
Global financial services firm
Quantum Computing Research Scientist – Quantum Error Correction - Vice President
必备技能
Python
Rust
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 Vice President quantum computing researcher within The Global Technology Applied Research (GTAR), you will develop, investigate, and optimize (both analytically and numerically) protocols for universal fault-tolerant quantum computation, implement these protocols for experimental validation, and use these protocols to execute quantum algorithms fault-tolerantly on quantum computing hardware.
Job responsibilities
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Lead a research agenda for the advancement and validation of state-of-the-art methods for universal fault-tolerant quantum computation on existing and near-term quantum computing hardware
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Lead the development of circuit gadgets and protocols for universal fault-tolerant quantum computation (FTQC)
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Lead the numerical investigation and optimization of fault-tolerant gadgets for real-world execution on quantum computing hardware
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Lead the implementation and experimental validation of protocols for universal FTQC on quantum computing hardware
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Document analytical, numerical, and experimental results in scientific papers
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Implement, maintain, and manage a codebase that colleagues without expertise in quantum error correction (QEC) or fault-tolerance can use to run quantum algorithms fault-tolerantly on quantum computing hardware
Required qualifications, capabilities, and skills
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Ph.D. degree in computer science, physics, math, engineering, or related fields, or equivalent experience, plus at least 2 years of relevant experience (industry or postdoc)
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Fluency with the basics of qubit-based stabilizer QEC: stabilizer and subsystem codes; CSS codes; parity check matrices; logical and gauge operators; thresholds and pseudo-thresholds; Clifford and non-Clifford gates; Shor, Steane, and Knill QEC; code distance and effective (circuit) distance
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Experience with analytical and numerical circuit-level investigation of QEC and FTQC: constructing circuits for QEC cycles, state preparation, and logical operations; specifying noise models; building detector error models; running numerical simulations; decoding; computing logical error rates
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Experience in at least one of: designing fault-tolerant gadgets, magic-state distillation or cultivation, generalized code surgery, code adapters and extractors, dynamical codes, ZX calculus
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Experience building quantum circuits in a major software framework such as Cirq, Qiskit, or Pytket
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Fluency in at least one of: Python, Julia, C++, Rust
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Strong oral and written communication skills, strong scientific publication record
Preferred qualifications, capabilities, and skills
- Experience developing a successful research program focused on the development of protocols for universal FTQC
- Experience designing fault-tolerant gadgets for state preparation and logical gates
- Understanding of magic-state distillation and cultivation protocols
- Understanding of generalized code surgery, code adapters and extractors
- Understanding of concatenated code constructions and code families
- Understanding of dynamical codes
- Understanding of ZX calculus and fault-tolerant rewrites and experience with circuit-level quantum compilation
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
10条评价
3.8
10条评 价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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