Current methods for quantum computing can suffer from non-convergence to the global minimum due to local minima

The gap

Evidence profile

Sourced from the future-work section and future work and stated research gap of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• 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.

  generalfuture-work sectionevidence 5/5
  Keywords: paper suggests future research focus developing energy-efficient quantum
• 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][2]. Unlike classical bits, qubits can exist in multiple

  generalfuture workevidence 5/5
  Keywords: quantum computing classical ijsmt applications international technology science https article principles journal qubits including systems
• Convergence and efficiency proof of quantum imaginary time evolution for bounded order systems (2026) · Communications Physics · doi

  Current methods for quantum computing can suffer from non-convergence to the global minimum due to local minima, critical slowing down, or exponential resource scaling. There is a need for a method that can provide convergence guarantees without critical slowing down. Quantum imaginary time evolution is proposed to fill this gap.

  generalstated research gapevidence 5/5
  Keywords: current methods quantum computing suffer non-convergence global minimum

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