This technology provides an iterative quantum approach for finding approximate solutions to difficult combinatorial optimization problems. Unlike methods that repeatedly begin from an unbiased state, the algorithm uses the best solution identified during earlier iterations to guide subsequent searches. The approach could improve solution quality while limiting circuit complexity, variational training, and quantum-device feedback. It
Researchers at Oak Ridge National Laboratory have developed a non-invasive method for detecting and mapping spin defects in advanced materials at the nanoscale. The technology uses a quantum sensing approach to identify and characterize spin-active defects that may be difficult or impossible to observe using conventional optical techniques. By enabling high-resolution measurements of defect density,
Quantum communication systems require reliable methods for generating and distributing entangled photons at higher rates and with greater consistency. This technology leverages an advanced entanglement source architecture, combining time-based quantum encoding with a novel frequency-management approach to improve entanglement distribution performance. The innovation is designed to support quantum networking applications that depend on high-quality heralded
Accurate quantum chemical simulations are critical for predicting molecular and material behavior but achieving high levels of precision can require computational resources beyond the reach of current quantum hardware. This technology uses a hybrid quantum-classical workflow that enhances simulation accuracy by combining quantum-generated molecular calculations with advanced classical post-processing. The approach improves prediction fidelity while
High-fidelity quantum chemical simulations often require computational accuracy that exceeds the practical capabilities of today’s quantum hardware. This technology provides a hybrid quantum-classical approach that improves the accuracy of quantum simulations by combining quantum-generated results with advanced classical processing. The method enables more precise prediction of chemical and physical properties without increasing quantum hardware requirements,
This is a system for monitoring and securing quantum and hybrid quantum-classical technologies by identifying deviations between expected and observed system behavior. The technology addresses challenges in detecting faults, noise, and potential interference at the interface between quantum and classical components. It enables real-time integrity assessment and response, improving the reliability and trustworthiness of advanced
A cross-platform execution framework enables the orchestration of workflows between classical and quantum computing resources, addressing challenges in integrating emerging quantum systems into existing computing environments. This technology improves how diverse computing resources are utilized by enabling concurrent and asynchronous task execution and flexible workload distribution. This approach supports more efficient processing of complex computational
This technology introduces a new approach for the generation of continuous variable cluster states for measurement-based quantum computing in a compact and scalable optical system. It leverages a different degree of freedom to reduce the required quantum resources needed for scalability by using independently addressable spatial modes to multiplex sources of entangled light into a
This technology introduces a structured approach for designing advanced quantum error-correcting codes that improve reliability in quantum computing systems. By enabling controlled interactions between distinct quantum phases and engineered boundaries, the method allows multiple logical units to be encoded efficiently within a single architecture. This addresses key challenges in scaling quantum systems by improving error
A software architecture that enables integration of quantum computing capabilities into existing high-performance computing (HPC) environments, addressing challenges in coordination, workflow management, and usability. By providing a unified framework for hybrid execution, the technology allows organizations to leverage quantum resources alongside classical systems without major workflow disruption. This approach improves accessibility to advanced computing capabilities
This technology is a smart sample holder designed for electron microscopy that improves how electrical signals are delivered to and collected from samples. It addresses common challenges with connection reliability and inefficient signal handling in conventional holders. By enabling faster setup, improved signal quality, and integrated data handling capabilities, this approach enhances experimental workflows and
A feedback-controlled electron beam modulation method enables electron microscopy imaging while reducing damage to beam-sensitive samples. Many materials—such as biological structures, soft materials, and advanced nanoscale systems—can degrade under high electron dose during imaging. This technology dynamically adjusts the effective electron dose during scanning so that regions most susceptible to damage receive reduced exposure. By
