OVERVIEW
What Is a Quantum Computing Researcher?
Acting as explorers, innovators, and problem solvers, quantum computing researchers study new techniques for applying quantum physics principles to various technological challenges. Their work lies at the intersection of quantum mechanics and computer science. While classical computers use binary digits called “bits,” quantum systems use “qubits” to perform calculations. Qubits can be created and controlled using photons, trapped ion systems, and superconducting materials. Through a quantum physics principle known as entanglement, qubits affect each other regardless of their distance apart. This phenomenon forms the basis of today’s most advanced quantum technologies. Through quantum computing research, investigators are discovering how to use quantum mechanics principles to solve problems that are beyond the scope of traditional computers.
RESPONSIBILITIES
What Does a Quantum Computing Researcher Do?
While quantum technology shows tremendous promise, many questions about quantum computing remain unanswered. Quantum computing researchers discover essential insights through theoretical research as well as practical experiments and tests. They share their findings with other quantum computing leaders through research papers and presentations. A day in the life of a quantum computing researcher can vary significantly, but their work often involves the following responsibilities:
- Developing quantum hardware through trapped ion systems, photon-based systems, and superconducting quantum circuits.
- Designing quantum algorithms for specific computational problems.
- Performing quantum simulations to test theories.
- Collaborating with quantum technology experts and scientists from various educational institutions and research centers.
- Refining quantum control systems to maximize efficiency and reduce the impact of various environmental factors.
- Developing quantum error correction techniques to improve the reliability of quantum technologies.
- Creating sophisticated encryption methods through post-quantum cryptography.
- Building quantum circuits for scalable quantum computer applications.
- Conducting theoretical research in quantum information science.
- Mentoring students and entry-level quantum researchers.
- Writing academic research papers and presenting findings to stakeholders.
Where Does a Quantum Computing Researcher Work?
Quantum computing researchers can work in a variety of settings, including:
- Colleges and universities
- Private research laboratories
- Government research facilities
- Technology corporations such as IBM, Google, and Microsoft
- Quantum software companies
- National laboratories
- Research institutes
- Military defense and security organizations
EDUCATION & BEST DEGREES
How Do I Become a Quantum Computing Researcher?
If you’re interested in the exciting and lucrative field of quantum computing research, you’ll need a strong educational foundation in computer science, physics, mathematics, and programming. Many quantum computing researchers begin their academic journeys by earning a bachelor’s degree in computer science, software engineering, information technology, cloud computing, physics, or mathematics. If you’re pursuing research in quantum computing, you should complete coursework in advanced mathematics, computer programming, and foundational quantum mechanics principles.
Because it’s a highly specialized field, you’ll likely also need a graduate degree or Ph.D. to excel in a quantum computing career. Earning a master’s degree in computer science, software engineering, data analytics, electrical engineering, or a related field can equip you with advanced skills and specialized knowledge. Hands-on research experience and laboratory work in quantum systems are also highly advantageous.
Best Degrees for a Quantum Computing Researcher
Technology
Software Engineering – B.S.
You're a creative and tech genius who wants the bigger opportunities....
You're a creative and tech genius who wants the bigger opportunities.
- Time: 60% of graduates finish similar programs within 35 months.
- Tuition: $4,085 per 6-month term.
- Courses: 36 or 38 total courses in this program depending on your track.
Certifications included in this program at no additional cost are:
- CompTIA Project +
- AWS Certified Cloud Practitioner
- ITIL®1 Foundation Certification
You can also accelerate your program and complete both a B.S. in Software Engineering and an M.S. in Software Engineering together, requiring less courses overall and saving you time and money. Learn more about this option.
Skills for your résumé that you will learn in this program:
- Scripting and programming
- Web development
- Mobile application development
- User experience design
- Software quality assurance
Technology
Computer Science – B.S.
Problem solvers and math lovers needed! Your task:...
