Research Scientist, Device Theory, Quantum AI

Overview

Research Scientist, Device Theory, Quantum AI — Google Cambridge, MA;
Los Angeles, CA; +4 more

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Cambridge, MA, USA;
Los Angeles, CA, USA;
Mountain View, CA, USA;
Goleta, CA, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

• PhD in Physics, Electrical Engineering, a related engineering discipline, or equivalent practical experience.
• 3 years of experience with Quantum Computing.
• Experience with superconducting qubits.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

• Experience with Circuit Quantum Electrodynamics (QED), transmon qubits, fluxonium qubits, tunable couplers, or flux/charge noise analysis.
• Experience with collaborative software development.
• Experience collaborating with experimentalists on quantum projects.
• Understanding of two-qubit gates modeling, and qubit readout modeling.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you''ll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

You will play a critical role in modeling and understanding the performance of our superconducting qubit systems and their control electronics. You will be responsible for simulating single and two-qubit gates and readout processes, incorporating realistic environmental noise and limitations from both the quantum device and the control hardware. You will collaborate closely with hardware/electronics design and measurement teams to identify and model error sources that limit overall system performance.

Your analysis will directly inform the development of next-generation qubits and control strategies to accelerate our progress toward a large-scale, fault-tolerant quantum computer.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI''s mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

• Simulate single and two-qubit gates and readout for superconducting qubits, incorporating realistic environmental noise (e.g., thermal noise, flux noise, charge noise) and Adiabatic Quantum-Flux-Parametron (AQFP) control hardware constraints (e.g., amplitude and timing resolution, limited bandwidth, pulse distortion, crosstalk).
• Propose and analyze new gate and readout methods compatible with AQFP electronics.
• Collaborate with teams focused on design and measurement to model errors limiting Quantum Processing Unit (QPU) performance and develop improvement strategies.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

See also Google s EEO Policy and Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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