Abstract Quantum sensing (QS) is a rapidly developing field at the intersection of physics, biology, and nanotechnology. It holds great promise for improving how we detect biomolecules in health, diagnostics, and environmental monitoring, and this potential is reflected in the rapid development and growing interest in advanced biosensing technologies. Traditional sensing methods, while useful, often face limits in sensitivity, speed, and the ability to analyze tiny amounts or subtle changes in biomolecules. QS uses coherence, entanglement, and superposition to achieve much higher sensitivity and precision than classical techniques. These technologies rely on advanced platforms like nitrogen-vacancy centers in diamonds, quantum dots. They can measure tiny changes in magnetic fields, electric charges, or fluorescence signals caused by biomolecules like proteins, DNA, lipids, carbohydrates and metabolites. This review explains the fundamental principles behind QS and explores how various physical platforms are used to detect and study biomolecules. It highlights recent breakthroughs in detecting single molecules, monitoring enzymatic reactions in real time, and imaging biological structures with quantum-level detail. We also discuss how nanotechnology is powering the field, improving integration through nanoparticle coupling, microfluidics, and specialized bio interfaces to target and amplify signals in practical settings. This review discusses current efforts to overcome existing challenges and highlights future directions, including the development of quantum-enhanced clinical sensors, integration with artificial intelligence for data analysis, and hybrid quantum–classical sensing strategies. These advances are expected to accelerate the translation of quantum biosensing technologies from laboratory demonstrations to practical clinical and environmental applications in the coming decade.
Abstract Quantum sensing (QS) is a rapidly developing field at the intersection of physics, biology, and nanotechnology. It holds great promise for improving how we detect biomolecules in health, diagnostics, and environmental monitoring, and this potential is reflected in the rapid development and growing interest in advanced biosensing technologies. Traditional sensing methods, while useful, often face limits in sensitivity, speed, and the ability to analyze tiny amounts or subtle changes in biomolecules. QS uses coherence, entanglement, and superposition to achieve much higher sensitivity and precision than classical techniques. These technologies rely on advanced platforms like nitrogen-vacancy centers in diamonds, quantum dots. They can measure tiny changes in magnetic fields, electric charges, or fluorescence signals caused by biomolecules like proteins, DNA, lipids, carbohydrates and metabolites. This review explains the fundamental principles behind QS and explores how various physical platforms are used to detect and study biomolecules. It highlights recent breakthroughs in detecting single molecules, monitoring enzymatic reactions in real time, and imaging biological structures with quantum-level detail. We also discuss how nanotechnology is powering the field, improving integration through nanoparticle coupling, microfluidics, and specialized bio interfaces to target and amplify signals in practical settings. This review discusses current efforts to overcome existing challenges and highlights future directions, including the development of quantum-enhanced clinical sensors, integration with artificial intelligence for data analysis, and hybrid quantum–classical sensing strategies. These advances are expected to accelerate the translation of quantum biosensing technologies from laboratory demonstrations to practical clinical and environmental applications in the coming decade.
The ability to detect and characterize single molecules in their native environments is paramount for advancing fields ranging from fundamental biology to advanced materials science. Traditional single-molecule detection methods often face limitations in terms of sensitivity, spatial resolution, and the ability to perform measurements in situ, especially in complex biological matrices. This paper explores the transformative potential of quantum-enhanced nanosensors to overcome these limitations, enabling ultrasensitive single-molecule detection directly within living systems or operational devices. We review the fundamental principles of quantum phenomena, such as entanglement, squeezing, and quantum coherence, and discuss how they can be harnessed to push sensing capabilities beyond classical limits. Various architectures of quantum-enhanced nanosensors, including those based on nitrogen-vacancy (NV) centers in diamond, quantum dots, and optomechanical systems, are examined for their unique advantages in detecting minute perturbations caused by single molecules. The paper delves into methodologies for designing, fabricating, and functionalizing these nanosensors for specific targets, emphasizing strategies for achieving high spatial resolution and robust in situ operation. We present a theoretical framework for assessing the enhanced signal-to-noise ratio and reduced detection limits offered by quantum metrology. Potential applications span real-time monitoring of biochemical reactions, early disease diagnosis, and the development of next-generation analytical tools. Finally, the challenges and future directions for realizing widespread practical implementation of quantum-enhanced nanosensors for in situ single-molecule detection are critically discussed, highlighting the interdisciplinary efforts required at the intersection of quantum physics, nanotechnology, and life sciences.
