Research Articles
Navigating Noisy Quantum Landscapes: Advanced Strategies to Overcome False Minima in Variational Quantum Algorithms
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).
Navigating the Noise: A Practical Guide to Quantum Optimizer Selection for Chemical Computations
Selecting the right classical optimizer is a critical determinant of success for Variational Quantum Eigensolver (VQE) simulations in drug discovery and materials science.
Adaptive Variational Quantum Algorithms: Overcoming Noise and Measurement Challenges for Molecular Systems
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.
Resilient Quantum Measurement Protocols for Accurate Chemical Hamiltonian Simulation
This article provides a comprehensive guide for researchers and drug development professionals on advanced measurement strategies for quantum simulation of chemical systems.
Noise-Resilient Quantum Machine Learning: Predicting Chemical Properties in the NISQ Era
This article explores the emerging paradigm of Quantum Machine Learning (QML) for predicting chemical properties, with a specific focus on overcoming the pervasive challenge of quantum hardware noise.
Advanced Measurement Strategies to Reduce Sampling Noise in VQE for Quantum Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on mitigating finite-shot sampling noise in the Variational Quantum Eigensolver (VQE).
Quantum Error Mitigation Protocols for Near-Term Chemistry Simulations: A Comprehensive Guide
This article provides a comprehensive overview of quantum error mitigation (QEM) protocols essential for performing reliable quantum chemistry simulations on today's noisy intermediate-scale quantum (NISQ) devices.
Hardware-Efficient Ansatz Design for Noisy Quantum Chemistry: Strategies for NISQ-Era Drug Discovery
This article provides a comprehensive guide to hardware-efficient ansatz (HEA) design for quantum chemistry simulations on Noisy Intermediate-Scale Quantum (NISQ) hardware.
Dynamical Decoupling Protocols: Boosting Accuracy in Quantum Chemistry Computations
This article explores the critical role of dynamical decoupling (DD) protocols in suppressing decoherence and enhancing the fidelity of quantum chemistry computations on noisy intermediate-scale quantum (NISQ) devices.
Noise-Aware Quantum Circuit Learning: Advancing Molecular Energy Calculations for Drug Discovery
Accurately calculating molecular energies is crucial for advancing drug discovery, yet remains a significant challenge for classical computers.