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Riverlane is seeking a PhD intern to explore quantum error correction through simulations and architecture studies. You will frame and run QEC experiments, study decoding methods, and model classical resources within fault-tolerant quantum programs.
Work alongside Riverlane’s scientists in Cambridge, MA, with a supervisor guiding your project. You will help push the boundaries of QEC research, develop reproducible code, and present findings through technical discussions and reports.
Boston, US | Full-time | Fixed-term| Hybrid
Salary: $55.70 per hour, DOE
Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in materials and climate science to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent, and passion.
Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.
Delivering practical quantum error correction requires tightly integrated quantum and classical systems. The quantum hardware connectivity, its physical error rates, circuit compilation and compatible QEC codes all affect performance. On the classical side, decoding algorithms must process large volumes of error data within demanding latency, bandwidth, compute, and power constraints.
As a Research Intern, you will investigate simulating, running and decoding QEC experiments. Along with your supervisor, you will frame a research project. Your project will sit at the intersection of quantum error correction, computer simulations, computer architecture and hardware-software co-design.
Depending on the project, you could study noise models for quantum hardware, work on efficient simulations for QEC experiments, explore efficient QEC decoding or predecoding methods, model the classical resources required by fault-tolerant quantum programs, or investigate how decoding workloads can be distributed across different levels of a computing system.
You will work alongside Riverlane’s quantum scientists and engineers in Cambridge, Massachusetts, with support from a dedicated supervisor. Your work will contribute to our understanding of how QEC systems can meet the performance requirements of increasingly large quantum computers.
We will reimburse reasonable expenses incurred as part of your role, such as approved travel to meetings or conferences. We are unable to cover the cost of travelling to Cambridge, Massachusetts at the beginning or end of the internship or accommodation during the internship.
You can expect a diverse and collaborative working environment that brings together experts in software and hardware development, quantum information theory, physics, mathematics and other technical fields. Our global team represents more than 20 nationalities.
We also provide free snacks and refreshments and organize regular social and cultural events.
If you have any questions, please contact jobs@riverlane.com.
Riverlane is an equal opportunity employer. We welcome qualified applicants and consider them for employment without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state or local law.
We know that strong candidates may not meet every requirement listed. If you are interested in the opportunity and believe your experience could be relevant, we encourage you to apply.
Riverlane provides reasonable accommodations to applicants with disabilities. If you require an accommodation during the application or interview process, please let us know. We will be happy to help.