Global Technology Applied Research Senior Associate - Quantum Computing

Job Description
JPMorgan Chase's Global Technology Applied Research team is looking for quantum computing researchers. Preference will be given to candidates with 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 .
About You
We are looking for innovative problem-solvers with a passion for turning scientific research into commercial, business value. The focus of your role will be to:

• 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

About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
About the Team
The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.