Research Articles
Beyond Brute Force: Strategies to Minimize Operator Pool Size for Enhanced Measurement Efficiency in Drug Discovery
This article addresses the critical challenge of optimizing operator pool size to maximize measurement efficiency in biomedical research and drug development.
Minimal Complete Operator Pools for ADAPT-VQE: A Guide to Efficient Quantum Chemistry Simulations
This article provides a comprehensive guide to minimal complete operator pools for the ADAPT-VQE algorithm, a leading method for quantum chemistry simulations on near-term quantum hardware.
Strategies for Reducing CNOT Depth in ADAPT-VQE Circuits: A Guide for Quantum Chemistry Simulations
Reducing the CNOT gate depth of quantum circuits is a critical challenge for implementing the ADAPT-VQE algorithm on current NISQ-era hardware.
Shot-Efficient ADAPT-VQE: Reducing Quantum Measurement Overhead for Practical Drug Discovery
This article explores the critical challenge of quantum measurement overhead in the Adaptive Variational Quantum Eigensolver (ADAPT-VQE), a promising algorithm for molecular simulation in drug development.
Commutativity-Based Grouping for Hamiltonian Measurement: Strategies to Overcome the Quantum Measurement Bottleneck in Drug Development
Efficiently estimating the expectation value of complex Hamiltonians is a critical bottleneck in variational quantum algorithms, particularly for quantum chemistry and drug discovery applications on near-term quantum hardware.
AIM-ADAPT-VQE: A Shot-Efficient Measurement Protocol for Quantum Drug Discovery
This article explores the Adaptive Informationally Complete Measurement (AIM) protocol for the Adaptive Derivative-Assembled Problem-Tailored Variational Quantum Eigensolver (ADAPT-VQE), a pivotal advancement for applying quantum computing to drug discovery.
Optimizing Gradient Measurements in Adaptive VQE: Advanced Strategies for Quantum Chemistry and Drug Discovery
Adaptive Variational Quantum Eigensolvers (ADAPT-VQE) are promising for molecular simulation on near-term quantum devices but face a critical bottleneck: the overwhelming measurement overhead required for gradient-based operator selection and parameter...
AIM-ADAPT-VQE: How Informationally Complete Measurements Are Revolutionizing Quantum Chemistry for Drug Discovery
This article explores the groundbreaking integration of informationally complete generalized measurements with the ADAPT-VQE algorithm, a synergy that dramatically reduces the quantum resource overhead essential for practical molecular simulations on...
Qubit-ADAPT-VQE: A Hardware-Efficient Path to Quantum Advantage in Drug Discovery
This article explores Qubit-ADAPT-VQE, an adaptive variational quantum algorithm that constructs hardware-efficient ansatze directly on quantum processors.
Variance-Based Shot Allocation: Maximizing Quantum Circuit Efficiency for Computational Drug Development
This article explores variance-based shot allocation, a critical technique for optimizing quantum measurement resources in the Noisy Intermediate-Scale Quantum (NISQ) era.