Implementation Of Logic Operations Research Articles

Implementation of logic operations and bioanalysis based on DNA allostery-regulated nanometallic catalysis

This work reports exquisite logic manipulation of nanometallic catalysis of DNA-templated silver nanoclusters (DNA-AgNCs) based on designative input-responsive DNA allostery and distinct inhibition effects of duplexes and triplexes on catalytic activity. A series of molecular logic gates (YES, OR, INHIBIT, XOR and MAJORITY) are presented, which are capable to control the catalytic activity of DNA-AgNCs in logic manners. Distinct from most of previous DNA-AgNC-based logic gates, its catalytic effect is adopted as the output signal instead of variable fluorescence, which offers a novel and robust approach for fabrication of molecular logic gate. One of the logic systems performs multiple bioanalysis of cardiac biomarkers (cardiac troponin I and myoglobin). Hence, it is worthwhile to anticipate intelligent detection of more significant disease biomarkers will be attained with the low-cost and universal platform. Moreover, the integration of programmable DNA reaction and aptamer recognition endows DNA-AgNCs catalytic specificity, which will give us hints how to devise smart DNA-functionalized nanomaterials.

Peptide-based system for sensing Pb2+ and molecular logic computing

Peptides with recognition, assembly, various activities exhibit strong power and application prospects in sensing, material science, biomedicine. However, peptide-based sensing and expanding application is still at an early stage. Herein, a peptide-based sensing and logic system was developed for highly sensitive and selective detection of Pb2+ and implementation of logic operations. Our Pb2+ assay method was ultra-rapid (less than 1 min), direct, simple with detection limit of 0.75 nM. Flexibility and scalability of peptide-based solution system facilitated the execution of sensing and logic operations from simple to complex. This research will not only inspire discovery and comprehensive applications (such as sensing and assembly) of more functional peptides, but also provide more opportunities for development and design of peptide-based systems and molecular information technologies.

The difference logical operation for images in optical echo holography

In this paper, we consider the implementation of logical operations on images using the accumulated long-lived echo hologram. It is shown that the accumulated echo hologram could be used for the implementation of the set difference logical operation.

A control microarchitecture for fault-tolerant quantum computing

Quantum computers can solve problems that are inefficiently solved by classical computers, such as integer factorization. A fully programmable quantum computer requires a quantum control microarchitecture that connects the quantum software and hardware. Previous research has proposed a Quantum Instruction Set Architecture (QISA) and a quantum control microarchitecture, which targets Noisy Intermediate-Scale Quantum (NISQ) devices without fault-tolerance. However, fault-tolerant (FT) quantum computing requires FT implementation of logical operations, and repeated quantum error correction, possibly at runtime. Though highly patterned, the amount of required (physical) operations to perform logical operations is ample, which cannot be well executed by existing quantum control microarchitectures.In this paper, we propose a control microarchitecture that can efficiently support fault-tolerant quantum computing based on the rotated planar surface code with logical operations implemented by lattice surgery. It highlights a two-level address mechanism which enables a clean compilation model for a large number of qubits, and microarchitectural support for quantum error correction at runtime, which can significantly reduce the quantum program codesize and present better scalability.

The operation of combining sets for images in optical echo holography

The paper considers the implementation of logical operations with sets presented as images in the accumulated photon echo mode. It is shown that the photon echo mode may be used to perform the operation of combining sets.

The Operation of Conjunction for Signals in Optical Echo Holography

The implementation of logical operations on signals employing stimulated echo holography is examined for the case when it is excited by an information-carrying object laser pulse and a pulse that serves as a frequency filter. It is shown that a stimulated echo hologram can be used to implement a conjunction operation.

Reaction-Diffusion and Excitable Processors: A Sense of the Unconventional

Non-linear chemical and excitable media exhibit a wide range of space-time dynamic: from well known circular waves to self-localized excitations. If we take a resting medium and change concentration of reagents or other parameters then diffusive or phase waves are generated and spread all over the medium. The waves interact one with another and form either dissipative structure or a precipitate. All micro-volumes of the medium update their states (local concentrations of reagents) in parallel. Thus, the medium can be thought of as a massive parallel processor, where data and results of a computation are represented by concentration profiles of the reagents. A theory of reaction-diffusion processors is still under development. In the paper we give an account of our personal experience in design of reaction-diffusion and excitable processors, mathematical models and working prototypes. Various aspects of reaction-diffusion computing are illustrated by actual examples of parallel solutions of various problems from computational geometry, optimization on graphs and communication networks, control of mobile robots and implementation of logical operations. Prospective material base for fabrication of reaction-diffusion and excitable processors is also tackled.

A dynamical approach to logical decisions

We propose a first approximation to the modeling of cognitive decisions based on the theory of associative memories. The basic structure are the matrix memories of Anderson-Kohonen adapted to include the modulation of associations via tensorial preprocessing of inputs. This view admits an easy implementation of logical operations as matrix operators. From this “vectorial logic” springs a variety of models for fuzzy decision processes. Degrees of fuzziness are introduced at two different levels: (a) by the operators of modal logic, and (b) by using logical variables as vectors with projections inside the interval [0, 1]. The outcomes of this vectorial logic can be projected onto unit vectors yielding scalar difference equations. As examples we study the dynamics of contradictory self-referential systems and processes leading to competition between options. These models exhibit a variety of dynamical patterns that include stable steady states, oscillations, and deterministic chaos. © 1997 John Wiley & Sons, Inc.