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Quantum Computing Research Scientist – Quantum Error Correction - Senior Associate
New York, NY, United States, US
·
On-site
·
Full-time
·
1mo ago
必須スキル
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 Senior Associate 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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Develop circuit gadgets and protocols for universal fault-tolerant quantum computation (FTQC)
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Numerically investigate and optimize fault-tolerant gadgets for real-world execution on quantum computing hardware
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Implement and experimentally validate 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
- Ph.D. degree in computer science, physics, math, engineering, or related fields, or equivalent experience
- Competency in 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
- 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
- Experience building quantum circuits in a major software framework such as Cirq, Qiskit, or Pytket
- Fluency in at least one of: Python, Julia, C++, Rust
- 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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JPMorgan Chaseについて

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+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
3.8
キャリア
3.0
経営陣
2.5
65%
友人に勧める
良い点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
給与レンジ
41件のデータ
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2件のレポート
$188,500
年収総額
基本給
$145,000
ストック
-
ボーナス
-
$182,000
$195,000
面接体験
5件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
40%
体験
ポジティブ 20%
普通 80%
ネガティブ 0%
面接プロセス
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
よくある質問
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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