What is Quantum Computing?
Over the past few decades, quantum computing has evolved from a purely theoretical research field into a rapidly advancing technological domain receiving significant global investment and development. Instead of processing information through traditional binary bits that can only exist in either the 0 or 1 state, quantum computers operate using qubits — units of information capable of existing in superposition states while exploiting quantum entanglement and interference to perform computations in ways that classical systems cannot replicate. This represents not merely an increase in computational speed, but an expansion of the very nature of computation itself.
These advantages offer remarkable potential applications across numerous fields, including the simulation of complex molecular systems for materials science and pharmaceutical research; the development of large-scale optimization algorithms; the construction of next-generation cryptographic and cybersecurity systems; and the support of machine learning models whose complexity exceeds the capabilities of current computing architectures. Around the world, research institutions, technology corporations, and governments are investing heavily in this field, while the demand for highly specialized human resources continues to far exceed the current supply.
Quantum computing is truly an interdisciplinary field. It requires the integration of theoretical physics foundations, rigorous mathematical thinking, programming skills, and the ability to approach practical engineering problems. Therefore, any comprehensive training program in this field must draw from multiple areas of knowledge, with physics serving as an indispensable foundation.
Physics – The Foundational Discipline of Quantum Computing
Quantum computing originates directly from quantum mechanics — the branch of physics developed to describe the behavior of matter and energy at microscopic scales. The core principles that empower quantum computers, from superposition and quantum entanglement to the operational mechanisms of quantum hardware such as superconducting qubits, ion traps, and quantum dots, are fundamentally rooted in theoretical physics and solid-state physics. To design efficient quantum algorithms, analyze quantum errors, or develop methods for simulating quantum systems, specialists must possess a deep understanding and proficient application of physical principles.
This does not imply that physics is the only pathway into quantum computing. Mathematics, computer science, and electronic engineering all contribute essential and irreplaceable knowledge to this field. However, for individuals seeking to deeply understand the physical nature of quantum systems, approach problems from first principles, and contribute meaningfully to both research and practical implementation, a physics-based education provides a particularly strong and comprehensive foundation.
Academic Pathway – From Fundamentals to Advanced Knowledge
The Quantum Computing specialization within the Physics undergraduate program for the 2025 admission cohort is systematically designed to guide students from foundational knowledge to advanced specialization, requiring a total of 134 credits for graduation.
During the initial stage, students are equipped with strong foundations in mathematics and natural sciences through courses such as Calculus, Linear Algebra, Probability and Statistics, along with a comprehensive sequence of General Physics subjects including Mechanics, Thermodynamics, Electromagnetism, Optics, and Modern Physics covering quantum, atomic, and nuclear physics. Introductory laboratory courses and orientation subjects are integrated from the earliest semesters to cultivate experimental thinking alongside theoretical understanding.
In the 25-credit core disciplinary phase, students deepen their expertise through courses including Complex Analysis, Mathematical Methods for Physics, Classical Mechanics, Quantum Mechanics I, Electrodynamics, Statistical Physics, Basic Electronics, and Programming Techniques. This stage establishes the mathematical and physical language necessary for approaching advanced quantum topics. Notably, the Programming Techniques course includes both theoretical and practical components, laying the groundwork for implementing computational algorithms in subsequent specialized courses.
The mandatory specialization block consists of 18 credits, including six core subjects: Computational Physics, Advanced Quantum Mechanics, Introduction to Solid State Physics, Quantum Optics, Quantum Field Theory, and Introduction to Quantum Computing. These courses provide a comprehensive theoretical framework for applied quantum mechanics and field theory while introducing students to the foundational concepts of modern quantum computing. In particular, Computational Physics and quantum computing courses integrate practical laboratory sessions, enabling students to implement algorithms and conduct simulations on quantum platforms rather than remaining solely at the level of abstract theory.
