Cyberculture of quantum memory-driven computing integrates emerging technologies of parallel solution for time-consuming combinatorial problems, which eliminates transactions between memory and ALU-processor. A scalable map of research relevant to quantum cyberculture is aimed at creating parallel algorithms for SoC Design and Test. The innovative proposal in terms of quantum memory-driven computing architecture is represented, that is based on the leverage of photon transactions on the electron structure where read-write operations are fulfilled in the absence of logic, corresponds to entanglement and superposition commands.
Cyberculture of quantum memory-driven computing integrates emerging technologies of parallel solution for time-consuming combinatorial problems, which eliminates transactions between memory and ALU-processor. A scalable map of research relevant to quantum cyberculture is aimed at creating parallel algorithms for SoC Design and Test. The innovative proposal in terms of quantum memory-driven computing architecture is represented, that is based on the leverage of photon transactions on the electron structure where read-write operations are fulfilled in the absence of logic, corresponds to entanglement and superposition commands.
Cyberculture of quantum memory-driven computing integrates emerging technologies of parallel solution for time-consuming combinatorial problems. A scalable map of research relevant to quantum cyberculture is aimed at creating parallel algorithms for SoC Design and Test. The memory-driven innovation architecture of quantum computing is presented, which is defined by the leverage of photon read-write transactions on the structure of electrons in the absence of logic, associated with superposition and entanglement. A class of logical X-functions and their qubit models is introduced, that are technologically feasible for test, diagnosis, and fault simulation of SoC components. The architecture of services for design, test and verification of digital devices based on qubit models of logical primitives is described. A service for fault-free circuits simulation based on the qubit coverage of functional primitives is given. The models, cubit data structures and methods are focused and simulated on the classical computers by leveraging unitary coding binary states.
Memory-driven computing for the design and test of digital devices is considered. One of the possible solutions to the problem of design and test theory and methods of quantum memory-driven computing on the classical computers for their subsequent application in all fields of human activity is proposed. Engineering-focused definitions of computing types are presented, including quantum one, which leverages the superposition and entanglement notions, and also memory-driven computing. The necessity of joint and parallel solving the problem of the creation of a market-accessible quantum computer and development of quantum-focused applications and cloud services is explained. Examples of quantum memory-driven design and test of digital circuit fragments are presented. A method for synthesis and minimization test for the black-box functionality, based on a qubit derivative matrix and sequencer for searching a quasioptimum coverage, is proposed.
This paper presents a comprehensive review of quantum computing and the technological foundations of quantum processors. Quantum computing represents a transformative computational paradigm that leverages the fundamental principles of quantum mechanics—such as superposition, entanglement, and quantum interference—to solve complex problems that are intractable for classical computers. At the core of this paradigm lies the quantum processor, a specialized hardware system designed to initialize, control, and measure quantum bits (qubits) through precise gate operations and coherent interactions. The survey examines the essential theoretical concepts underlying quantum computation and provides a structured comparison of leading quantum processor platforms. Prominent architectures, including superconducting circuits, trapped-ion systems, and photonic implementations, are analyzed in terms of their physical mechanisms, scalability, coherence properties, and engineering challenges. Each platform offers distinct advantages and faces specific technical limitations related to noise, error correction, and fabrication complexity. In addition to reviewing hardware developments, this study highlights key obstacles in advancing quantum processors toward large-scale, fault-tolerant systems. Issues such as qubit stability, error mitigation, thermal management, and system integration are discussed to present a realistic perspective on current progress. Performance indicators including gate fidelity, coherence time, connectivity, and scalability are used to compare architectural approaches. The objective of this paper is to provide a clear and organized synthesis of recent advancements in quantum computing hardware, thereby offering researchers and practitioners a foundational reference to support continued innovation and development in this rapidly evolving field.
This paper proposes a novel approach to distributed memory access leveraging the phenomenon of quantum entanglement. The core concept is to construct a distributed network of quantum processors interconnected via entangled states. This architecture aims to circumvent the limitations of conventional data transfer methodologies in traditional computer architectures, specifically addressing the bottleneck inherent in distance-based data transmission. The proposed system offers the theoretical possibility of superluminal data access – accessing data stored on any processor within the network instantaneously through entanglement correlation, without requiring physical data transfer. We detail the theoretical framework, outlining the key components and operational principles of such a system. The focus is on the architectural design and the mathematical formulation of the entanglement-based memory access protocol, highlighting the potential for fundamentally transforming data processing paradigms. This work presents a foundational exploration of this concept, paving the way for future research into realizing entanglement-driven distributed memory. ---
Quantum computation draws from theoretical physics, functional analysis, and algorithmic computer science, acting as an interdisciplinary field. The main aim of research in quantum computing is to demonstrate that certain tasks can be completed faster using quantum computers than traditional ones. For this, quantum memory is crucial to developing synchronization tools that coordinate various processes in quantum computers and quantum gates that preserve the identity of quantum states, such as superpositions, and methods to convert preset photons into on-demand photons. Quantum memories are essential for large-scale photonic quantum computing systems, enabling the coherent manipulation, buffering, and retiming of photonic signals. Unlike classical memory, quantum memory allows states to exist in quantum superposition, offering greater flexibility for quantum algorithms than conventional storage systems. While traditional Read-Only Memory (ROM) tends to be slower, quantum computing facilitates the development of novel computer types that operate with qubits as input states, leading to increased storage capacity. This paper proposes a quantum-based ROM (QROM) architecture that utilizes quantum-based binary logic operations and presents an analysis of the systems performance, focusing on heat generation and speed parameters.