JPMorgan Global Technology Applied Research Senior Associate – Quantum Computing 

United States, New York, New York 

933819375

About You

• Advance the field of quantum algorithms and their applications to optimization, machine learning and financial use cases
• Provide novel research solutions to problems faced by internal project teams
• Work with other researchers to document your findings in scientific papers
• Contribute to JPMC’s IP by pursuing necessary protections of generated IP

Key Qualifications/Skills:

• A Master’s or Ph.D. degree in computer science, physics, math, engineering or related fields
• Demonstrated research ability in quantum computing or related fields
• Experience in scientific technical writing
• Proficiency in Python
• Strong communication skills and the ability to present findings to a non-technical audience
• Experience in one or more following domains:
  • Theory of quantum information (query complexity)
  • Quantum algorithms for optimization (QAOA, quantum adiabatic algorithm, quantum walks)
  • Quantum algorithms for machine learning (quantum algorithms for linear systems, PCA, classification)
  • Quantum linear algebra (LCU, QSVT)
  • Quantum error correction and fault tolerance (qLDPC codes, QEC decoders)
  • Simulation of quantum algorithms (MPS, PEPS, tensor networks)
  • High-performance computing (MPI, experience running computational tasks on 100+ nodes)
  • Quantum-inspired algorithms
• No prior familiarity with finance or financial use cases required
• Preference is given to candidates with a strong publication record in one of the following domains: (i) practical aspects of error detection and error correction (ii) high-performance simulation of quantum computers (MPS, tensor networks), (iii) theory of quantum algorithms for optimization and (iv) quantum-inspired algorithms. No prior familiarity with finance or financial use cases is required. We encourage candidates to include a link to their Google Scholar or Semantic Scholar profile in their resume