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United States, Cambridge

Posted 6 days ago

Research Scientist, Device Theory, Quantum AI

🏢 Google

USD 141K - 202K per year

+3 benefits
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Role Type

🧪 Scientist / Researcher

Role Focus

🛠️ Advance Science

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

🏢 Industry

This Research Scientist role focuses on device theory within Quantum AI, specifically modeling and analyzing superconducting qubit systems. The main tasks involve simulating quantum gates and readout processes while accounting for environmental noise and control hardware limitations. The scientist will collaborate with hardware and measurement teams to pinpoint error sources, driving the development of next-generation qubits and control strategies crucial for achieving a large-scale, fault-tolerant quantum computer.

Key Responsibilities

Simulate single and two-qubit gates and readout for superconducting qubits, incorporating environmental noise and control hardware constraints.

Propose and analyze novel gate and readout methods compatible with AQFP electronics.

Collaborate with hardware design and measurement teams to model errors limiting Quantum Processing Unit (QPU) performance.

Develop improvement strategies based on error modeling to enhance QPU performance.

Required Skills

PhD in Physics, Electrical Engineering, or a related engineering discipline.

3 years of experience with Quantum Computing.

Experience with superconducting qubits.

Record of scientific publication submissions for conferences, journals, or public repositories.

Nice-to-have Skills

Experience with Circuit Quantum Electrodynamics (QED).

Experience with 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.

Technology Tags

Superconducting Circuits

The job explicitly requires modeling and understanding the performance of superconducting qubit systems.

Device modelling

The role is focused on device theory, simulating qubit performance, and modeling errors.

Qubits & gates

A primary responsibility is simulating the performance of single and two-qubit gates.

Circuit QED

Experience with Circuit Quantum Electrodynamics is listed as a preferred qualification for device modeling.

Noise analysis

The job requires incorporating and analyzing realistic environmental noise, such as flux and charge noise.

Pulse-Level Control

The scientist must simulate gates compatible with AQFP electronics and incorporate control hardware limitations like amplitude and timing resolution.

Fault-tolerant

The analysis and strategies developed aim to accelerate progress toward a large-scale, fault-tolerant quantum computer.

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