Quantum Algorithm Development Intern

Summary

Allstate is an insurance company focused on protecting families and their belongings through innovative products and services. The Quantum Algorithm Development Intern will support research and development involving quantum computing, optimization, machine learning, and analytics by developing algorithms, simulations, and prototypes. The role also involves comparing quantum and classical approaches, conducting research, collaborating with technical and academic partners, and communicating findings.

Responsibilities

• Assist in the development and evaluation of quantum computing algorithms for optimization, machine learning, and related applications
• Build simulations and prototypes using quantum and classical computing tools
• Analyze and compare the performance of quantum and classical approaches through numerical experiments
• Investigate a defined technical or research question with guidance from members of the team
• Contribute to research studies, technical documentation, presentations, and proof-of-concept projects
• Collaborate with internal teams and, when applicable, external researchers from universities, national laboratories, and industry
• Help identify practical problems that could potentially benefit from future advances in quantum computing
• Learn and apply best practices in scientific computing, data analysis, and algorithm development
• Communicate progress, raise questions when support is needed, and incorporate feedback throughout the project

Skills

• Current **undergraduate student entering senior year**, current graduate student, or recent graduate pursuing a degree in:
• * Computer Science
• * Physics
• * Mathematics
• * Statistics
• * Data Science
• * Industrial Engineering
• * Operations Research
• * Electrical Engineering
• * Or a related quantitative or technical field
• Coursework, research, or project experience in one or more of the following areas:
• * Quantum Computing
• * Linear Algebra
• * Algorithms
• * Mathematical Optimization
• * Machine Learning
• * Scientific Computing
• * Experience programming in **Python** or a similar technical programming language
• * Strong analytical, research, and problem-solving skills
• * Excellent written and verbal communication skills, with the ability to explain technical concepts clearly
• * Demonstrated curiosity, initiative, and a willingness to learn by asking questions and tackling unfamiliar challenges
• * Interest in emerging technologies and their real-world applications
• One or more of the following:
• * Introductory coursework or project experience in quantum computing
• * Familiarity with quantum circuits or quantum algorithms
• * Experience with quantum software frameworks such as Qiskit, Cirq, PennyLane, CUDA-Q, or similar tools
• * Coursework, research, or projects involving quantum information science
• One or more of the following:
• * Machine learning or predictive modeling
• * Mathematical optimization, operations research, or decision science
• * Data analysis, statistics, or scientific computing
• * Experience with optimization libraries, machine learning frameworks, or numerical methods
• * Experience applying analytical or computational methods to technical or business problems
• * Intellectual curiosity and an interest in investigating unanswered questions
• * Ability to work independently while communicating when support is needed
• * Comfort learning unfamiliar technical concepts
• * Ability to explain complex work clearly and concisely
• * Strong written and verbal communication skills
• * Openness to feedback and collaboration
• * Ability to connect technical findings to practical applications
• This internship is designed for senior-level undergraduate students, graduate students, and recent graduates interested in applying quantum computing to real-world optimization, machine learning, and analytics challenges
• Strong candidates bring experience from a **Quantum Computing track**, in combination with a **Classical Analytics track**, or related fields

Qualifications

Must Haves

• Current **undergraduate student entering senior year**, current graduate student, or recent graduate pursuing a degree in:
• * Computer Science
• * Physics
• * Mathematics
• * Statistics
• * Data Science
• * Industrial Engineering
• * Operations Research
• * Electrical Engineering
• * Or a related quantitative or technical field
• Coursework, research, or project experience in one or more of the following areas:
• * Quantum Computing
• * Linear Algebra
• * Algorithms
• * Mathematical Optimization
• * Machine Learning
• * Scientific Computing
• * Experience programming in **Python** or a similar technical programming language
• * Strong analytical, research, and problem-solving skills
• * Excellent written and verbal communication skills, with the ability to explain technical concepts clearly
• * Demonstrated curiosity, initiative, and a willingness to learn by asking questions and tackling unfamiliar challenges
• * Interest in emerging technologies and their real-world applications
• One or more of the following:
• * Introductory coursework or project experience in quantum computing
• * Familiarity with quantum circuits or quantum algorithms
• * Experience with quantum software frameworks such as Qiskit, Cirq, PennyLane, CUDA-Q, or similar tools
• * Coursework, research, or projects involving quantum information science
• One or more of the following:
• * Machine learning or predictive modeling
• * Mathematical optimization, operations research, or decision science
• * Data analysis, statistics, or scientific computing
• * Experience with optimization libraries, machine learning frameworks, or numerical methods
• * Experience applying analytical or computational methods to technical or business problems
• * Intellectual curiosity and an interest in investigating unanswered questions
• * Ability to work independently while communicating when support is needed
• * Comfort learning unfamiliar technical concepts
• * Ability to explain complex work clearly and concisely
• * Strong written and verbal communication skills
• * Openness to feedback and collaboration
• * Ability to connect technical findings to practical applications

Nice to Haves

• This internship is designed for senior-level undergraduate students, graduate students, and recent graduates interested in applying quantum computing to real-world optimization, machine learning, and analytics challenges
• Strong candidates bring experience from a **Quantum Computing track**, in combination with a **Classical Analytics track**, or related fields

Benefits

• Fully Remote
• Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.