Senior Quantum Control Engineer- Quantum Algorithms and Compilation at Q-CTRL

Engineering, Full-Time / Permanent, Sydney, NSW sydney engineering full-time
Posted 3 months ago
About us
Quantum technology is likely to be as transformational in the 21st century as harnessing electricity was in the 19th. Quantum computing in particular promises to completely disrupt the way we process information - transforming previously uncomputable problems into manageable ones.

If you build or use quantum hardware, Q-CTRL provides the critical enabling software and professional services to help you achieve maximum performance.  We empower our customers to realise the true potential of quantum tech, combining modern product design and engineering with state-of-the-art quantum control engineering techniques. Our ambition is to be the trusted provider of quantum control solutions across all applications of quantum tech.

We’re a venture-capital backed company with Tier-1 investors including Sequoia Capital, DCVC, Sierra Ventures, and InQTel.   Q-CTRL operates offices in the US and Australia, but is currently supporting remote work within these jurisdictions due to COVID19.

About the role
Supported by the largest team of quantum control and machine learning experts in the world - already assembled at Q-CTRL -  you will determine how to improve the performance of quantum algorithms relevant to real-world problems of commercial interest such as QAOA and VQE. As an algorithms and compilation specialist, you will seek to leverage Q-CTRL capabilities in quantum control and error suppression in order to achieve maximum performance when algorithms are run on real quantum hardware subject to noise and errors.  

Responsibilities will include creating novel approaches to the incorporation of error mitigation in quantum algorithms, understanding the application of quantum algorithms to end-users, interacting with high-level abstractions for algorithm development and compilation, and evaluating performance through numerical simulation and experiment on partner hardware. You’ll aim to make quantum algorithms perform on real hardware the way they do in simulation by addressing the biggest challenges in the field.