Top 109 quantum algorithm algorithms quantum algorithm quantum algorithm qubit Jobs

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Research Scientist, Quantum Error Correction, Quantum AI

Google -
Goleta, CA

Apply Now

Job Details

Full-time
$147,000 - $211,000 a year

Qualifications

Academic research projects
Scientific publications
Publishing papers in peer-reviewed journals

Full Job Description

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA.

Minimum qualifications:

PhD degree in Quantum Computing domain, such as Math, Physics, Computer Science, Electrical Engineering, or equivalent practical experience.
Research publication experience in quantum error correction.

Preferred qualifications:

1 year of experience owning and initiating research agendas.

About the job

As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes.

Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits to hardware constraints on connectivity.
Analyze fault-tolerant circuits for syndrome measurement and logical operations.
Simulate quantum codes under noise models and evaluate performance.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

quantum algorithm algorithms quantum algorithm quantum algorithm qubit jobs

Research Scientist, Quantum Error Correction, Quantum AI

Qubit Control IC Designer

Principal Human Resources Business Partner

Manager, Payroll (ADP Workforce Now)

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Senior Staff Software Engineer - Application Engineering

Senior Optical Packaging Process Engineer

Senior System Design Engineer

Senior Finance Manager, Capital Planning & Management

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