Background: High-precision sensing is vital for modern technology, yet conventional sensors are fundamentally constrained by classical noise limits. Quantum sensing leverages principles of quantum mechanics, such as superposition and entanglement, to overcome these barriers, offering unprecedented sensitivity. This review comprehensively analyzes the current state of quantum sensor technology, focusing on its underlying physical principles, emerging applications, and the pathway toward industrial maturation.Methods: We synthesize findings from key research areas, detailing the foundational quantum systems like Nitrogen-Vacancy (NV) centers in diamond and advanced optical techniques. The paper reviews the theoretical methods used to achieve sub-shot-noise performance and discusses the system-level engineering challenges necessary for practical deployment, particularly concerning microwave control and optical readout. We also assess the current landscape of standardization efforts for quantum technologies.Results: Significant breakthroughs are highlighted in both biomedical and environmental sensing. Applications range from tracking cellular redox-status using electron-paramagnetic resonance to ultra-sensitive salinity measurements. The analysis confirms that quantum sensing provides superior resolution compared to classical counterparts, unlocking new capabilities in in-vivo and real-time monitoring.Discussion: While offering transformative potential, widespread adoption faces hurdles, including the maintenance of quantum coherence in ambient environments and the high cost and complexity of current instrumentation. Future efforts must focus on miniaturization, integration with classical systems, and standardized fabrication protocols. Quantum sensing represents the next-generation technological paradigm for metrology.
Quantum sensors emerged among quantum technologies as the ones with promising potential applications in the near future. This perspective reviews two leading quantum sensing platforms and their advancements toward biological applications: quantum light sources and color centers in diamonds. Quantum light, including squeezed states and N00N states, allows enhanced phase measurements by surpassing the classical shot noise limits. This advantage can be exploited in several contexts, enabling improved resolution and sensitivity, which are particularly valuable in biological contexts where traditional high-intensity illumination could damage or alter delicate samples. In parallel, color centers in diamonds, specifically nitrogen-vacancy and silicon-vacancy centers, also emerged as promising for sensing applications due to their high sensitivity and biocompatibility. These sensors enable detailed intracellular measurements, such as temperature detection, and show potential for measuring magnetic fields of biological origin. Despite these advancements, significant challenges remain in translating these technologies from a controlled laboratory environment to practical, widely applicable devices for diverse biological applications. Overcoming these challenges is crucial for unlocking the full potential of quantum sensors in the biological field.
The rapid advancements in technology and scientific research have led to an unprecedented demand for precise and reliable measurement systems. Traditional sensors, while highly effective in many domains, often face limitations in terms of sensitivity, accuracy, and environmental robustness. Unlike classical sensors, these devices offer unparalleled sensitivity and precision, enabling measurements of physical quantities such as magnetic fields, gravitational waves, and temperature with quantum-level accuracy. This study presents a comprehensive performance evaluation of various quantum sensing technologies for blood-based disease biomarker detection. Using simulation data from the Quantum Toolbox in Python (QuTiP), key performance metrics, including coherence time, signal-to-noise ratio, dynamic range, and entanglement, were analyzed across biomarkers. Results indicate that Quantum Coherence sensors exhibit superior diagnostic potential due to their high coherence and signal fidelity, followed by Atomic Magnetometers and Nitrogen vacancy Centers, which offer a balance between sensitivity and practical deployment. While Quantum Dots demonstrated strengths in resolution and entanglement, they were limited by noise susceptibility. Superconducting Quantum Interference Devices, despite their established reliability, showed reduced performance in critical quantum metrics. Bridging the gap between laboratory validation and clinical deployment will require interdisciplinary collaboration, standardization, and large-scale clinical trials.
This paper explores the potential of quantum entanglement to revolutionize bio-information processing, specifically focusing on enhancing biological signal detection and decoding. Traditional methods in bioinformatics often rely on classical algorithms, which struggle to effectively capture and analyze subtle variations within complex biological systems. We propose a novel theoretical framework incorporating quantum entanglement, utilizing a specially designed quantum sensor to detect minute changes in biological signals. This approach offers a fundamentally new pathway for improving diagnostic accuracy and therapeutic efficacy. The core claim is that this quantum entanglement-based approach provides significantly enhanced sensitivity and precision compared to existing bio-information processing techniques. The research will investigate the principles of entanglement, its potential applications within biological systems, and the development of a prototype quantum sensor for real-world testing. This paper outlines the theoretical basis, proposed mechanism, and initial experimental considerations for this groundbreaking investigation.
Quantum sensors and metrology harness quantum phenomena—such as superposition, entanglement, and squeezing—to achieve precision measurements beyond classical limits. This review presents an overview of the fundamental principles underlying quantum sensing, including quantum coherence, entanglement-assisted measurement, and quantum-enhanced interferometry. Various quantum sensor platforms are discussed, including atomic clocks, nitrogen-vacancy (NV) center magnetometers, superconducting quantum interference devices (SQUIDs), optomechanical sensors, and trapped-ion systems. We explore their operational mechanisms, performance metrics, and technological implementations. Comparative analyses highlight sensitivity, spatial resolution, bandwidth, and environmental robustness. Advances in materials, control techniques, and hybrid architectures are examined, and emerging applications in navigation, geophysics, medical imaging, and fundamental physics are reviewed. Finally, future prospects for scalable and robust quantum metrology are discussed.