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arXiv:1409.0950

Quantum metrology and its application in biology

Michael A. Taylor, Warwick P. Bowen

Published Sep 3, 2014• 3 citations
arXivHTMLPDF

Abstract

Quantum metrology provides a route to overcome practical limits in sensing devices. It holds particular relevance to biology, where sensitivity and resolution constraints restrict applications both in fundamental biophysics and in medicine. Here, we review quantum metrology from this biological context, focusing on optical techniques due to their particular relevance for biological imaging, sensing, and stimulation. Our understanding of quantum mechanics has already enabled important applications in biology, including positron emission tomography (PET) with entangled photons, magnetic resonance imaging (MRI) using nuclear magnetic resonance, and bio-magnetic imaging with superconducting quantum interference devices (SQUIDs). In quantum metrology an even greater range of applications arise from the ability to not just understand, but to engineer, coherence and correlations at the quantum level. In the past few years, quite dramatic progress has been seen in applying these ideas into biological systems. Capabilities that have been demonstrated include enhanced sensitivity and resolution, immunity to imaging artifacts and technical noise, and characterization of the biological response to light at the single-photon level. New quantum measurement techniques offer even greater promise, raising the prospect for improved multi-photon microscopy and magnetic imaging, among many other possible applications. Realization of this potential will require cross-disciplinary input from researchers in both biology and quantum physics. In this review we seek to communicate the developments of quantum metrology in a way that is accessible to biologists and biophysicists, while providing sufficient detail to allow the interested reader to obtain a solid understanding of the field. We further seek to introduce quantum physicists to some of the central challenges of optical measurements in biological science.

DOI
10.48550/arxiv.1409.0950

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Application of quantum imaging in biology In biology, one of the main challenges is achieving a balance between high precision and minimal invasiveness in measurements. With cutting-edge techniques, the primary limitations to experimental accuracy often stem not from device-related noise but from fundamental physical constraints. Since nature is the underlying source of these constraints, it makes sense to go to quantum mechanics, the most basic theory of matter, for a solution. Improved measurement performance may be possible through the application of quantum effects, particularly those pertaining to coherence. It offers useful tools that, at the very least, offer interesting technical solutions even when they don't fully display cohesive behaviors. One of the primary applications of quantum technologies is quantum metrology, which uses the non-classical state of light to measure physical properties with great resolution and sensitivity. For biological applications, the quantum state of light may be utilized for precision enhancement and quantum noise reduction. This explains how quantum metrology, and particularly quantum imaging, can be used to enhance picture quality, measure shifts in quantum scales in biological systems, and boost imaging precision and resolution using quantum light sources, devices, and protocols. In this study, we give a summary of the possible uses of quantum technology in biology and medicine. This review presents a comprehensive overview of how quantum technologies can be applied in biology and medicine. It also explores the latest developments in quantum biological imaging, quantum microscopy, and quantum materials, while discussing the challenges and opportunities these emerging technologies bring.
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Over the past few decades, medical imaging has revolutionized the way clinicians diagnose, monitor, and treat diseases. However, despite significant advancements in imaging resolution, contrast, and computational reconstruction, several challenges remain unresolved — especially in terms of early-stage detection, noise reduction, and functional imaging at the cellular or molecular level. In recent years, quantum physics has emerged as a disruptive force with the potential to drastically enhance medical imaging technologies through the application of its fundamental principles such as quantum superposition, entanglement, tunneling, and spin dynamics. This research explores the intersection of quantum mechanics and medical imaging engineering, with a primary focus on how quantum phenomena are being utilized to elevate the performance and capability of key imaging modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and optical-based quantum imaging. The study presents an in-depth analysis of how quantum concepts are applied in practice — such as the role of spin alignment and magnetic resonance in MRI, the use of entangled photon pairs in PET scanning, and the integration of quantum dots in high-contrast optical imaging. Beyond existing technologies, the paper investigates cutting-edge developments including quantum-enhanced sensors, quantum computing for real-time image reconstruction, and the promise of quantum artificial intelligence in image interpretation. By analyzing both theoretical frameworks and experimental findings, the study highlights the significant advantages that quantum technologies bring — such as improved spatial resolution, higher signal-to-noise ratio, and reduced patient exposure to radiation. Despite its promise, the integration of quantum physics into medical imaging is not without challenges. The research discusses limitations such as system decoherence, scalability, clinical costs, and the gap between laboratory research and clinical deployment. In conclusion, this paper argues that while still emerging, the application of quantum physics holds transformative potential for the future of diagnostic imaging, and could ultimately lead to more accurate, efficient, and personalized healthcare.