The convergence of AI and quantum computing requires a new approach to cybersecurity. Credible experts estimate that by 2030 a cryptographically relevant quantum computer will be capable of breaking the encryption that underpins all of our digital communication. One of the most disruptive technology in history is coming and it's expected to change everything. In this context academic institutions will contribute to their states' future economic prosperity by leveraging their strengths and resources, particularly talent development, in key and emerging areas prioritized across the state. We report on current efforts to develop a Pathways Plus to Quantum Information Science (QIS) degree, a set of dual credit courses for high-school (HS) students and incoming college students pursuing a minor or specialization in Quantum Computing (QC). As of today, in the US, quantum topics appear on the HS curriculum standards in just two states: OH (Computing) and TX (Physics). Reaching out to HS and even middle school students (and their teachers) presents obvious long-term benefits in terms of workforce development for the quantum industrial ecosystem. Standing in the way of successful, widespread introduction of QC and QIS topics in HS and middle school are three distinct obstacles: (a) lack of materials at the right level for students and instructors, (b) funding and support for professional development for teachers, and (c) lack of state standards. In this paper we address all three aspects with a special focus on the benefits of quantum virtual labs and ZX calculus in the classroom.
The convergence of AI and quantum computing requires a new approach to cybersecurity. Credible experts estimate that by 2030 a cryptographically relevant quantum computer will be capable of breaking the encryption that underpins all of our digital communication. One of the most disruptive technology in history is coming and it's expected to change everything. In this context academic institutions will contribute to their states' future economic prosperity by leveraging their strengths and resources, particularly talent development, in key and emerging areas prioritized across the state. We report on current efforts to develop a Pathways Plus to Quantum Information Science (QIS) degree, a set of dual credit courses for high-school (HS) students and incoming college students pursuing a minor or specialization in Quantum Computing (QC). As of today, in the US, quantum topics appear on the HS curriculum standards in just two states: OH (Computing) and TX (Physics). Reaching out to HS and even middle school students (and their teachers) presents obvious long-term benefits in terms of workforce development for the quantum industrial ecosystem. Standing in the way of successful, widespread introduction of QC and QIS topics in HS and middle school are three distinct obstacles: (a) lack of materials at the right level for students and instructors, (b) funding and support for professional development for teachers, and (c) lack of state standards. In this paper we address all three aspects with a special focus on the benefits of quantum virtual labs and ZX calculus in the classroom.
Abstract The emerging field of Quantum Computing (QC) is novel for most K12 educators. Fundamental understandings of QC rely on advanced mathematics and physics. Therefore, why is a middle or high school introduction to QC relevant or needed? In our local area, the Pennsylvania (PA) Department of Education specifies that PA science teachers implement learning experiences that allow students to understand the nexus of how societal needs create a demand for new technologies that in turn advance scientific knowledge and impact society [1], that science teachers create opportunities for students to engage in computational thinking and mathematics within authentic science and engineering contexts [2], and that mathematics pedagogy supports students to model with mathematics and make sense of complex problems [3]. To fulfill these existing learning aims, we present a collaborative curriculum development project based on our interdisciplinary research in which we develop quantum computing methods and tools for therapeutic drug discovery. The team includes faculty from medicine, quantum computing, machine learning, and science education. The curriculum development work aims to develop resources for middle and high school (U.S. grades 6 – 12) teachers to facilitate an introduction to Quantum Information Science (QIS) and QC, embedded in existing learning aims including mathematical, scientific, and engineering practices and concepts in statistics and probability, the natural sciences, and computing. We therefore demonstrate a proof-of-concept paper for how an introduction to QC designed for teachers and students in middle and high school can be responsive to disciplinary science and math learning goals (e.g., interpreting a distribution of quantum states and decoding it into viable molecular structures) and situated in contexts of emerging quantum technologies. The educational resources provide a developmentally-appropriate approximation [4] of the drug discovery goals of the project and utilize existing cloud-based quantum infrastructure from IBM (IBM Quantum Experience), making the QIS concepts accessible and useful in the middle and high school contexts in relation to these existing discipline-based learning goals. The associated professional development (PD) will foster a pathway for teachers to engage with scientists and engineers around unfinished problems, supporting an epistemological stance toward science that aligns with interdisciplinary negotiations and model-based reasoning characteristic of ongoing scientific research. This, at its most basic level, supports teachers and students to engage with technological innovation as a form of scientific literacy. The teacher toolkit will support practitioners to visualize qubit states and facilitate learning activities that address how QC is an ongoing engineering endeavor, driven by societal needs for new technologies, and enabling QIS applications that young learners can authentically engage in. [1] Pennsylvania Technology and Engineering Standards (2020). https://www.education.pa.gov/Documents/Teachers-Administrators/Curriculum/Science%20Education/PA-Technology%20and%20Engineering%20Standards%20Grade%206-12.pdf [2] National Research Council. (2015). Guide to implementing the next generation science standards. National Academies Press. [3] National Governors Association. (2010). Common core state standards. Washington, DC. [4] Grossman, P., Compton, C., Igra, D., Ronfeldt, M., Shahan, E., & Williamson, P. (2009). Teaching practice: A cross-professional perspective. Teachers College Record, 111(9), 2055-2100.
