Backed by Amadeus Capital Partners.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Develop algorithms, simulations or architectural models to evaluate potential approaches
- Investigate methods for reducing the compute, communication, memory, latency or power requirements associated with QEC
- Explore trade-offs between decoding performance, logical error suppression and classical resource requirements
- Collaborate with quantum scientists and engineers working across QEC theory, decoding, software and hardware
- Analyse results and communicate your findings through technical discussions, presentations and written reports
- Produce clear, reproducible research code and supporting documentation
More about this role
Boston, US | Full-time | Fixed-term| Hybrid
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...
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