Quantum Computing Research Scientist – Computational Methods
at J.P. Morgan
Posted 14 days ago
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- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Join JPMorgan Chase's Global Technology Applied Research team to develop and scale high-performance numerical methods for quantum algorithms, cryptography, and compilation. You will lead development of exact and approximate quantum-circuit and dynamics simulators, optimize code for GPUs and multi-node HPC/supercomputer environments, and run large-scale simulations. The role involves maintaining a codebase of quantum simulation techniques and documenting results in scientific publications.
Location: New York, NY, United States
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work with Global Technology Applied Research (GTAR) center at JPMorganChase. The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next-generation solutions for the firm’s clients and businesses.
As a Quantum Computing Research Scientist within The Global Technology Applied Research (GTAR), you will develop and scale up high-performance numerical methods to advance the study of quantum algorithms, quantum cryptography, and quantum compilation.
Job responsibilities
Drive a research agenda using numerical methods to advance quantum computing
Lead the development of numerical methods for exact and approximate simulation of quantum circuits and dynamics of quantum systems
Scale up numerical methods on HPC clusters and supercomputers
Perform large-scale simulations and document the results in scientific papers.
Implement, maintain, and manage a codebase of quantum simulation techniques.
Required qualifications, capabilities, and skills
Ph.D. degree in computer science, physics, math, engineering or related fields, plus at least 2 years of experience (industry or postdoc)
- Experience in using GPUs in numerical simulation of quantum systems
- Experience running simulations on many parallel nodes on HPC clusters or supercomputers
- Experience in numerical study of quantum algorithms or systems and documenting the results in scientific papers
Preferred qualifications, capabilities, and skills
- Experience developing a successful research program focused on numerical study of quantum algorithms
- Experience with tensor network methods (e.g. MPS, PEPS)
- Knowledge of quantum algorithms for financial problems (e.g., optimization, risk analysis)
- Knowledge of error correction
