Research Articles
Noise Robustness in Quantum Machine Learning: A Comprehensive Comparison of Quantum Convolutional vs. Quanvolutional Networks
This article provides a systematic analysis of noise robustness in two prominent hybrid quantum neural networks (HQNNs)—Quantum Convolutional Neural Networks (QCNNs) and Quanvolutional Neural Networks (QuanNNs)—in the context of Noisy...
Benchmarking Quantum Optimizers: A Performance Evaluation for Noisy VQE Landscapes in Biomedical Research
This article provides a comprehensive performance evaluation of classical optimizers for Variational Quantum Eigensolver (VQE) algorithms operating under the finite-shot sampling noise of Noisy Intermediate-Scale Quantum (NISQ) devices.
Benchmarking Noise Resilience in Quantum Neural Networks: Frameworks and Applications for Drug Discovery
This article provides a comprehensive framework for benchmarking noise resilience across Quantum Neural Network (QNN) architectures, tailored for researchers and professionals in drug development.
Mitigating Readout Errors in Quantum Molecular Computations: Strategies for Resilient Chemistry Simulations
Accurate molecular computations on near-term quantum hardware are critically limited by readout errors.
Quantum Error Correction Codes for Chemistry: A 2025 Comparative Analysis for Drug Development
This analysis provides a comparative framework for researchers and drug development professionals to evaluate quantum error correction (QEC) codes for chemical simulations.
Optimizing Variational Quantum Algorithms Under Depolarizing Noise: A Practical Guide for Biomedical Research
This article provides a comprehensive guide for researchers and drug development professionals on tuning Variational Quantum Algorithms (VQAs) for performance under depolarizing noise, a dominant challenge in Noisy Intermediate-Scale Quantum...
Noise-Adaptive Optimization for Quantum Computational Chemistry: Strategies for Robust VQE and QAOA on NISQ Hardware
This article provides a comprehensive guide for researchers and drug development professionals on leveraging noise-adaptive optimization to enhance the performance of quantum computational chemistry on Noisy Intermediate-Scale Quantum (NISQ) devices.
Overcoming the Winner's Curse: A Guide to Bias Correction in Noisy Quantum Chemistry Simulations
This article addresses the critical challenge of the 'winner's curse' bias in Variational Quantum Eigensolver (VQE) simulations for quantum chemistry, a phenomenon where finite measurement shots cause significant overestimation of...
Noise Mitigation and Calibration Techniques for Reliable Quantum Chemistry on Near-Term Hardware
This article provides a comprehensive guide for researchers and drug development professionals on achieving high-precision results from noisy quantum chemistry experiments.
Mitigating Barren Plateaus in Deep Quantum Chemistry Circuits: A Unified Theory and Practical Solutions
This article provides a comprehensive guide for researchers and drug development professionals tackling the barren plateau (BP) problem in variational quantum circuits for chemistry applications.