Research Scientist, Quantum Control at Q-CTRL – Los Angeles

Research Scientist, Quantum Control at Q-CTRL – Los Angeles

About us Founded in 2017, Q-CTRL has grown to become the global leader in quantum. We’re using control to solve the hardest problems facing quantum technology, improving hardware performance and accelerating pathways to useful quantum computers and other technologies. As a product‑led company, we bring together diverse teams such as product, design, engineering and research to help achieve our mission of making quantum technology useful.

Join us to help shape the quantum future.
As one of the fastest growing companies in the quantum sector, we’ve had a number of key milestones:
– In November 2023, we announced an industry‑first partnership with IBM Quantum Services, natively integrating our performance management software with all IBM quantum computers. Building off of this relationship, in September 2024 we started offering two services via IBM’s new Qiskit Functions Catalog as an inaugural partner.
– Designed and moved our Global HQ offices and lab space into the first purpose‑built (and award‑winning) commercial and facility for a quantum technology company in Australia.
– Continued to deliver real world outcomes across the quantum sectors, with our work with Australian Defence on software‑ruggedized quantum sensing for navigation without GPS, as featured in the New York Times.
– In October 2024, we announced our record‑breaking expansion of our Series B funding round to USD $113M, with $59M USD of new capital.
– Grew our global presence to include Los Angeles, Berlin, and Oxford – as well as the recently announced office in San Francisco.
From educating the workforce on how quantum computing works, to building the next generation of quantum sensors, to delivering massive performance gains for end‑users, it all starts with hiring the right talent. If you want to help us build the Quantum future, read on.

About us We are seeking a new Research Scientist / Senior Research Scientist to focus on error suppression in quantum circuits. You will work within a team of researchers dedicated to developing innovative new methods to get the best possible performance of near‑term quantum computing hardware. A major focus of our research team is robust execution of quantum algorithms on real hardware;

for example, by hardware‑aware compilation, embedding dynamical decoupling, and pulse‑level and gate‑level quantum control techniques. In this role, you will collaborate regularly with engineering and project teams to implement your ideas into our software products, and to apply your insights to a variety of quantum computing hardware platforms, and to implementations of specific quantum algorithms and applications. This position offers the opportunity to work at the forefront of quantum computing, driving innovation, and delivering impactful solutions.
As a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q‑CTRL product suite.

• Develop efficient and reliable methods and tools that solve challenges facing real quantum computers.
• Stay informed about the latest advances in quantum computing and quantum control, and leverage this knowledge to implement and refine cutting‑edge methodologies.
• Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
• Create code for optimizing quantum algorithms, near‑term quantum applications, and quantum error correction schemes.
• Collaborate with engineering teams to translate your ideas into production‑quality software.
• Engage with users to gather feedback and enhance our products.
• Explain and present your work in clear and accessible language. Incorporate feedback and foster effective collaboration with colleagues.
• Write articles for publication in peer‑reviewed journals, attend and present your work at conferences, and collaborate with other industrial and academic research groups.
• Use open‑source scientific computing packages like Qiskit, Num Py, Networkx, Scipy, Scikit‑learn, and PyTorch to build high‑quality research code to develop, demonstrate, and test new…