Research Articles
Climbing Jacob's Ladder: A Modern Guide to Systematic Improvement of Density Functionals
This article provides a comprehensive overview of Jacob's Ladder, the foundational metaphor in Density Functional Theory (DFT) that classifies exchange-correlation functionals in a hierarchy of increasing accuracy and complexity.
Validating Quantum Chemistry Results: A Practical Framework for Benchmarking Against Classical Methods
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for validating quantum chemistry computations against established classical methods.
Quantum Error Correction Thresholds: A 2025 Analysis of Codes, Performance, and Clinical Research Implications
This article provides a comprehensive analysis of noise thresholds for leading quantum error correction (QEC) codes, a critical determinant for achieving fault-tolerant quantum computing.
Beyond the Hype: Evaluating Quantum Measurement Strategies for Chemical Hamiltonian Accuracy in Drug Discovery
This article provides a comprehensive evaluation of measurement strategies for quantum chemistry Hamiltonians, a critical bottleneck in applying quantum computing to drug and materials discovery.
Noise Resilience in Quantum Algorithms: A Comparative Analysis of VQE and Quantum Phase Estimation for Biomedical Applications
This article provides a comprehensive comparative analysis of the Variational Quantum Eigensolver (VQE) and Quantum Phase Estimation (QPE) algorithms, focusing on their performance and resilience under the noisy conditions of...
Optimizing Surface Codes for Biased Noise: A Path to Practical Quantum Chemistry Simulations
This article explores the critical role of tailored quantum error correction, specifically surface code modifications, in enabling fault-tolerant quantum computing for chemical and pharmaceutical applications.
Noise Resilience in Quantum Chemistry: A Comparative Analysis of UCCSD and Hardware-Efficient Ansatze for NISQ-Era Drug Discovery
This article provides a comprehensive analysis of the noise resilience of the Unitary Coupled Cluster Singles and Doubles (UCCSD) and hardware-efficient ansatze when implementing the Variational Quantum Eigensolver (VQE) on...
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.