced quantum error correction techniques.
Proficient in machine learning applications for quantum technology.

Stackforce AI infers this person is a Quantum Technology enthusiast with a focus on research and machine learning applications.

Contact

Skills

Core Skills

Quantum Error CorrectionMachine LearningData Management

Other Skills

PythonNeural NetworksPyTorchSQLMicrosoft ExcelResearch SkillsPresentation SkillsLaTeXPhysics SimulationTeam ManagementSimulinkReport WritingEnglishEngineeringCommunication

About

While I do have a Bachelor's degree in Electrical and Electronics Engineering, I have decided to shift my vocation to Quantum Technology because of my interest in physics. This field resonates with my enthusiasm for the subject. I am interested in research, and I believe that the evolving landscape of quantum technology demands extensive exploration and innovation. I have a strong interest in investigating quantum algorithms and cooking up quantum technological solutions to address challenges in physics and chemistry. Hardware is something which I would like to explore further in my career.

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Ibm

Research Intern

May 2024 – Aug 2024 · 3 mos · Bengaluru, Karnataka, India · On-site

1) Conducted research on Quantum Low-Density Parity Check (QLDPC) codes, specifically the Gross code, highlighting advanced quantum error correction techniques and their implementation in quantum computing.
2) Tried to improve upon a machine learning decoder for quantum error correction (gross code) using a neural network to improve real-time decoding efficiency and speed, overcoming the limitations of traditional lookup table methods in syndrome decoding.
3) Utilized Python and the PyTorch library to build and train neural network models, implementing
hyperparameter tuning for optimal performance in machine learning tasks related to quantum error
correction.
4) Collaborated with researchers from IBM Quantum India team in exploring innovative machine
learning approaches to quantum error correction.

Quantum Error CorrectionPythonMachine LearningNeural NetworksPyTorch

Axis my india

Graduate Engineering Trainee

Sep 2021 – Apr 2022 · 7 mos · Mumbai, Maharashtra, India · On-site

1) Managed respondent data for the Indian Sentiment Tracker, facilitating Computer Assisted Telephonic
Interviews (CATI) to achieve optimal results.
2) Contributed to the Consumer Trust Index by assisting in the sampling plan and maintaining data for 737 districts across India, enhancing project efficiency.
3) Designed a process plan for the Data Profile Project to streamline the management of large datasets, ensuring timely and cost-effective project completion.
4) Handled AMI application data from in-house servers using SQL for effective data tracking and
statistical reporting.

Data ManagementSQLMicrosoft Excel