Quantum sensing uses properties like superposition and entanglement to probe with remarkable sensitivity the properties of a system or its environment. It seems likely that some natural systems have evolved to exploit quantum sensing to help organisms derive information about their ambient conditions. There is also increasing interest in exploiting potential ‘quantum advantage’ in sensing and imaging of biological systems, including in medical diagnostics. There is much debate, however, about how (or even whether) the often weak signals survive complex and noisy biological environments. I will discuss strategies for investigating how any supposed quantum advantage might propagate through a biological system and how nature might have evolved to amplify weak signals.
Quantum sensing uses properties like superposition and entanglement to probe with remarkable sensitivity the properties of a system or its environment. It seems likely that some natural systems have evolved to exploit quantum sensing to help organisms derive information about their ambient conditions. There is also increasing interest in exploiting potential ‘quantum advantage’ in sensing and imaging of biological systems, including in medical diagnostics. There is much debate, however, about how (or even whether) the often weak signals survive complex and noisy biological environments. I will discuss strategies for investigating how any supposed quantum advantage might propagate through a biological system and how nature might have evolved to amplify weak signals.
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.
When the revolutionary conceptual structure for the description of the physical world which we know as quantum mechanics was first formulated nearly 90 years ago, and its predictions tested in the laboratory, most of the experiments in question were on systems which were both very well characterized and reasonably well isolated from their environments, such as single electrons and atoms, small molecules and near-perfect crystalline solids. While from the very start most physicists have taken it for granted that the formalism of quantum mechanics, when combined with appropriate system-specific information, can “in principle” account for all phenomena occurring in the physical world, including those usually regarded as the subject-matter of biology, until quite recently the overwhelmingly majority opinion has been that in a biological context the role of quantum theory is confined to elucidating the equilibrium structures of the relevant molecules and their reaction processes, and that subtle phenomena such as superposition and entanglement, of which we can now routinely exhibit spectacular effects at the level of a few well-isolated photons or atoms, play at most a very indirect role in any phenomena of biological interest. A major reason conventionally given for this view has been that biological systems, at least working ones, are by their very nature “warm and wet” – a phrase which in the physicist's lexicon translates to “prone to massive decoherence”; it looks as though any interesting superposition, say of different energy eigenstates of one's system, would be rapidly decohered by the ever-present, and usually microscopically very complex, environment.
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.
• A Perspective paper published in PNAS presents the scope and future research directions of quantum biology. • Focuses on quantum coherence and synchronization at macroscopic scales, rather than simply being a collection of unexplained phenomena. • Proposes three core open questions: the development of quantum probes, quantum-like classical systems, and the macroscopic amplification of microscopic quantum effects. [Quantum Biology Society] Generally, the "warm, wet, and noisy" environment that makes up living organisms is considered the most hostile condition for true quantum effects like entanglement or coherence to exist. However, elucidating how living organisms overcome these paradoxical limitations and utilize unique quantum wave-like properties for functional advantages is the very core of "quantum biology." Recently, a Perspective paper titled "What is quantum biology?" was published in the Proceedings of the National Academy of Sciences (PNAS), drawing the attention of the academic community. A research team including Gregory D. Scholes and Graham R. Fleming clearly declared that quantum biology is not simply a "grab bag of biological phenomena that cannot be fully explained quantitatively by current science." ■ 'Coherence' and 'Synchronization' Governing Life Phenomena The paper reviews existing representative studies, such as exciton spreading in photosynthesis and avian navigation (magnetic field sensing), focusing on the "coherence" and "resonance" phenomena occurring in vivo. According to the researchers, the evolutionary process finely tuned the local protein environments of chromophores to closely match electronic and vibrational energy gaps. This optimization of frequency resonance is strong evidence that living organisms actively utilize quantum mechanical entanglement and wave properties to gain macroscopic physiological advantages. Furthermore, they explained that noise does not merely act as a destructive factor that collapses quantum states; rather, it can play a beneficial role in amplifying minute quantum signals and assisting transport through "stochastic resonance" or "quantum ratchet" mechanisms. ■ 3 Core Open Questions for the Future of Quantum Biology The researchers proposed three core open questions that must be resolved to firmly establish quantum biology as an independent discipline and focus future research agendas. 1. Development of quantum probes: Measurement technologies called "quantum probes" are needed to clearly and sharply reveal the quantum functions hidden within complex biological systems. 2. Identification of quantum-like systems: It must be determined whether classical biological machineries have the potential to exhibit useful properties as if possessing a "quantum advantage" simply by mimicking quantum systems. 3. Amplification to the macroscopic scale: We must understand the missing link of how microscopic-scale quantum mechanical mechanisms are amplified to the biological scale, providing the foundation for new macroscopic functions. This paper clearly redefined the scope of quantum biology into categories including: ▲ interactions with fields such as light, magnetic, and electric fields; ▲ various forms of coherence phenomena; ▲ microscopic quantum dynamical systems including spin and proton tunneling; and ▲ complex systems that mimic quantum phenomena through networks. Experts anticipate that this study will serve as an important compass for future quantum biology research, going beyond merely confirming the physical laws of the microscopic world to asking how living organisms control and optimize quantum phenomena in macroscopic environments.
Achieving measurement precision beyond the standard quantum limit (SQL) is a fundamental object in quantum metrology. In this manuscript, we propose a streamlined protocol for weak signal sensing in a trapped-ion spin-oscillator system that simultaneously exploits detuned motional squeezing and spin-oscillator entanglement. By combining these two quantum resources, the phase accumulation in this spin system is significantly accelerated, as a result achieving an exponential improvement in the sensitivity over unsqueezed cases. Remarkably, we show that the significant metrological gain provided by our protocol persists in noisy environments, with the sensitivity remaining below the SQL. In particular, our protocol retains a distinct advantage in the short interrogation time regime, thus demonstrating the practical potential in quantum-enhanced sensing.
The nervous system probably cannot display macroscopic quantum (i.e. classically impossible) behaviours such as quantum entanglement, superposition or tunnelling (Koch and Hepp, Nature 440:611, 2006). However, in contrast to this quantum ‘mysticism’ there is an alternative way in which quantum events might influence the brain activity. The nervous system is a nonlinear system with many feedback loops at every level of its structural hierarchy. A conventional wisdom is that in macroscopic objects the quantum fluctuations are self-averaging and thus not important. Nevertheless this intuition might be misleading in the case of nonlinear complex systems. Because of a high sensitivity to initial conditions, in chaotic systems the microscopic fluctuations may be amplified upward and thereby affect the system's output. In this way stochastic quantum dynamics might sometimes alter the outcome of neuronal computations, not by generating classically impossible solutions, but by influencing the selection of many possible solutions (Satinover, Quantum Brain, Wiley & Sons, 2001). I am going to discuss recent theoretical proposals and experimental findings in quantum mechanics, complexity theory and computational neuroscience suggesting that biological evolution is able to take advantage of quantum-computational speed-up. I predict that the future research on quantum complex systems will provide us with novel interesting insights that might be relevant also for neurobiology and neurophilosophy.