Within the elective module requiring a minimum of 30 credits, the program offers two parallel specialization tracks aligned with students’ career goals. The first track focuses on theoretical foundations and computational tools, featuring courses such as Computational Methods in Theoretical Physics, Approximation Methods in Quantum Mechanics, Foundations of Quantum Information Theory, Mathematics for Quantum Computing, Quantum Algorithms and Programming, Machine Learning and Applications, Quantum Estimation Theory, and Quantum Computing for Data Analysis. The second track emphasizes practical applications and quantum systems through courses including Quantum Simulation of Matter Systems, Foundations of Quantum Hardware Theory, Quantum Machine Learning, Quantum Security, Quantum Optimization, Post-Quantum Cryptography, and Quantum State Tomography. This diversity enables students to tailor their learning path according to their interests and strengths, ranging from theoretical research to practical technological development. The program concludes with a 10-credit Graduation Thesis, where students conduct in-depth research under direct faculty supervision, fostering independent research capabilities.
Educational and Research Capacity in Quantum Computing
The training capacity of the University of Science, Vietnam National University Ho Chi Minh City, is well established through its long-standing experience in Physics, Mathematics, and related natural science disciplines. In particular, the Faculty of Physics and Engineering Physics proactively approached the field of quantum computing even before the formal development of this academic program. The Faculty has organized numerous scientific conferences and specialized seminars on quantum technologies, attracting significant participation from lecturers, researchers, students, and industry partners. These activities have not only created academic exchange platforms but also contributed to building broad consensus within the scientific community regarding the necessity of establishing a formal training program in this field.
The program is delivered by a highly qualified faculty team trained at prestigious academic institutions across Vietnam, Japan, Germany, France, South Korea, Ireland, and Taiwan. Faculty members come from diverse disciplines — including theoretical physics, quantum physics, quantum optics, solid-state physics, mathematics, information technology, and data science — accurately reflecting the interdisciplinary nature of quantum computing. Many lecturers are actively engaged in research directly related to the program content, with scientific publications recognized both nationally and internationally.
In addition to experienced full-time faculty members, the program also involves visiting lecturers specializing in quantum physics and data science, enriching the curriculum and connecting students with current research trends. The diversity of academic backgrounds and research experiences among faculty members provides students with opportunities to approach the curriculum from multiple professional perspectives while receiving close guidance throughout their studies and graduation thesis projects.
Alongside domestic academic activities, faculty members are actively participating in international research collaborations on quantum technologies, with numerous studies presented at prestigious international scientific conferences. This vibrant research environment not only strengthens faculty expertise but also continuously updates the curriculum with the latest developments in the field. Notably, students and graduate learners of the Faculty are already actively participating in quantum-related research projects and achieving important results, demonstrating both the demand for and the capacity to absorb quantum knowledge among learners. This creates a favorable foundation for the effective operation of the formal training program.
Career Opportunities After Graduation
Graduates specializing in Quantum Computing within the Physics program will be equipped with a diverse skill set, including quantitative analytical thinking, complex systems modeling, scientific programming, and a deep understanding of quantum principles. These competencies are highly valued across various professional environments.
For academic and research pathways, graduates may pursue postgraduate and doctoral studies domestically or internationally at universities and research institutes specializing in theoretical physics, quantum information, materials science, and related disciplines. In application-oriented and technological fields, graduates may work as quantum engineers, researchers at technology companies and research centers, or contributors to quantum software and algorithm development projects. Furthermore, with integrated training in data analysis and machine learning, graduates may also pursue careers in data science, information security, and the broader digital technology industry.
Quantum computing remains a rapidly evolving field still in its developmental stage. This creates significant demands for adaptability and continuous self-learning, while simultaneously opening vast opportunities for individuals with strong foundational knowledge and a readiness to embrace challenges.
Conclusion
The Quantum Computing specialization within the Physics undergraduate program for the 2025 admission cohort is designed to train individuals who not only understand quantum computing at a superficial level, but who are capable of approaching the field from a rigorous scientific foundation and contributing meaningfully to the development of a discipline shaping the future. This program is intended for those who are serious about pursuing scientific inquiry and willing to invest in a sustainable and profound intellectual foundation.