The physics team at Google AI Quantum is looking to hire a Quantum Research Scientist with expertise in NISQ quantum algorithms and system benchmarking/calibration. The candidate is expected to solve technical bottlenecks creatively with deep knowledge in physics and quantum computing as well as engineering skills.
You will work closely with the hardware team to design novel multi-qubit quantum metrology and control tools and then apply them to Google’s superconducting quantum processors
You will pursue a bottom-up approach to NISQ applications, i.e., understand our quantum hardware, learn how to calibrate many-qubit systems, mitigate coherent and incoherent errors, and run simulations/algorithms on the quantum hardware.
You will work on physics based methods for better and faster benchmarking/calibrating large-scale quantum circuits, estimation of the error budgets for NISQ algorithms, and physical based methods for error mitigation.
You will publish research results in external peer-reviewed scientific journals, present your results in international conferences, and mentor interns and postdoctoral researchers.
You will join a dynamic, passionate, and diverse team located in Venice, CA just two blocks away from the beach, enjoying the nice weather and the diverse culture in Southern California.
Applications should include a CV and at least three references (sent to email@example.com).
Application deadline: Until the position is filled (early application is encouraged)
Start date: ideally around June 2020
PhD in physics, chemistry, or electrical engineering
Proficient with Python
Experience in signal processing and data analysis techniques
Knowledge of superconducting qubits
Passionate about implementing ideas on real quantum devices
Located in or willing to relocate to work in Los Angeles or Santa Barbara, CA
Experience in Cirq and quantum circuit compilation
Proficient with Mathematica
Familiarity with condensed matter physics and superconducting qubits
Employer will assist with relocation costs.
Google AI Quantum is advancing quantum computing by developing quantum processors and novel quantum algorithms to help researchers and developers solve near-term problems both theoretical and practical.
We think quantum computing will help us develop the innovations of tomorrow, including AI. That’s why we’re committed to building dedicated quantum hardware and software today.
Quantum computing is a new paradigm that will play a big role in accelerating tasks for AI. We want to offer researchers and developers access to open source frameworks and computing power that can operate beyond classical capabilities.
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