qubitsok.com
Cut Noise. Work Quantum.
Europe, Germany, Hamburg
•
Posted 22 days ago
🏢 Universal Quantum
Role Type
Role Focus
Seniority
Employer Type
Visa / Relocation Details
relocation allowance
This role seeks a Quantum Algorithm Scientist to map existing classical problems to suitable quantum algorithms. The position involves performing logical resource estimation to inform hardware requirements and developing a perspective on achieving quantum advantage. Key duties also include tailoring quantum algorithms for near-term hardware and designing experiments for benchmarking and error characterization.
Key Responsibilities
Match existing classical problems to relevant quantum algorithms.
Perform logical resource estimation and use the analysis to help inform the requirements for hardware.
Develop a point of view on what is required for quantum advantage.
Tailor quantum algorithms to run on near-term hardware.
Design experiments for benchmarking and error characterisation of near-term hardware.
Required Skills
Experience with developing and modifying quantum algorithms.
Experience matching classical problems to known quantum algorithms.
Working knowledge of benchmarking procedures.
Ability to perform simulation and modelling to inform experiments.
PhD or equivalent experience.
5+ years (degree-inclusive) experience involving quantum algorithm development and research.
Excellent written and oral communication skills, with published results in the field of research.
Nice-to-have Skills
Knowledge of quantum error correction.
Knowledge of quantum computing tools such as Qiskit and Stim.
Proficiency in Python.
Technology Tags
The primary focus of the job is developing, modifying, and matching classical problems to quantum algorithms.
The job explicitly requires tailoring quantum algorithms to run on near-term hardware.
A core responsibility is designing experiments for benchmarking and error characterisation of near-term hardware.
Qiskit is explicitly listed as a nice-to-have tool for algorithm development and testing.
Tailoring algorithms to near-term hardware strongly implies working with hybrid classical/quantum approaches.
The role involves matching classical problems to quantum algorithms, many of which are optimization problems.
Knowledge of quantum error correction is explicitly listed as a nice-to-have requirement.
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