Accurate molecular computations on near-term quantum hardware are critically limited by readout errors.
This analysis provides a comparative framework for researchers and drug development professionals to evaluate quantum error correction (QEC) codes for chemical simulations.
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...
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.
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...
This article provides a comprehensive guide for researchers and drug development professionals on achieving high-precision results from noisy quantum chemistry experiments.
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.
This article provides a comprehensive guide for researchers and drug development professionals on tackling the critical challenge of false minima in noisy Variational Quantum Algorithms (VQAs).
Selecting the right classical optimizer is a critical determinant of success for Variational Quantum Eigensolver (VQE) simulations in drug discovery and materials science.
This article explores the development and application of adaptive variational quantum algorithms (VQAs) for simulating molecular systems, a critical task for drug discovery and materials science.