Quantum computing stands at the precipice of technological revolution, promising unprecedented computational capabilities to tackle some of humanity’s most complex problems. The field is highly collaborative and recent developments such as superconducting qubits with increased scaling, reduced error rates, and improved cryogenic infrastructure, trapped-ion qubits with high-fidelity gates and reduced control hardware complexity, and photonic qubits with exploring room-temperature quantum computing are some of the key developments pushing the field closer to demonstrating real-world applications. However, the path to realizing this promise is fraught with significant obstacles across several key platforms, including sensitivity to errors, decoherence, scalability, and the need for new materials and technologies. Through an exploration of various quantum systems, this paper highlights both the potential and the challenges of quantum computing and discusses the essential role of middleware, quantum hardware development, and the strategic investments required to propel the field forward. With a focus on overcoming technical hurdles through innovation and interdisciplinary research, this review underscores the transformative impact quantum computing could have across diverse sectors.

In this paper, we characterize and discriminate between normal and cancer cells from three different tissue types, liver, lung, and breast, using capacitance-voltage-based extracted set of parameters. Cells from each type of cancer cell line were suspended in a liquid media either individually or as mixtures with their normal counterparts. Empirically, normal cells were observed to exhibit higher dielectric constants when compared to cancer cells from the same tissue. Moreover, adding cancer cells to normal cells was observed to increase the capacitance of normal cells, and the extent of this increase varied with the type of tissue tested with the lung cells causing the greatest change. This shows that the cancer cells of different cell origin possess their own signature electrical parameters, especially when compared with their normal counterparts, and that cancer cell seems to affect normal cells in a different manner, depending upon the tissue type. It was also noticed that the cells (both cancer and normal) exhibited a higher dielectric value as per the following order (from least to most): breast, lung, and liver. The changes in electrical parameters from normal to cancer state were explained not only by the modification of its physiological and biochemical properties but also by the morphological changes. This approach paves the way for exploring unique electrical signatures of normal and their corresponding cancer cells to enable their detection and discrimination.

Electrical detection of biotic materials and their properties is always crucial in Biomedical Engineering. It emphasizes elaborate analysis of a certain disease diagnosis using electrical means which includes the study of electrical properties followed by detection, identification, and quantification of biotic entities. Proper and early detection of cells, which can be normal or cancerous, holds never-ending demand. This review emphasizes the electrical characterization methods in modeling and classification of cell properties. Moreover, standard methods have been highlighted and discussed to yield performance analysis. This study suggests that techniques presented for single-cell analysis (SCA) are always precise and hold great scope compared to those for cell mixture. SCA plays a promising role in disease diagnosis and treatment planning, as it not only detects the cells but also helps in identification. Distinct electrical-based cell detection techniques are highlighted, along with the pros and cons of various SCA devices. The content, in terms of methodologies and available techniques, of this review paper is useful to attract researchers working in this area.

The present work addresses high-performance Ruthenium Oxide (RuO₂) electrodes prepared by using a simple pulse electrodeposition method. For the comparison purpose, two different precursors, namely, ruthenium (III) nitrosyl sulphate (RuNS) and ruthenium trichloride (RuCl₃), were used in this study. The coatings were subjected to material characterisation such as Field Emission Scanning Electron Microscopy and Energy-Dispersive X-ray Spectroscopy, X-ray diffraction and Transmission electron microscopy as well as electrochemical characterisation such as Cyclic Voltammetry, Electrochemical Impedance Spectroscopy and charge/discharge. The RuNS–RuO₂ coating exhibited excellent specific capacitance (1724 F/g at 5 A/g) with a remarkable rate capability. This value is significantly higher (52%) than the value obtained for RuCl₃–RuO₂ electrode material at 5 A/g. The findings provide valuable information on the potential use of RuNS as a precursor for synthesising RuO₂ and pulse electrodeposition process to produce electrodes for supercapacitors.

This paper shows that we can print on paper simple high-frequency electronic devices such as resistances, capacitances or inductances, with values that can be changed in a controllable manner by an applied dc voltage. This tunability is achieved with the help of an ink containing functionalized carbon nanotubes and water. After the water is evaporated from the paper, the nanotubes remain steadily imprinted on paper, showing a semiconducting behavior and tunable electrical properties.