To make the algorithm classically efficient

The gap

Evidence profile

Stated in the future work and cells future research and cells research gap and abstract sections of the source papers, classified as general, spanning 4 journals. Those papers have been cited 1 times in total.

Supporting evidence — 6 representative gaps

• Quantum Computing: Principles, Evolution, Applications, and Future Prospects (2026) · International Journal of Science Strategic Management and Technology · doi

  Shabarimuthu P1, Vijay Anand R2 1UG Student, 2Associate Professor, Department of Computer Technology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, INDIA Email: [email protected] https://doi.org/10.55041/ijsmt.v2i3.307 Cite this Article: P, S. (2026). Quantum Computing: Principles, Evolution, Applications, and Future Prospects. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.307 License: reproduction in any medium, provided the original author(s) and source are properly credited. This article is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting use, distribution, and HIGHLIGHTS • Quantum computing leverages quantum mechanical principles such as superposition and entanglement for advanced computation. • Qubits enable exponential state representation, offering significant advantages over classical bits. • Key quantum algorithms like Shor’s and Grover’s demonstrate computational speedups over classical methods. • Rapid advancements in quantum hardware have led to experimental breakthroughs, including quantum supremacy. • Quantum computing has transformative applications in cryptography, healthcare, artificial intelligence, and optimization. • Challenges such as decoherence, error correction, and scalability limit current quantum systems. • The field is currently in the Noisy Intermediate-Scale Quantum (NISQ) era. • Ongoing research focuses on achieving fault-tolerant and scalable quantum computers. • Quantum computing is expected to complement classical systems and revolutionize multiple industries. © Author(s). This work is peer-reviewed, openly published, and permanently archived This article is openly accessible and reusable with proper attribution. https://ijsmt.org/, Email: [email protected] 1 International Journal of Science, Strategic Management and Technology Volume 02 Issue 03 March-2026 | ISSN: 3108-1762 (Online) | Impact Factor: 3.8 An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases GRAPHICAL ABSTRACT Figure 1: Graphical overview of quantum computing concepts and applications Figure 1 illustrates the core components of quantum computing, including qubits, quantum algorithms, applications, challenges, and future scope in a unified visual framework. ABSTRACT Quantum computing is an advanced computational paradigm that leverages principles of quantum mechanics, including superposition, entanglement, and interference, to process information more efficiently than classical systems [1].

  generalstated in future workevidence 5/5
  Keywords: quantum computing classical ijsmt applications international technology science https article principles journal qubits including systems
• Quantum wave atom transforms (2026) · Quantum Science and Technology · doi

  The paper suggests that future research could focus on improving the performance of quantum algorithms for solving wave equations and differential equations. - Future research could also explore the application of wave atom bases to other areas of quantum computing.

  generalstated in cells future researchevidence 5/5
  Keywords: paper suggests future research focus improving performance quantum
• A Comparative Analysis of Classical and Quantum Algorithms through the Environmental Impact Lens (2026) · International Journal For Multidisciplinary Research · doi

  The paper identifies a gap in understanding the environmental impact of computing, particularly in the context of quantum algorithms. - The study highlights the need for a more comprehensive analysis of the energy consumption of quantum algorithms.

  generalstated in cells research gapevidence 5/5
  Keywords: paper identifies gap understanding environmental impact computing particularly
• A Comparative Analysis of Classical and Quantum Algorithms through the Environmental Impact Lens (2026) · International Journal For Multidisciplinary Research · doi

  The paper suggests that future research should focus on developing more energy-efficient quantum algorithms. - The study implies that further analysis of the environmental impact of quantum computing is necessary. - The results suggest that exploring the application of quantum algorithms to exponential problem domains can lead to significant reductions in energy consumption.

  generalstated in cells future researchevidence 5/5
  Keywords: paper suggests future research focus developing energy-efficient quantum
• Few Single-Qubit Measurements Suffice to Certify Any Quantum State (2026) · cited 1× · doi

  To make the algorithm classically efficient. - To implement the technique in large-scale quantum devices. - To explore applications of the technique in quantum information science.

  generalstated in cells future researchevidence 5/5
  Keywords: make algorithm classically efficient implement technique large-scale quantum
• Quantum Computing Fundamentals and Emerging Implications for Information and Communication Systems: A Tutorial Review. (Quantum Riot) (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  Finally, the paper outlines current challenges, open questions,and future research directions in quantum computation and quantuminformation science, aiming to provide researchers and practitionerswith a consolidated conceptual foundation and forward-looking perspective.

  generalstated in abstractevidence 4/5
  Keywords: finally outlines current challenges open questions future directions quantum computation quantuminformation science aiming provide researchers

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