This article explores basis rotation grouping, an advanced quantum measurement technique that significantly enhances the efficiency and noise resilience of molecular energy estimation on near-term quantum hardware.
This article provides a comprehensive review of error mitigation techniques for the Variational Quantum Eigensolver (VQE) applied to molecular systems, a critical challenge in near-term quantum computing.
This article explores the critical role of symmetry-protected subspaces in mitigating the effects of quantum noise for practical quantum computational chemistry.
This article explores the emerging paradigm of intrinsic fault tolerance within quantum chemistry algorithms, a transformative approach poised to overcome the persistent challenge of noise in quantum computations.
This article examines the critical impact of environmental decoherence on the accuracy and reliability of molecular ground state calculations, a fundamental challenge in computational chemistry and drug discovery.
This article provides a comprehensive analysis of advanced mathematical frameworks designed to characterize, mitigate, and optimize against noise in quantum chemistry circuits.
This article explores the critical tradeoffs between computational resources, accuracy, and noise resilience in quantum simulations for chemical systems.
This article explores the critical challenges and current frontiers of quantum error correction (QEC) as they apply to computational chemistry and drug discovery.
The Barren Plateau (BP) phenomenon, where gradients vanish exponentially with system size, presents a fundamental challenge to scaling the Variational Quantum Eigensolver (VQE) for practical applications like drug development.
This article explores the critical challenge of quantum noise in achieving computational advantage for chemical and pharmaceutical applications.