An Explorative Cross Sectional Comprehensive Survey On Quantum Computi

Bonisiwe Shabane

-Jan 2, 2026, 7:11 PM

an explorative cross sectional comprehensive survey on quantum computi

Quantum computers have been called the Ultimate Computer a decisive leap in technology with profound implications for the entire world. Quantum computers might usher in an entirely new age for the economy, society, and our way of life. It is an emerging field that leverages the principles of quantum mechanics to perform computations that are infeasible for classical computers. As quantum systems advance beyond early prototypes, it is critical to assess their capabilities compared to classical computers and artificial intelligence. This survey aims to provide a comprehensive, cross-sectional analysis of the current state of quantum computing, exploring its advantages over traditional computing paradigms and its potential societal impacts. It also goes through the various algorithms used in this paradigm and how they can aid in our needs.

We conducted an extensive literature review of peer-reviewed articles and industry reports to gather data on quantum computing advancements, applications, and challenges. The survey examines quantum hardware platforms, algorithms, use cases across industries, and comparisons to classical and AI systems. Our findings indicate that quantum computers excel at specific tasks like optimization and simulation, offering exponential speedups over classical methods for certain problems. While not universally superior to AI or traditional computers, quantum systems enable new approaches to longstanding challenges in fields such as materials science, finance, and machine learning. However, significant technical hurdles remain before realizing large-scale, fault-tolerant quantum computers. Quantum computing represents a paradigm shift in computational power, with far-reaching implications across science, industry, and society.

While challenges persist, continued advances in quantum technologies promise to unlock new realms of problem-solving capability beyond the reach of classical computers and AI systems. Strategic investment and interdisciplinary collaboration will be crucial to fully harness quantum computing’s transformative potential. This is a preview of subscription content, log in via an institution to check access. Price excludes VAT (USA) Tax calculation will be finalised during checkout. Dyakonov M. Will we ever have a quantum computer?

Berlin: Springer; 2020. Bungum B, Selstø S. What do quantum computing students need to know about quantum physics? Eur J Phys. 2022;43(5): 055706. dblp is humbly asking you for your kind support.

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Thank you very much! Please note: Providing information about references and citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. If citation data of your publications is not openly available yet, then please consider asking your publisher to release your citation data to the public. For more information please see the Initiative for Open Citations (I4OC). Please also note that there is no way of submitting missing references or citation data directly to dblp. arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. This multifaceted strategy, which merges AI and security oversight, is critical in constructing a durable and dependable IoT setting, imperative for the smooth assimilation and realization of the potential advantages offered by IoT technology. Quantum computing technology presents fundamentally distinct approaches to computational challenges, allowing for superior problem-solving efficiency compared to conventional classical computations (Rieffel and Polak, 2000; Gyongyosi and Imre, 2019).

AI TRiSM, within the realm of Quantum computing will addresses the changing landscape of AI merging with quantum computing advancements. A quantum computer is a (real or theoretical) computer that exploits superposed and entangled states. Quantum computers can be viewed as sampling from quantum systems that evolve in ways that may be described as operating on an enormous number of possibilities simultaneously, though still subject to strict computational constraints. By contrast, ordinary ("classical") computers operate according to deterministic rules. (A classical computer can, in principle, be replicated by a classical mechanical device, with only a simple multiple of time cost. On the other hand (it is believed), a quantum computer would require exponentially more time and energy to be simulated classically.) It is widely believed that a quantum computer could perform some calculations exponentially...

For example, a large-scale quantum computer could break some widely used public-key cryptographic schemes and aid physicists in performing physical simulations. However, current hardware implementations of quantum computation are largely experimental and only suitable for specialized tasks. The basic unit of information in quantum computing, the qubit (or "quantum bit"), serves the same function as the bit in ordinary or "classical" computing.[1] However, unlike a classical bit, which can be in... The result of measuring a qubit is one of the two states given by a probabilistic rule. If a quantum computer manipulates the qubit in a particular way, wave interference effects amplify the probability of the desired measurement result. The design of quantum algorithms involves creating procedures that allow a quantum computer to perform this amplification.

Quantum computers are not yet practical for real-world applications. Physically engineering high-quality qubits has proven to be challenging. If a physical qubit is not sufficiently isolated from its environment, it suffers from quantum decoherence, introducing noise into calculations. National governments have invested heavily in experimental research aimed at developing scalable qubits with longer coherence times and lower error rates. Example implementations include superconductors (which isolate an electrical current by eliminating electrical resistance) and ion traps (which confine a single atomic particle using electromagnetic fields). Researchers have claimed, and are widely believed to be correct, that certain quantum devices can outperform classical computers on narrowly defined tasks, a milestone referred to as quantum advantage or quantum supremacy.

These tasks are not necessarily useful for real-world applications. For many years, the fields of quantum mechanics and computer science formed distinct academic communities.[2] Modern quantum theory was developed in the 1920s to explain perplexing physical phenomena observed at atomic scales,[3][4] and digital... As physicists applied quantum mechanical models to computational problems and swapped digital bits for qubits, the fields of quantum mechanics and computer science began to converge. In 1980, Paul Benioff introduced the quantum Turing machine, which uses quantum theory to describe a simplified computer.[8] When digital computers became faster, physicists faced an exponential increase in overhead when simulating quantum dynamics,[9]...

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Berlin: Springer; 2020. Bungum B, Selstø S. What Do Quantum