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Quantum Computing Research Scientist – Computational Methods
New York, NY, United States, US
·
On-site
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Full-time
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4w ago
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 JPMorgan Chase. 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
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Drive a research agenda using numerical methods to advance quantum computing
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Lead the development of numerical methods for exact and approximate simulation of quantum circuits and dynamics of quantum systems
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Scale up numerical methods on HPC clusters and supercomputers
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Perform large-scale simulations and document the results in scientific papers.
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Implement, maintain, and manage a codebase of quantum simulation techniques.
Required qualifications, capabilities, and skills
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Ph.D. degree in computer science, physics, math, engineering or related fields, plus at least 2 years of experience (industry or postdoc)
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Experience in using GPUs in numerical simulation of quantum systems
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Experience running simulations on many parallel nodes on HPC clusters or supercomputers
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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
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total / year
Base
$145,000
Stock
-
Bonus
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$182,000
$195,000
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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