In this presentation are discussed some problems, relevant with application of information technologies in nano-scale systems and devices. Some methods already developed in quantum information technologies may be very useful here. Here are considered two illustrative models: representation of data by quantum bits and transfer of signals in quantum wires.
In this presentation are discussed some problems, relevant with application of information technologies in nano-scale systems and devices. Some methods already developed in quantum information technologies may be very useful here. Here are considered two illustrative models: representation of data by quantum bits and transfer of signals in quantum wires.
In the last decade quantum information theory and technology evolve and show their great potential.There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent.The best known example is Quantum Key Distribution (QKD), though there are quantum nonlocality (entanglement), quantum teleportation, communication complexity and many more.The quantum information technologies permit by using quantum representation of data, to collect much bigger, more varied and precise information, as well as quantum data bank creation, which can be effectively treated by usage of relevant quantum algorithms.For creation of quantum databases, two methods will be deal with: One is based on quantum numbers usage for processing various parametrical values; the second where the database will be presented as its quantum model.On the basis of quantum information technology approach the new methods of possible improvement of nanoquantum sensory systems effectiveness is discussing in the recent paper.Multiparametral and multifunctional nature of sensors and their networks was taking into account.Nano micro sensor systems integrate and interface can be implemented through scalable homogeneous, or heterogeneous hardware integration technologies in order to advance the miniaturisation, functionality and reliability of the sensor, processor, actuator and communication functions.Power autonomy (consumption and supply) is a common issue.In the medium term, there is growing industrial interest to integrate nanosensors in smart (intelligent) microsystems, mainly due to an increase in sensitivity, device simplification and associated cost reduction.
In the last decade quantum information theory and technology evolve and show their great potential.There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent.The best known example is Quantum Key Distribution (QKD), though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more.The quantum information technologies permit by using quantum representation of data, to collect much bigger, more varied and precise information, as well as quantum data bank creation, which can be effectively treated by usage of relevant quantum algorithms.For creation of quantum databases, two methods will be dealt with: One is based on quantum numbers usage for processing various parametrical values (attributes of data bank); next, the database will be presented as its quantum model.On the basis of quantum information technology approach the new methods of possible improvement of nano micro sensory systems effectiveness is discussing in the recent paper.Multiparametral and multifunctional nature of sensors and their networks was taking into account.Nano micro sensor systems integrate and interface multiple core technologies and related devices to implement a variety of functions.They can be implemented through scalable homogeneous, or heterogeneous hardware integration technologies, in order to advance the miniaturisation, functionality and reliability of the sensor, processor, actuator and communication functions.Power autonomy (consumption and supply) is a common issue.In the medium term, there is growing industrial interest to integrate nanosensors in smart (intelligent) microsystems, mainly due to an increase in sensitivity, device simplification and associated cost reduction.
In this note is touched upon an application of quantum information science (QIS) in nanotechnology area. The laws of quantum mechanics may be very important for nano-scale objects. A problem with simulating of quantum systems is well known and quantum computer was initially suggested by R. Feynman just as the way to overcome such difficulties. Mathematical methods developed in QIS also may be applied for description of nano-devices. Few illustrative examples are mentioned and they may be related with so-called fourth generation of nanotechnology products.
Due to the rapid advances made in Nano-Biotechnology, optical control of molecular dynamics and quantum computation, there is an increasing need to understand the fundamental structure, from the systems theoretical point of view, of the control and observation of quantum mechanical systems for designing advanced sensors and actuators. In this presentation we start with a discussion of the design, synthesis, and control of engineering problems and how the advances of technology helping to solve complex engineering problems. We proceed to discuss the recent trends in quantum computation and quantum computer. Then, we present the differences between the quantum control and measurement problems and the classical control and measurement problems. We conclude with a list of recent applications of quantum phenomena to build new sensors and other systems for information acquisition.
Information is a physical. Physical systems register and process information. These facts generated enormus interest in the development of novel quantum tecnologies, especially because the construction of smaller electronic devices ultimately leads to a consideration of quantum mechanical effects in electronic and computer desingns. The notion of the classical bit of information theory was formally pushed into the realm of the quanta with the introduction of the quantum bit or qubit, in the seminal works of Deutsch (Deutsch, 1985) and Shor (Shor, 1994). They demostrated that, indeed, controlled multipartite qubit interference effects could provide the means for a radical new way of computing, allowing the computation of many intractable computational problems, such as the factoring of large number or exact simulation of large quantum systems. The field of experimental and theoretical research in quantum information and computation has emerged as very important player in the understanding of quantum phenomena the both the basic and technological levels. This has attracted the attention of numerous researchers with backgrounds ranging from computer science, mathematics and engineerin, to the physical sciences, and we now have an interdisciplinary field where great efforts are being made in order to build devices that allow the progressing of information at a quantum level. A concise introduction to the field of quantum information and quantum computation is presented. This stars with the bassic definitions of bits, quantum registers, through to the universal gate-set for building the universal quantum computer, from a quantum network model of computation. The work shows how two-qubit gates suffice for quantum computation, emphasing the power of the quantum circuit representation for entagling and disentagling quantum states. This leads to the “no-cloning theorem”, which leads us to many interesting applications, such as quantum cryptography. Two alternative approaches or performing quantum computation are also described i) the one-way or measurement based quantum computer method, and ii) holonomic or geometric quantum computation. Following this, quantum entaglement quantification is highlighted, particulary its usefulness as a communication resource, in order to describe some of its most celebrated practical applications to date: quantum teleportation, cryptography, dens coding, and data compression. Deutsch’s concept of quantum parallelism is enphasized in order to gain insight into the potential for efficiently solving certain classically intratable algorithms. A subject central to the field of QIP- quantum decoherence- is then introduced.. Possible ways to overcome it, in particular quantum error correction, are discussed. A descriptios of some of the currently available hardware of the practical implementation of quantum computation is provided with a discussion of the main physical quantum bits that are currently employed (or proposed) for a such a purpose.