Graduate Summer Intern – Quantum Reservoir Computing

Job Description

Graduate Summer Intern – Quantum Reservoir Computing | National Laboratory of the Rockies (NLR)

The Tone:
This is a fixed-term internship at the National Laboratory of the Rockies (NLR), located in Golden, CO. NLR is the nation’s primary laboratory for energy systems research and development, accelerating energy innovation through breakthrough research and systems integration. The lab is committed to an affordable and secure energy future, focusing on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. This role is crucial for exploring the limits of quantum reservoir computing and applying novel modalities to pressing applied problems in power systems modeling, simulation, and control, with the ultimate goal of identifying and leveraging fundamentally superior quantum algorithms.

The TL;DR
• Role: Intern
• Type: Full-time (Fixed Term)
• Location: Golden, CO (In-person)
• Pay: $44500–$71200 yearly
• Team: AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC)
• Mission: Develop and apply quantum reservoir computing algorithms for power systems analysis and optimization to determine quantum advantage.
• Tech Stack: qiskit, cirq, CUDA-Q

What You’ll Actually Do
• Algorithm Development: Assist in developing quantum reservoir computing algorithms.
• Capability Assessment: Assess quantum reservoir computing capabilities and opportunities for relevant power systems analysis challenges.
• Implementation: Implement quantum reservoir circuits and algorithms in quantum emulators on NLR HPC resources.
• Modeling & Analysis: Use implemented algorithms to model ARIES-related data and devices, and analyze/predict properties of advanced power systems.
• Collaboration & Studies: Collaborate with CSC and ARIES staff to formulate and carry out QRC-based power systems studies.

The Must-Haves
• Background: Minimum 3.0 cumulative GPA. Must be enrolled as a full-time student in a master’s or PhD degree program, or have earned a bachelor’s or master’s degree within the past 12 months, from an accredited institution. This role specifically requires a strong technical background with an interest in Quantum Reservoir Computing.
• Experience: Demonstrated experience with both the theory and practice of reservoir computing. Proven knowledge of quantum computing concepts. Practical experience programming quantum circuits and algorithms in relevant frameworks.
• Skills: Excellent written and verbal communication skills for collaborating with staff and assisting in technical paper preparation. Ability to implement quantum reservoir circuits and algorithms using qiskit, cirq, and/or CUDA-Q.
• Bonus: Experience with power systems, including an understanding of technical challenges due to a changing grid and their modeling/analysis. Deep theoretical knowledge of reservoir computing. A nuanced understanding of quantum computing to discern genuine potential for quantum advantage. Prior experience with classical neural network architectures and training.