Quantum Reinforcement Learning Internship

Job Description: Quantum Reinforcement Learning Internship for two months (Hybrid)
Position Type: Internship
Duration: Two months
Application Deadline: 30th Oct 2024

About Us: Egreen Quanta is integrating quantum computing solutions to improve logistics and transportation efficiency, aiming to redefine the future of quantum applications.

Position Overview: A Quantum Reinforcement Learning Intern is needed to develop and implement quantum algorithms for routing problems, contributing to cutting-edge quantum computing research and logistics sector projects.

Key Responsibilities:

1. Collaborate with the research team to develop quantum reinforcement learning algorithms tailored for routing optimization.
2. Assist in modelling complex routing environments and defining the states, actions, and rewards.
3. Implement and test quantum algorithms, comparing their performance against classical methods.
4. Analyze results and contribute to the refinement of algorithms based on performance metrics.
5. Participate in team meetings and present findings, insights, and progress on projects.
6. Conduct literature reviews to stay updated on the latest advancements in quantum computing and reinforcement learning.

Qualifications:

1. Currently pursuing a degree in Computer Science, Quantum Computing, Mathematics, or a related field.
2. Basic understanding of quantum computing principles and reinforcement learning concepts.
3. Proficiency in programming languages such as Python.
4. Familiarity with quantum programming frameworks (e.g., Qiskit, Cirq) is a plus.
5. Strong analytical and problem-solving skills.

How to Apply: Interested candidates should submit their resume with a brief cover letter outlining their interest in quantum computing and relevant experience.

Join us at Egreen Quanta and be part of a team that is shaping the future of logistics through quantum innovation!

Apply:👉 https://egreenquanta.com/career/