The nascent but rapidly growing field of Quantum Information Science and Technology has led to an increased demand for skilled quantum workers and an opportunity to build a diverse workforce at the outset. In order to meet this demand and encourage women and underrepresented minorities in STEM to consider a career in QIST, we have developed a curriculum for introducing quantum computing to teachers and students at the high school level with no prerequisites. In 2022, this curriculum was delivered over the course of two one-week summer camps, one targeting teachers and another targeting students. Here, we present an overview of the objectives, curriculum, and activities, as well as results from the formal evaluation of both camps and the outlook for expanding QCaMP in future years.
As practical quantum computers near fruition and the market for quantum technologies rapidly expands, there is a growing need for a quantum workforce prepared to carry quantum computation into the mainstream. Once primarily the domain of researchers and theoreticians, there has been a steady expansion of quantum information science into undergraduate coursework to build the requisite expertise in optics, computer science, engineering, and materials science that will be needed in the quantum industries of the near future. In order to better prepare students for post-secondary quantum coursework, it is important to scale up quantum education at the secondary level. This article details the work done at The University of Texas at Austin to pilot the first full-year high school course in optics-based quantum computing and to transition the course to a dual-enrollment model under the OnRamps distance education umbrella at The University of Texas at Austin in which college-aligned content is delivered to high schools across the state. Within this program, we are laying the groundwork for reaching a greater number of underrepresented students and improving participation in STEM fields through a unique combination of innovative pedagogy, technological-enhancement, and continuing professional development to deepen the expertise of high school teachers that deliver quantum computing coursework.
As quantum computers are becoming available for experiments, their enormous potential is being recognized among college communities. The goal of introducing quantum computing in college level computer science programs is becoming attractive. However, this goal comes with opportunities and challenges. of the challenges is that quantum computing appears to require substantial background in physics as well as in computer science. However, it is hard to convince students to major in these two fields. Computer Science students with a minor in physics can also be considered. Several alternative curriculum structures are possible. A non-consecutive two-course framework is proposed here. A course on Introduction to Quantum Computing may be offered to sophomore level students. This introductory course may teach fundamental ideas about quantum computing with basic concepts behind BQP (Bounded Error Quantum Polynomial) and related topics. This introductory course may be followed up by some physics courses (on related topics such as quantum mechanics) and some computer science courses. Then, a senior level course on Advanced Quantum Computing may be offered that may include some well-known algorithms (such as Shor's Algorithm for Quantum Factorization and Grover's Algorithm for Quantum Search) and their implementation and practices on some simulators (such as QuIDE from http://www.quide.eu/) or some prototype quantum processors (such as IBM's prototype quantum processors). For advanced level courses, some course materials are available from various sources (such as MIT OpenCourseWare). The greater challenge would be in teaching the introductory course mentioned earlier that motivates students towards investing time and efforts in learning quantum computing and related physics, math and computational topics. The challenges of teaching the introductory course should not be underestimated. Some flexible strategies can be suggested for this course so that the biggest challenges can be overcome. Some initial assessments of the students may help adjusting the introduction strategies with student's preparation. What is recommended is that the instructor should be able to adjust the coverage of topics, rigor and depth of treatment. That is, the introductory course should not be rigidly defined. It should be recognized that the main emphasis of the introductory course is actually instilling motivations and curiosity in student's mind about potentials of quantum computing through adaptive teaching of some selected topics where traditional digital computers do not provide tractable solutions. Ideally a balance could be achieved among aspects of depth of treatment, rigor, inspiration, motivation and coverage of topics. Students should be able to realize that the emerging quantum computing technology would be able to provide elegant solutions to some of the classical intractable problems combining ideas from physics, math and computer science in an innovative way. One size fits all is not a good approach and discussion of issues may help us face the challenges better by pragmatically considering a range of possible alternatives. Resources that are currently available may also need to be reviewed for the purpose of introducing quantum computing adequately.
Quantum computing is an emerging field with growing implications across science and industry, making early educational exposure increasingly important. This paper examines how quantum computing concepts can be introduced into high-school STEM curricula within existing structures to enhance foundational learning in mathematics, computer science, and physics. We outline a modular integration strategy introducing key quantum ideas into standard courses, leveraging open-source educational resources to ensure global accessibility. Emphasis is placed on educational opportunity and equity: the approach is designed to be inclusive and to bridge current curricular gaps so that students worldwide can develop basic quantum literacy. Our analysis demonstrates that integrating quantum topics at the secondary level is feasible and can enrich STEM learning.
This paper explores the integration of quantum computing (QC) into STEM curriculum education at higher education institutions, focusing on the dual objectives of workforce training and advancing cutting-edge research into curriculum development and hands-on labs. As the field of quantum computing rapidly evolves, there is a pressing need to equip minority students from diverse backgrounds with the skills necessary to participate in this transformative industry.The paper explores the process of developing a robust QC curriculum that combines theoretical foundations with practical, hands-on learning opportunities in personalized learning environments. It highlights initiatives aimed at equipping students with the skills necessary for conducting groundbreaking research in quantum computing. Through partnerships with academic institutions and industry collaboration, these programs aim to provide students with real-world exposure and mentorship. The findings emphasize the importance of inclusive education in the preparation of a diverse workforce capable of contributing to the future of quantum computing, innovation and application.