Quantum Application Scientist

QCi • NJ

63d

About The Position

We are seeking an experienced Quantum Application Research Scientist for research and development on utilizing QCi’s entropy quantum computing hardware for solving computationally-hard optimization problems. This role involves close collaboration with the high-performance computing application team as well as the entropy computing hardware team.

Requirements

• PhD in Quantum Information Science, Physics, Computer Science, Applied Mathematics, or a related field.
• Strong foundation in quantum algorithms, quantum information theory, or quantum statistical mechanics.
• Demonstrated research experience in optimization methods, either quantum or classical.
• Proficiency in scientific programming (Python, C++, or similar) and numerical methods.
• Strong track record of publications or equivalent technical contributions.
• Ability to work collaboratively across disciplines and communicate complex ideas clearly.

Nice To Haves

• Experience with NISQ (Noisy Intermediate-Scale Quantum) hardware, analog quantum devices, or non-traditional quantum computing paradigms.
• Familiarity with entropy-based computing models or statistical physics approaches to optimization.
• Background in high-performance computing, large-scale simulations, or hybrid classical-quantum workflows.
• Experience with combinatorial optimization formulations such as Ising models, QUBO, or constraint satisfaction problems.
• Industry or government R&D experience in applying quantum or advanced computational techniques to real-world problems.
• Strong collaborative and leadership skills, including mentoring junior researchers.

Responsibilities

• Design, analyze, and implement algorithms for combinatorial optimization and related computationally challenging problems on entropy quantum computing hardware.
• Collaborate with hardware engineers to map theoretical models and algorithms to physical implementations.
• Benchmark entropy quantum computing approaches against classical and quantum alternatives, and publish results in peer-reviewed venues.
• Develop simulation and modeling tools to characterize performance and scalability.
• Contribute to interdisciplinary projects at the intersection of physics, computer science, and applied mathematics.
• Work closely with the applications team to identify high-impact use cases in industry and government.
• Communicate results and insights to both technical and non-technical audiences, including customers, collaborators, and leadership.

What This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees