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Americas, United States, Los Ángeles

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Posted 210 days ago

Research Scientist, Quantum Control

🏢 Q-CTRL

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Role Type

🧪 Scientist / Researcher

Role Focus

🛠️ Advance Science

Seniority

🌿 Experienced

🌸 PhD / Postdoc

🌳 Senior / Lead

Employer Type

🏢 Industry

This Research Scientist role focuses on improving quantum computer performance by suppressing errors in quantum circuits. The scientist will develop new methods for robust execution of quantum algorithms on hardware. They will collaborate with engineering teams to integrate their ideas into software products and apply insights to various quantum computing platforms. This position aims to drive innovation and deliver impactful solutions in quantum computing.

Key Responsibilities

Develop efficient methods and tools to solve challenges in real quantum computers.

Stay updated on quantum computing and control advances to implement cutting-edge methodologies.

Create code to optimize quantum algorithms, applications, and error correction schemes.

Collaborate with engineering teams to integrate research ideas into production software.

Present and publish research findings in journals and conferences, and collaborate with other research groups.

Use open-source scientific computing packages to build high-quality research code.

Required Skills

Advanced degree (PhD preferred) in Physics, Engineering, Mathematics, Computer Science, or related field.

Expertise in quantum computing, especially quantum control theory and/or error suppression.

Proven track record of impactful research through publications or presentations.

Software development experience for scientific experiments using Python, Julia, Matlab, or Mathematica.

Nice-to-have Skills

Experience with high-performance languages such as Rust, C++, or Julia.

Experience with GPUs, TPUs, and other forms of hardware-accelerated computing.

Strong background in control theory, optimization, machine learning, or data analysis.

Familiarity with quantum error suppression techniques like dynamical decoupling or zero-noise extrapolation.

Familiarity with executing circuits in Qiskit.

Exceptional scientific communication skills.

Technology Tags

Control Tech

The job title is "Research Scientist, Quantum Control" and the description repeatedly emphasizes control techniques.

Error correction

The role focuses on "error suppression in quantum circuits" and developing "quantum error correction schemes."

Pulse-level control

The job description explicitly states "pulse-level and gate-level quantum control techniques" as a major focus.

Quantum Hardware

The role involves applying control insights to "a variety of quantum computing hardware platforms," including those from IBM.

Classical programming

The role requires developing software solutions using various classical programming languages like Python and Julia.

ML approaches

The job explicitly lists "machine learning" as a methodology to be utilized for solving quantum challenges.

Optimisation

The role explicitly involves using "optimization" methods and "optimizing quantum algorithms."

Source Job Description

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 research 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.

What you'll be doing:

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, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods.

Ideally you'll have:

An advanced degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline. A PhD is preferred, but we will also consider exceptional individuals with previous industry experience.

Expertise in quantum computing. Specifically, for this role we would like to see a background and interest in quantum control theory, and/or error suppression in quantum systems or circuits.

A track record of conducting impactful research, demonstrated through publications and/or presentations in well-regarded journals and/or conferences.

Experience in developing software for scientific experiments using one of the commonly-used languages such as Python, Julia, Matlab, or Mathematica (our team primarily uses Python).

It would be fantastic if you have these skills/experience but not essential:

Experience with high-performance languages such as Rust, C++, or Julia.

Experience with GPUs, TPUs, and other forms of hardware-accelerated computing.

A strong background in relevant methods from fields such as control theory, optimization, machine learning, or data analysis.

Familiarity with error suppression techniques used in quantum computing, such as dynamical decoupling, readout mitigation, zero-noise extrapolation, Pauli twirling, or pulse-level optimization.

Familiarity with executing circuits in Qiskit.

Exceptional scientific communication skills, evidenced by a track-record of teaching, scientific outreach, writing, producing elegant figures and visualizations, and/or speaking in front of both general and expert audiences.

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