Senior Quantum Computing Specialist

3 days ago

Pune, Maharashtra, India beBeeQuantum Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Quantum Algorithm Developer

A Quantum Algorithm Developer is responsible for designing and implementing quantum algorithms for various use cases across different manufacturing domains. They will develop hybrid quantum-classical solutions using various quantum frameworks/SDK's like Qiskit, Pennylane, Bracket.

Key Responsibilities:
  • Design and implement quantum algorithms for specific use cases (on different problem types – crypto, optimization, AI/ML, simulation) across different manufacturing domains.
  • Develop hybrid quantum-classical solutions using various quantum frameworks/SDK's like Qiskit, Pennylane, Bracket.
  • Deploy and test the solutions on different quantum simulators and hardware from different providers.
  • Design mathematical models for optimization problems (MILP, LP, NLP etc.).
  • Work with cross-functional teams to understand problem requirements and model constraints, objectives & variables.
  • Implement models using solvers like Cplex, Gurobi etc.
  • Benchmark results from quantum solutions against classical methods.
  • Explore new tools/frameworks/products launched in quantum computing space.

The ideal candidate will have a strong understanding of quantum mechanics and quantum computing principles, proficiency in Python & numerical libraries, and experience with quantum frameworks/SDK's like Qiskit, Pennylane etc.

Technical Skills:
  • Strong understanding of quantum mechanics and quantum computing principles.
  • Proficiency in Python & numerical libraries.
  • Experience with quantum frameworks/SDK's like Qiskit, Pennylane etc.
  • Immense experience with classical algorithms & optimization techniques.
  • Hands-on experience in modelling & solving optimization problems using various solvers.
  • Experience with implementing algorithms on NISQ era devices & quantum annealers.
  • Strong foundation in linear algebra (advanced), applied mathematics.
Good-to-Have Skills:
  • Familiarity with different cloud-based quantum services.
  • Knowledge in adjacent areas like machine learning, HPC & cryptography.
  • Tensorflow & pytorch (for quantum machine learning apps).

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