Experimental Skills for Undergraduate Career Preparation in Quantum Information Science and Engineering

This study identifies and categorizes the specific experimental skills required for bachelor's-level positions in the quantum information science industry through interviews with professionals, offering educators concrete learning goals to better align undergraduate curricula with career needs.

The Gist

Imagine the world of Quantum Information Science (QISE) as a massive, high-tech construction project. We are building a new kind of city where computers, sensors, and communication networks operate on the strange rules of quantum physics.

For a long time, educators and industry leaders knew they needed more workers for this city. They knew they needed people who could build the houses (hardware), write the blueprints (software), and manage the teams. But there was a big problem: No one knew exactly what tools the "entry-level" workers (those with just a bachelor's degree) needed to carry in their tool belts.

Most university classes were like theory lectures in a library. Students learned the math of how a quantum house should work, but they never got to hold the hammer, wire the circuits, or fix a leaky pipe. Meanwhile, the quantum industry was hiring thousands of people to actually build these systems, and they were frustrated that new graduates didn't know how to use the tools.

This paper is like a field survey conducted to answer the question: "What exactly do the workers on the quantum construction site need to know how to do?"

The Investigation: Talking to the Foremen

The researchers didn't just guess. They went out and interviewed 44 professionals working in quantum companies across the US. They talked to managers and workers in different types of jobs:

• The Hardware Crew: People building the actual quantum machines (lasers, chips, vacuum chambers).
• The Software Crew: People writing the code that tells the machines what to do.
• The Bridge Builders: People who translate between the hardware and software teams.
• The Public Face: People explaining the tech to investors, governments, and the public.

They asked these professionals: "What specific skills do you look for when hiring someone with a bachelor's degree?"

The Findings: The Four "Tool Buckets"

The researchers found that the skills needed weren't just about "knowing quantum physics." Instead, they fell into four main buckets, like four different compartments in a master toolbox:

1. The Instrumentation Bucket (The "Hands-On" Tools)

This is about knowing how to use the physical tools.

• The Analogy: Imagine you are a chef. You don't just need to know the recipe (theory); you need to know how to sharpen a knife, calibrate the oven, and fix a broken mixer.
• The Skill: In quantum jobs, this means knowing how to set up lasers, align mirrors, use vacuum pumps, and troubleshoot why a machine stopped working. The study found that even software engineers needed to know how to handle these physical tools because their code had to talk to real, physical hardware.

2. The Computation & Data Bucket (The "Translator" Tools)

This is about using computers to make sense of the chaos.

• The Analogy: Imagine you are a detective at a crime scene. You have a million blurry photos and scattered clues. You need a special app to organize the photos, find patterns, and tell you who the suspect is.
• The Skill: Quantum experiments generate huge amounts of messy data. Workers need to know how to write code (like Python) to clean that data, find errors, and figure out if the experiment actually worked. It's not just "doing math"; it's using computers as a flashlight to see what's happening in the dark.

3. The Design Bucket (The "Architect" Tools)

This is about planning the experiment and managing the project.

• The Analogy: Imagine you are building a treehouse, but you've never built one before, and the instructions are missing. You have to figure out which branches are strong enough, how to handle the wind, and what to do if a board breaks halfway through.
• The Skill: Quantum technology is new and unproven. Workers need to be able to design their own tests, figure out what "good enough" looks like, and keep going when things fail (which they often do). It's about resilience and creative problem-solving.

4. The Communication Bucket (The "Teamwork" Tools)

This is the most surprising finding: Everyone needs this.

• The Analogy: Imagine a massive orchestra. The violinist, the drummer, and the conductor all play different instruments, but if they don't listen to each other and talk about the tempo, the music sounds like noise.
• The Skill: The study found that every single job, from the person building the chip to the person selling the tech, needed to communicate well. They had to write reports, explain complex ideas to non-experts, and work in teams. You can't be a "lone wolf" in quantum; you have to be a team player.

The Big Picture: What Does This Mean for Students?

The paper concludes that universities need to change how they teach.

• Stop just talking about theory: Don't just teach students the math of a qubit. Show them what a qubit looks like in a real lab. Talk about the noise, the heat, and the broken wires.
• Make labs more like real jobs: Instead of giving students a recipe to follow (Step 1, Step 2, Step 3), give them a problem and let them figure out the steps. Let them break things and fix them.
• Teach "Soft Skills" as "Hard Skills": Don't treat writing reports or working in a group as an afterthought. In the quantum world, these are just as important as knowing how to solder a circuit.

The Takeaway

Think of the quantum industry as a new, exciting frontier. For a long time, we were sending explorers out there with just a map (theory) but no compass, no tent, and no first-aid kit (practical skills).

This paper is the guidebook that tells educators: "Here are the exact tools the explorers need. Give them the compass, teach them to build the tent, and show them how to talk to the tribe." By doing this, we can ensure that the next generation of quantum workers is ready to build the future, not just read about it.

Technical Summary

1. Problem Statement

The Quantum Information Science and Engineering (QISE) industry is rapidly expanding, creating a demand for a diverse workforce that includes bachelor's degree graduates. While existing literature and workforce studies emphasize the general value of "experiential learning" and "hands-on skills" for QISE careers, they lack specificity.

