aqora

Emerging Trends in Quantum Computing: From Theory to Real World Applications

Faisal Javed, Maria Aslam

Quantum computing (QC) has shifted from purely theoretical constructs to experimental platforms approaching practical application. Recent advancements in qubit coherence, error correction, quantum algorithms, and hardware scalability have enabled the first prototypes of quantum advantage in select tasks. This article reviews emerging trends in quantum computing—from theoretical foundations to real-world implementations—highlighting progress in hardware (superconducting qubits, trapped ions, topological qubits), software (quantum algorithms, hybrid quantum-classical frameworks), and application domains (cryptography, optimization, quantum simulation, and materials design). We analyze challenges that remain—noise, error rates, decoherence, scalability—and discuss prospective pathways for integrating quantum computers into industry-scale applications. Insights from recent experimental demonstrations and roadmap studies are synthesized to project a near-term outlook for QC adoption.Quantum computing (QC) has shifted from purely theoretical constructs to experimental platforms approaching practical application. Recent advancements in qubit coherence, error correction, quantum algorithms, and hardware scalability have enabled the first prototypes of quantum advantage in select tasks. This article reviews emerging trends in quantum computing—from theoretical foundations to real-world implementations—highlighting progress in hardware (superconducting qubits, trapped ions, topological qubits), software (quantum algorithms, hybrid quantum-classical frameworks), and application domains (cryptography, optimization, quantum simulation, and materials design). We analyze challenges that remain—noise, error rates, decoherence, scalability—and discuss prospective pathways for integrating quantum computers into industry-scale applications. Insights from recent experimental demonstrations and roadmap studies are synthesized to project a near-term outlook for QC adoption.

International Research Journal of Advanced ScienceJun 30, 20220 citations

Quantum computing and algorithms

Author 1 - Mr. K. Suresh Babu Author 2 : Dr. T. P. Anish Author 3 : Dr. Cornelius K

Dec 3, 20250 citations

Applied Algorithms

Elena Yndurain

S ome quantum computing algorithms are used to either solve a practical problem or to perform a specific task or subroutine, bridging the gap between theoretical algorithms and their applicability in everyday life. Applied quantum computing algorithms go beyond theoretical purposes to address real-world problems or applications, offering tangible advantage over classical computing.

Chapman & Hall/CRC eBooksJan 23, 20250 citations

QUANTUM COMPUTING AND ALGORITHMS

Mr. K. Suresh Babu Dr. T. P. Anish Dr. Cornelius K

Mar 24, 20260 citations

Characterizing Grover search algorithm on large-scale superconducting quantum computers

M. AbuGhanem

Quantum computing is on the cusp of transforming the way we tackle complex problems, and the Grover search algorithm exemplifying its potential to revolutionize the search for unstructured large datasets, offering remarkable speedups over classical methods. Here, we report results for the implementation and characterization of a three-qubit Grover search algorithm using the state-of-the-art scalable quantum computing technology of superconducting quantum architectures. To delve into the algorithm's scalability and performance metrics, our investigation spans the execution of the algorithm across all eight conceivable single-result oracles, alongside nine two-result oracles, employing IBM Quantum's 127-qubit quantum computers. Moreover, we conduct five quantum state tomography experiments to precisely gauge the behavior and efficiency of our implemented algorithm under diverse conditions - ranging from noisy, noise-free environments to the complexities of real-world quantum hardware. By connecting theoretical concepts with real-world experiments, this study not only shed light on the potential of Noisy Intermediate-Scale Quantum Computers in facilitating large-scale database searches but also offer valuable insights into the practical application of the Grover search algorithm in real-world quantum computing applications.Quantum computing is on the cusp of transforming the way we tackle complex problems, and the Grover search algorithm exemplifying its potential to revolutionize the search for unstructured large datasets, offering remarkable speedups over classical methods. Here, we report results for the implementation and characterization of a three-qubit Grover search algorithm using the state-of-the-art scalable quantum computing technology of superconducting quantum architectures. To delve into the algorithm's scalability and performance metrics, our investigation spans the execution of the algorithm across all eight conceivable single-result oracles, alongside nine two-result oracles, employing IBM Quantum's 127-qubit quantum computers. Moreover, we conduct five quantum state tomography experiments to precisely gauge the behavior and efficiency of our implemented algorithm under diverse conditions - ranging from noisy, noise-free environments to the complexities of real-world quantum hardware. By connecting theoretical concepts with real-world experiments, this study not only shed light on the potential of Noisy Intermediate-Scale Quantum Computers in facilitating large-scale database searches but also offer valuable insights into the practical application of the Grover search algorithm in real-world quantum computing applications.

arXiv:2406.16018Scientific ReportsJan 8, 202534 citations

QUANTUM COMPUTING: ALGORITHMS, APPLICATIONS AND FUTURE ASPECTS

Mrs. Sri Lavanya Sajja Dr. L. Sherly Puspha Annabel Dr. Chatrapathy K

Mar 10, 20260 citations

Quantum Computing Algorithms and Real-World Applications

Related papers

Quantum Computing Algorithms and Real-World Applications

Related papers