Problem solvers and math lovers needed! Your task:
Lay the groundwork for the computing breakthroughs that will enable tomorrow's technologies. Utilize your previous college courses or IT experience to help you complete your degree faster.
- Time: 60% of graduates in similar programs finish within 24 months.
- Tuition: $4,085 per 6-month term.
- Courses: 37 total courses in this program.
You'll have the opportunity to earn these certifications:
- Linux Essentials
- Axelos ITIL Foundation
You can also accelerate your program and complete both a B.S. in Computer Science and an M.S. in Computer Science together, requiring less courses overall and saving you time and money. Learn more about this option.
Skills for your résumé that you will learn in this program:
- Artifical Intelligence (AI)
- Machine Learning
- Logic
- Architecture and systems
- Data structures
- Computer theory
- Version Control
- Linux
Technology
Information Technology – B.S.
Award-winning coursework and value-add certifications make this online...
Award-winning coursework and value-add certifications make this online program a top choice.
- Time: 61% of graduates finish within 39 months.
- Tuition: $3,725 per 6-month term.
- Courses: 36 total courses in this program.
Certifications included in this program at no additional cost:
- CompTIA A+
- CompTIA Network+
- CompTIA Security+
- CompTIA Project+
- CompTIA IT Operations Specialist
- CompTIA Secure Infrastructure Specialist
- Amazon AWS Cloud Practitioner
- ITIL®*^ Foundation Certification
- LPI Linux Essentials
Skills for your résumé that you will learn in this program:
- Scripting and programming
- Networking and security
- Systems and services
- Data management
- Business of IT
Technology
Cloud Computing – B.S.
A three-track program designed to arm you with the certifications and...
A three-track program designed to arm you with the certifications and credentials you need for a career like systems administrator, computer systems analyst, cloud support specialist, AWS support administrator, and more.
- Time: 63% of graduates finish within 37 months.
- Transfer: Your previous college coursework and existing certifications may waive course requirements, helping you finish even faster.
- Tuition: $4,085 per 6-month term.
- Courses: 37 total courses in this program.
- 3 Tracks: Choose between a multi-cloud, AWS, or Azure focused track to learn specific software specialties.
Certifications at no extra cost, including:
- Amazon AWS Cloud Practitioner
- Amazon AWS SysOps Administration–Associate
- Azure Fundamentals
- Developing Solutions for Microsoft Azure
- LPI Linux Essentials
- CompTIA A+
- CompTIA Cloud+
- CompTIA Security+
- CompTIA Project+
Skills for your résumé that you will learn in this program:
- Scripting and Automation
- Managing Cloud Security
- Development
- Applications
- Ongoing maintenance and security
Technology
Computer Science – M.S.
A degree in computer science can give you critical IT skills for your...
A degree in computer science can give you critical IT skills for your future.
- Time: 61% of graduates finish similar programs within 20 months.
- Tuition: $3,985 per 6-month term.
- Courses: 10 total courses in this program.
The M.S. in Computer Science at WGU has three specializations for students to choose from, giving them the opportunity to focus on an area that is meaningful for their career and life. The specializations are Computing Systems, Human-Computer Interaction, and Machine Learning and Artificial Intelligence. You can also accelerate your program and complete both a B.S. in Computer Science and an M.S. in Computer Science together, requiring less courses overall and saving you time and money.
Skills for your résumé that you will learn in the computer science programs include:
- Programming and Logic
- Architecture and Systems
- Data Structures
- AI
- Project Management
Technology
Software Engineering – M.S.
Earn a master's degree in software engineering and boost your career...
Earn a master's degree in software engineering and boost your career options.
- Time: 61% of graduates finish similar programs within 20 months.
- Tuition: $4,085 per 6-month term.
- Courses: 10 total courses in this program.
This program features three specializations that help you focus your studies and boost your résumé with specific skills and experience. The specialization areas are AI Engineering, DevOps Engineering, and Domain Driven Design.
Skills for your résumé that you will learn in this program include:
- Software design
- Architecture
- Project management
- Testing
- System integration
Technology
Data Analytics – M.S.
