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Machine Learning Quantum Computing Jobs in Maryland

Our Team Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with ... Strong experience with machine learning techniques and their application to complex physical ...

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Critically evaluating the utility of emerging quantum computing, sensing, and networking ...

ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human ...

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Machine Learning Quantum Computing information

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Maryland?

For Machine Learning Quantum Computing jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Maryland look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Quantum Computing jobs?

Cities in Maryland with the most Machine Learning Quantum Computing job openings:

Infographic showing various Machine Learning Quantum Computing job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Quantum Engineer

Riverdale Park, MD • On-site

$100 - $125/hr

Other

Medical

Posted 21 days ago


Key responsibilities

  • Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots

  • Develop automated calibration routines for long term maintenance of QPU performance

  • Devise measurement and analysis roadmaps to test and optimise quantum operations


Job description

About The Role and Team

The Intelligent Automation Team develops the software that controls, and optimises our Quantum Processing Units. Working in close partnership with the Quantum Hardware Team, this group works to enable our processors to perform at their limits. Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams form the engine room of Quantum Motion’s technology, bridging physics, engineering, and computation to unlock the next generation of quantum capability.

As a member of our evolving scale-up, you’ll help shape the next stage of quantum computing. We’re still a small team, which means your expertise will directly influence our technology, our culture, and our trajectory, while giving you room to grow as we scale.

Our Team

Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with additional labs and offices in Spain, Australia and the US, founded by internationally renowned researchers from University College London and Oxford University with over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state-of-the-art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial-grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.

This role forms part of our investment in state-of-the art facilities in Maryland, US. It reflects our commitment to driving innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into the strong semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team which is shaping the future of quantum computing.

As part of our lean, high-impact and rapidly growing team, you will be working closely with our scientists, engineers and experts in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development of scalable quantum computers based on silicon technology.

Functions of the Role
  • Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots

  • Develop automated calibration routines for long term maintenance of QPU performance

  • Devise measurement and analysis roadmaps to test and optimise quantum operations

Experience – Essentials
  • PhD degree in physics, chemistry, or engineering

  • Proven track record of leadership in dynamical characterisation and control of spin qubits in solid-state systems

  • Experience in defining research goals and leading teams toward successful technical outcomes

  • Familiar with the use of high-frequency electronics

  • Knowledge of quantum information systems and operations

  • Ability to independently design and carry out complex experiments; perform data analysis and preparation of technical reports and presentations

  • Knowledge of data acquisition software (Python, Matlab)

  • Ability to lead and motivate a team

  • Exceptional ability to communicate complex technical strategies to stakeholders, write grant applications, and author technical reports

Experience – Desirable
  • Strong experience with machine learning techniques and their application to complex physical systems.

  • Demonstrated capability in benchmarking quantum systems using methods such as randomised benchmarking and gate-set tomography.

  • Proven team leadership and people-management skills, including supervising technical staff and guiding cross-functional research efforts.

  • Experience mentoring junior researchers and effectively supervising research students to support their academic and professional development.

  • Skilled in the simulation of spin-based quantum systems and the dynamical characterisation of silicon-based nanoelectronic devices.

  • Hands-on experience operating and troubleshooting deep cryogenic measurement systems.

  • Experience with the dynamical characterisation silicon-based nanoelectronic devices

  • Ability to supervise research students

Benefits
  • Be part of a creative, world-leading team

  • Competitive salary and share options scheme

  • Region-specific benefits (e.g. Health Insurance)

  • Choose your own laptop/kit

  • Flexible working

  • Located in Maryland College Park – a state-of-the-art quantum hub

EEO Statement

Quantum Motion is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, pregnancy, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

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