This paper examines various engineered and natural photonic and biophotonic systems. To analyze and design microscopic systems, we examine quantum phenomena which are exhibited and utilized. Quantum effects and photonic technology are widely used in biotechnology, communication, electronics, medicine and other applications. Basic research and discoveries in photonics and biophotonics are foundations of science and engineering in developing new knowledge bases, systems and technologies beyond currently available. Advances are needed in computer-brain interfacing, photoelectronics, optogenetics, neurophotonics, etc. With a focus on practical engineered devices, we perform quantum analysis and propose enabling solutions. Our three-fold objectives are: (1) Examine microscopic systems; (2) Study phenomena, effects and mechanisms possibly utilized by natural systems to accomplish sensing, communication and processing; (3) Devise novel microscopic systems by researching solutions which may enable a knowledge base and discover new sensing and processing capabilities comparable to exhibited by living organisms. Our transformative findings are substantiated by means of basic, applied and numerical studies which are consistent with experiments, biophysics and quantum mechanics.
This paper examines various engineered and natural photonic and biophotonic systems. To analyze and design microscopic systems, we examine quantum phenomena which are exhibited and utilized. Quantum effects and photonic technology are widely used in biotechnology, communication, electronics, medicine and other applications. Basic research and discoveries in photonics and biophotonics are foundations of science and engineering in developing new knowledge bases, systems and technologies beyond currently available. Advances are needed in computer-brain interfacing, photoelectronics, optogenetics, neurophotonics, etc. With a focus on practical engineered devices, we perform quantum analysis and propose enabling solutions. Our three-fold objectives are: (1) Examine microscopic systems; (2) Study phenomena, effects and mechanisms possibly utilized by natural systems to accomplish sensing, communication and processing; (3) Devise novel microscopic systems by researching solutions which may enable a knowledge base and discover new sensing and processing capabilities comparable to exhibited by living organisms. Our transformative findings are substantiated by means of basic, applied and numerical studies which are consistent with experiments, biophysics and quantum mechanics.
Various macroscopic communication, energy harvesting, sensing and processing devices operate by absorbing and emitting photons. For these devices, the Bose distribution equation provides the density of states, probabilities and other essential quantities of the electromagnetic radiation field. Fundamental limits are reached for scaled down mesoscopic devices which utilize conventional principles in order to ensure overall functionality. To enable overall performance and capabilities of sensing and processing devices, microscopic devices have being introduced. These devices operate utilizing quantum phenomena, and, must be examined using quantum mechanics. The fundamentals and device physics of microscopic and macroscopic devices are different. Engineered and natural microscopic photonic devices are examined in this paper.
For electronic, MEMS and electronic systems, we examine emerged technologies, research novel solutions and apply new transformative findings. To enable communication and processing schemes, nano and molecular technologies are applied. Transformative findings and developments are substantiated by analyzing and evaluating multi-physics microscopic systems. We advance physical foundations, engineering premises and information technology of classical, quantum and mixed sensing, communication and processing on quantum transductions. This paper examines fundamentals of quantum data processing on measurable and processable real-valued physical quantities. The developed paradigm: (1) Unifies and enables concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Consistent with the first principles of quantum informatics, communication and processing; (3) Coherently examines device physics, switching algebra, processing arithmetics and calculus; (4) Enables practical microscopic hardware solutions for electronics, MEMS and electronic systems.
Quantum life science is a rapidly developing interdisciplinary domain that combines concepts from quantum physics with biological sciences to investigate the underlying mechanisms of living systems at the molecular and cellular levels. The principles of quantum mechanics, including quantum tunneling, superposition, and entanglement, are believed to contribute to various biological processes and may help explain phenomena that cannot be fully understood through classical biological models. Studying these quantum effects in living organisms remains difficult because biological environments are highly dynamic and are affected by factors such as decoherence and energy dissipation, which can mask quantum behavior. To overcome these limitations, researchers are employing sophisticated tools and methodologies such as biological nano-scale quantum sensors, quantum-enhanced hyperpolarized MRI and NMR techniques, ultrafast two-dimensional electronic spectroscopy, and advanced computational modeling. The integration of these technologies is accelerating progress in quantum biology and related disciplines. As the field continues to evolve, it offers promising opportunities for advancing knowledge in genetics, molecular biology, medicine, biotechnology, and bioengineering, potentially leading to innovative diagnostic and therapeutic applications.
This paper studies fundamentals of quantum processing on measurable processable compatible observables in microscopic systems which undergo quantum state transitions. The aforementioned microscopic devices (processing primitives) form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Examining the first principles; (3) Researching device physics; (4) Fostering fundamentally-consistent and practical microscopic hardware solutions. Vertebrates and invertebrates exhibit extraordinary information processing which is performed by biomolecules and molecular aggregates. Information processing in natural systems has not been comprehended, while engineered quantum processing is an emerging paradigm. This paradigm focuses on developments of a great number of new solutions such as microscopic devices, processing arithmetics (calculi), system architectures, etc. The microscopic processing primitives must exhibit utilizable quantum-effect state transitions on observables which result in computable transforms from viewpoints of processing arithmetics, calculus and design. The reported paradigm: (i) Eases enormous challenges; (ii) Overcomes foremost inconsistencies of naive algorithmically-centric computing; (iii) Enables new inroads; (iv) Promises unprecedented processing capabilities ensuring far-reaching benchmarks; (v) Significant advances theory and practice of natural and engineered processing. Our findings support a broad spectrum of transformative research activities.
This paper studies fundamentals of classical, classical-quantum and quantum information technologies to advance sensing, data acquisition and computing. The overall goal is to define, analyze and evaluate classical and quantum-mechanical information measures pertained to data processing by low-power nanoelectronic devices, nanoICs, nano-waveguides, CMOS nanophotonics, etc. Electronic, optoelectronic and photonic systems operate on the electron- and photon-induced transductions. There are fundamental differences in physics, arithmetics, device- and system-level solutions as electrostatic and quantum phenomena are utilized. This paper analyzes multi-physics quantum↔classical processing. We enable a knowledge base in cognizant areas across computer science and engineering. Our findings enable existing and future communication, sensing, information fusion, computing and processing platforms. Consistent tools and practical schemes facilitate developments of novel engineering solutions, technical readiness, technological capabilities and commercialization capacities.
Abstract Quantum technologies leverage the laws of quantum physics to achieve performance advantages in applications ranging from computing to communications and sensing. They have been proposed to have a range of applications in biological science. This includes better microscopes and biosensors, improved simulations of molecular processes, and new capabilities to control the behavior of biomolecules and chemical reactions. Quantum effects are also predicted, with much debate, to have functional benefits in biology, for instance, allowing more efficient energy transport and improving the rate of enzyme catalysis. Conversely, the robustness of biological systems to disorder from their environment has led to proposals to use them as components within quantum technologies, for instance as light sources for quantum communication systems. Together, this breadth of prospective applications at the interface of quantum and biological science suggests that quantum physics will play an important role in stimulating future biotechnological advances. This review aims to provide an overview of this emerging field of quantum biotechnology, introducing current capabilities, future prospects, and potential areas of impact. The review is written to be accessible to the non‐expert and focuses on the four key areas of quantum‐enabled sensing, quantum‐enabled imaging, quantum biomolecular control, and quantum effects in biology.