On its revolutionary threshold, quantum sensing is creating potentially transformative opportunities to exploit intricate quantum mechanical phenomena in new ways to make ultrasensitive measurements of multiple parameters. Concurrently, growing interest in quantum sensing has created opportunities for its deployment to improve processes pertaining to energy production, distribution, and consumption. Safe and secure utilization of energy is dependent upon addressing challenges related to material stability and function, secure monitoring of infrastructure, and accuracy in detection and measurement. A summary of well‐established and emerging quantum sensing materials and techniques, as well as the corresponding sensing platforms that have been developed for their deployment is provided here. Specifically, the enhancement of existing advanced sensing technologies with quantum methods and materials is focused on, enabling the realization of an unprecedented level of sensitivity, placing an emphasis on relevance to the energy industry. The review concludes with a discussion on high‐value applications of quantum sensing to the energy sector, as well as remaining barriers to sensor deployment.
Quantum computing and simulations are creating transformative opportunities by exploiting the principles of quantum mechanics in new ways to generate and process information. It is expected that a variety of areas ranging from day-to-day activities to making advanced scientific discoveries are going to benefit from such computations. Several early stage applications of quantum computing and simulation have already been demonstrated, and these preliminary results show that quantum computing and simulations could significantly accelerate the deployment of new technologies urgently needed to meet the growing demand for energy while safeguarding the environment. Exciting examples include developing new materials such as alloys, catalysts, oxygen carriers, CO2 sorbents/solvents, and energy storage materials; optimizing traffic flows and energy supply chains; locating energy generation facilities such as wind and solar farms and fossil and nuclear power plants; designing pipeline networks for transporting hydrogen, natural gas, and CO2; and speeding up tasks such as seismic imaging and inversion, reservoir simulation, and computational fluid dynamics. In this review, we introduce different aspects of quantum computing and simulations and discuss the status of theoretical and experimental approaches. We then specifically highlight a growing number of application areas in the energy sector. We conclude by providing an analysis of high-value application directions to address energy sector challenges.
Fluorescent nanodiamonds (NDs) containing nitrogen vacancy centers (NV) have promising applications in quantum sensing, quantum computing, catalytic, and imaging applications. Functionalization of NDs with an ordered, porous coating can provide well-defined sites for ND immobilization and analyte interaction with the ND surface, furnishing a tunable environment for quantum applications and catalysis. Here, a facile strategy for functionalizing NV NDs with the biocompatible zeolitic imidazole framework-8 (ZIF-8) metal–organic framework (MOF) is demonstrated. The composites were structurally characterized by electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy, indicating the formation of well-dispersed ND three-dimensional structures supported by a MOF matrix. Crucially, the fluorescence and optically detected magnetic resonance properties were preserved following ZIF-8 encapsulation, while spin relaxometry studies indicate that MOF functionalization lengthens the spin longitudinal relaxation time T 1, a critical quantum parameter for sensing applications. We further demonstrate that the average number of NDs per MOF can be controlled by increasing the concentration of NDs used in the synthesis. The tunable design of NDs@MOF materials has important implications for quantum sensing, quantum computing, and related applications, and the synthetic strategy and optical characterization data presented here provide a foundation for future exploration of ND@MOF systems.
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