Lead businesses with strong analysis skills:...
Lead businesses with strong analysis skills:
- Time: 61% of graduates finish within 20 months.
- Tuition: $4,520 per 6-month term.
- Courses: 11 total courses in this program.
This program consists of three specialization areas which allow you to gain specific experience and skills that will benefit your future career. You can choose from data science, data engineering, and decision process engineering specializations to enhance your degree.
Skills for your résumé that you will learn in this program:
- Data Modeling
- Big Data
- Business Intelligence
- Data Quality
- SQL
- Python
Technology
Data Engineering Professional Certificate - School of Technology
The Data Engineering Professional Certificate equips professionals with...
The Data Engineering Professional Certificate equips professionals with the essential technical competencies to process, store, and analyze massive datasets across cloud environments.
- Time: 7 months from start to finish.
- Cost: $3,500 for the certificate.
- Courses: 3 courses total in this program.
This certificate program is tailored for professionals with a background in data analytics, cloud computing, or IT who want to expand their expertise and advance their career in data engineering.. This certificate will prepare you for the next step in your career.
This certificate can help advance your skills in data processing, cloud enviroments, data analytics, and more for a long-term career in their industry.
How Much Does a Quantum Computing Researcher Make?
$122,520
The salaries for jobs in quantum computing vary. According to ZipRecruiter, most quantum computing scientists earn $77,500 to $155,000 a year, and the average annual salary is $122,520. Compensation can differ depending on the industry, employer, geographic location, and other factors. Quantum computing professionals with advanced education and extensive experience can expect to earn higher salaries than those just starting their careers. In addition to base salaries, many quantum computing researchers also receive additional funding for travel and research.
What Is the Job Outlook for a Quantum Computing Researcher?
7%
The U.S. Bureau of Labor Statistics (BLS) doesn’t collect data about quantum computing researchers specifically, but these professionals are usually classified as physicists. According to the BLS, the employment of physicists is projected to grow by 7% from 2023 to 2033. Other sources confirm that the quantum computing industry is expanding. A report from Quantum Insider estimates that there will be approximately 840,000 new jobs in quantum computing by 2035. Additionally, the U.S. Department of Energy announced in January 2025 that it will provide $71 million in funding for quantum information science projects. The interest in this promising field is growing, making now an exciting time to begin a quantum computing research career.
SKILLS
What Skills Does a Quantum Computing Researcher Need?
To succeed in a quantum computing researcher career, you’ll benefit from a mix of technical abilities and soft skills, including proficiency in the following:
- Advanced mathematics. To understand how and why quantum systems work, researchers need a strong foundation in linear algebra, calculus, and probability theory.
- Software proficiency. Researchers must have a thorough grasp of quantum platforms and tools such as IBM Quantum Experience, Google Cirq, and Amazon Bracket.
- Programming languages. Using Python, Q#, Cirq, Qiskit, Julia, and other languages, quantum computing researchers write the code that powers computational algorithms.
- Quantum mechanics principles. Since quantum machines rely on phenomena like superposition and photon entanglement, researchers need to understand quantum physics concepts to perform work duties.
- Scientific computing and simulation. To optimize quantum algorithms, researchers use virtual models to test systems under different conditions.
- Research methodology. Quantum computing researchers design experiments, test hypotheses, and analyze results to better understand quantum computer applications.
- Technical writing. From technical reports and scientific articles to grant proposals and educational materials, researchers frequently use technical writing skills to convey the content and significance of their work.
- Problem-solving. In the fast-growing field of quantum computing, there are still many unknowns. Researchers need robust problem-solving skills and a hunger for knowledge.
- Analytical thinking. Researchers use logic and critical thinking skills to design, evaluate, and refine algorithms.
- Communication and collaboration. Whether they’re teaming with software developers, cybersecurity experts, government officials, or other stakeholders, quantum computing researchers use exceptional communication skills to work cooperatively toward shared goals.
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