Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy

Abstract

The perception that mathematics is difficult has always persisted. Nevertheless, mathematics is such an essential component of STEM education. Quantum technologies are already having enormous effects on our society, with advantages seen across a broad variety of industries, including finance, aerospace, and energy. These innovations promise to transform our lives. Managers in the business and public sectors will need to learn quantum computing. Quantum algorithmic literacy may help increase mathematical understanding and enthusiasm. The current paper proposes that one possible approach is to present the information in a reasonably gentle but intelligible way, in order to excite individuals with the mathematics that they already know by extending them to acquiring quantum algorithmic literacy. A gentle introduction to the mathematics required to model quantum computing ideas, including linear transformations and matrix algebra, will be given. Quantum entanglement, linear transformations, quantum cryptography, and quantum teleportation will be used as examples to illustrate the usefulness of basic mathematical concepts in formulating quantum algorithms. These exemplars in quantum algorithmic literacy can help to invigorate people’s interest in mathematics. Additionally, a qualitative comparative analysis (QCA) framework is provided that teachers can utilize to determine which students to approach for remediation. This assists the teachers in dispelling any pupils’ uncertainty about mathematical concepts.

Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation

“…There is a dearth of professionals equipped with the skills to work at the intersection of quantum computing and AI [133]. Developing, operating, and maintaining quantum AI systems necessitate a blend of quantum mechanics, computer science, and machine learning expertise.…”

Education 4.0 and 5.0: integrating Artificial Intelligence (AI) for personalized and adaptive learning

“…As technology advances, the integration of AI in education is expected to become more sophisticated. Future prospects are given in Table 2 [103][104][105][106][107][108][109][110][111][112][113][114].…”

Application of STEM Technologies on the Example of the Problem of a Thread with a Load

“…The application of science, technology, engineering and mathematics (STEM) technologies has become a key area of educational process development in the last decades, especially in science and engineering education [1][2][3][4]. STEM technology is a rather new educational trend that describes an integrative approach to learning.…”

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