• The Gap: Current undergraduate QISE curricula are heavily theoretical, focusing on abstractions (qubits, gates) rather than physical systems. Conversely, industry roles for bachelor's graduates often involve building, testing, integrating, and maintaining physical hardware.
• The Challenge: Educators lack a concrete, granular understanding of which specific experimental skills are required for bachelor's-level positions. Without this specificity, it is difficult to translate broad workforce needs into actionable learning goals for undergraduate courses and laboratory curricula.

2. Methodology

The study employed a qualitative research design to bridge the gap between industry needs and educational outcomes.

• Data Collection:
  • Participants: 44 semi-structured interviews conducted between December 2024 and January 2026 with professionals (employees and managers) in 24 distinct US-based quantum companies.
  • Sampling: Used purposeful and convenience sampling (leveraging institutional networks and the Quantum Economic Development Consortium).
  • Scope: Interviews covered various company types (hardware, software, networking, sensing, consulting) and sizes.
• Data Filtering:
  • From the 44 interviews, researchers identified 88 distinct positions.
  • The dataset was filtered to retain only positions explicitly described as requiring bachelor's-level preparation (excluding roles open to PhDs or requiring advanced degrees as a primary filter).
  • Final Dataset: 24 distinct bachelor's-level positions.
• Data Analysis:
  • Framework: The analysis was initially guided by the American Association of Physics Teachers (AAPT) 2014 recommendations for undergraduate physics laboratory curricula (e.g., modeling, designing experiments, communication).
  • Thematic Analysis: Researchers used iterative coding to identify Knowledge, Skills, and Abilities (KSAs) related to experimental work.
  • Refinement: Because industry descriptions often blended AAPT categories, the original labels were deconstructed and reorganized into four new, data-driven thematic categories.
  • Role Categorization: Positions were mapped to four role types: Hardware, Software, Bridging, and Public Facing/Business.
  • Reliability: Inter-rater reliability (IRR) testing showed 85% initial agreement, refined to 100% after discussion.

3. Key Contributions

The paper's primary contribution is the articulation of experimental skills as specific learning goals tailored for undergraduate QISE education. It moves beyond general calls for "more labs" to define what those labs should teach.

The study identifies four overarching categories of experimental skills:

1. Instrumentation: Operating, maintaining, and troubleshooting physical systems (optics, electronics, vacuum, cryogenics).
2. Computation and Data Analysis: Using programming (e.g., Python) to control instruments, process data, and perform statistical analysis.
3. Experimental and Project Design: Planning experiments, defining requirements, managing technical projects, and navigating ill-defined contexts.
4. Communication and Collaboration: Technical documentation, presenting to stakeholders, and cross-functional teamwork.

4. Results

The study provides a granular mapping of skills to specific job roles and role types.

• Skill Distribution by Role Type:
  • Hardware Roles (e.g., Fabrication Engineer, Laser/Optics Engineer): Heavily emphasize Instrumentation (operating lasers, interferometers, vacuum systems) combined with Computation/Data Analysis for system monitoring.
  • Software Roles (e.g., Quantum Software Developer): Primarily rely on Computation and Data Analysis. Instrumentation skills are present but usually limited to interfacing software with hardware or debugging experimental setups.
  • Bridging Roles (e.g., System Operator): Exhibit the broadest range of skills, requiring fluency across all four categories to connect technical applications with underlying hardware/software.
  • Public Facing/Business Roles (e.g., Government Advocate): Rely most on Communication and Collaboration, though they require sufficient familiarity with other skill categories to engage with technical stakeholders.
• Universal Finding: Communication and Collaboration is the only skill category present in every bachelor's-level position analyzed. This underscores that soft skills are not peripheral but integral to experimental practice in the quantum industry.
• Specific Learning Goals: The authors generated 24 specific learning goals (Tables II–V in the paper), such as:
  • I4: "Able to work with optical systems and perform optical alignment."
  • D6: "Able to perform data analysis, including uncertainty analysis."
  • E9: "Able to conduct an experiment in an open-ended and ill-defined context."
  • C3: "Able to create and maintain clear and up-to-date technical documentation."

5. Significance and Implications

This research provides a roadmap for aligning undergraduate physics education with the actual needs of the quantum workforce.

• Curriculum Reform: Educators can integrate discussions of hardware, noise, and system constraints into theory courses (even without formal labs) to bridge the gap between abstract theory and physical reality.
• Laboratory Instruction: The findings support the use of skills-focused instructional laboratories where students build apparatus, choose analysis methods, and troubleshoot. This is more scalable and accessible than requiring expensive, specialized quantum hardware for every student.
• Professional Skills Integration: The study argues that communication and collaboration should be treated as core experimental skills, not "soft skills." Labs should require students to maintain shared technical documentation and coordinate team decisions.
• Scalability: By defining transferable skills (e.g., troubleshooting, data analysis, project management) rather than specific quantum hardware operations, institutions with varying resources can adapt these learning goals to their local contexts.

In conclusion, the paper demonstrates that bachelor's-level quantum professionals are cross-functional practitioners. Effective undergraduate preparation requires a curriculum that explicitly integrates instrumentation, computation, design, and communication, moving beyond purely theoretical instruction to prepare students for the interdisciplinary reality of the quantum industry.