Jul 2026· 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT)· pp. 508-512· 0 citations· 22 references
Abstract
This paper examines quantum algorithms and their computational complexity through a unified framework combining mathematical modeling, system architecture, and empirical evaluation. Key complexity measures circuit depth, gate count, and query complexity are analyzed under NISQ constraints. A hybrid quantum classical optimization framework is introduced to improve efficiency and stability. Results show the full model achieves 94.2% accuracy with baseline runtime, while removing optimization lowers accuracy to 85.6% and increases runtime by 30%. Reducing qubits decreases cost but drops accuracy to 78.3%, and disabling error mitigation causes unstable performance at 70.1%. Comparative analysis indicates strong advantages of quantum algorithms for structured problems, especially in scalability and asymptotic complexity. However, performance remains sensitive to noise, limited qubits, and circuit depth, emphasizing the need for hardware–algorithm co-design.
This work analyzes how circuit design constraints can systematically reduce the measurement overhead associated with repeated evaluations of the candidate gate pool in adaptive algorithms by focusing on the Hadamard test circuit architecture, hardware-aware qubit connectivity, and problem-specific adaptive framework.
Quantum machine learning (QML) faces practical limitations due to noisy intermediate-scale quantum (NISQ) constraints, including noise, restricted qubit availability, and unstable optimization. This paper proposes HyQNet, a resource-aware hybrid quantum–classical framework designed to address these challenges through e...
Sudheer Reddy K., Hastimal Jangid, Usha Desai· 2026 International Conferenc...· 0 citations
A modular implementation in Qiskit that supports non-binary alphabets and incorporates several key enhancements, including a deterministic BBHT-inspired Grover search, domain expansion via ancillary qubits to stabilize amplitude amplification, and circuit-level optimizations that reduce overhead are developed.
R. Cantone, G. Falci, Simone Faro et al.· IEEE International Symposium...· 0 citations
This study provides an approximation of the quantitative effect and qualitative analysis of the effect of additive noise on quantum gates, thereby contributing to a deeper understanding of the challenges and potential solutions in quantum computing.
Rajnish Kumar, S. Arnon, T. Larsen· Electronics· 0 citations
This paper presents analytical estimates of logical error rates of advanced QEC codes across leading hardware platforms and distributed quantum computing systems using a simple but unified framework and demonstrates that the framework can be used to find the sweet spot design region of distributed QEC, which is critica...
This paper challenges the "one-size-fits-all" design paradigm by using Grammatical Evolution (GE) to automatically discover hardware-efficient, state-specific quantum circuits that can execute on today's NISQ devices.
Arinze Obidiegwu, Douglas Mota Dias, Emmanuel Obidiegwu et al.· Annual Conference on Genetic...· 0 citations
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