Xanadu Residency Program

Résumé du poste

Residents will participate in a quantum computing bootcamp and work on technically challenging projects in research, education, or software. Key tasks include developing quantum algorithms, enhancing PennyLane software, and designing fault-tolerant quantum architectures.

Détails du poste

The Xanadu Residency Program is a 16-week program designed to provide graduate and undergraduate students in engineering, science, and computer science the opportunity to learn, build technical skills, conduct innovative research and contribute towards technically challenging projects. Residents will have the opportunity to be mentored and supervised by our scientists, physicists and engineers within Xanadu. This 16-week residency program will launch with a 1-week quantum computing bootcamp. Its design will: Connect you to the other residents through your shared study and experiences, as well as with Xanadu leaders through their shared excitement of delivering real scientific impact; Introduce Xanadu itself—its culture and what makes it a special place to work; and Provide a fundamental and common understanding of quantum computing (both research and applications) and Xanadu’s offerings. You will then be introduced to your supervisor and move on to your project (or projects) in the research, education and/or software realms, depending on your interests and background. You, alongside your team, will work on challenging projects such as: Characterizing the differences between quantum and classical machine learning models; Discovering more efficient quantum algorithms for quantum chemistry; Developing new software functionality for PennyLane; Compiling Gaussian subcircuits; Designing more performant architectures for fault-tolerant quantum computing; Visualizing quantum operations and states; and Designing and building interactive educational content. Candidates currently enrolled in graduate programs (Masters or PhDs) are encouraged to apply. Top candidates for all internship areas will have: Strong interest in quantum computing and quantum software; The ability to learn quickly and work on a team; Experience in an academic program related to quantum computing, physics, computer science, engineering, or other applicable area of study; and Extensive experience with scientific programming in Python (or equivalent experience in another programming language). Further, depending on the specific project, candidates will have one or more of: Coursework, research or projects in quantum information, computation, algorithms, software, or other applicable area of study (for research projects); Experience with software frameworks like NumPy, TensorFlow, PyTorch, Qiskit, Cirq, PyQuil, etc.; and Experience teaching or TA-ing (either in person or online) and experience writing code-first tutorials and educational content (for education projects). Visit our Xanadu Residency Program website for more details. Please apply by submitting your Resume and statement of interest (including which area/topics/supervisor you'd like to work with) by November 15, 2026 at 11.59pm Eastern Time (EST).

Ce que vous ferez

Residents will participate in a quantum computing bootcamp and work on technically challenging projects in research, education, or software. Key tasks include developing quantum algorithms, enhancing PennyLane software, and designing fault-tolerant quantum architectures.

Exigences

Candidates should be current undergraduate or graduate students in engineering, science, or computer science with strong Python skills. Experience in quantum information, specific software frameworks, or educational content creation is highly desired depending on the project.

Compétences indiquées

• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Quantum Computing
• Python
• Quantum Software
• Scientific Programming
• NumPy
• TensorFlow
• PyTorch
• Qiskit
• Cirq
• PyQuil
• Quantum Algorithms
• Quantum Chemistry
• Software Development
• Technical Writing
• Research
• Teaching

Domaines d’emploi

• Science & Research
• Technology
• Software
• Engineering
• Education