Quantum Gates for Data Transmission Across Quantum Interfaces
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Solution Overview
Problem
Current quantum computing models, based on classical physics, are inadequate for miniaturization beyond the atomic and electronic/photonic scales, as they fail to effectively utilize quantum effects and superposition, leading to limitations in data processing and networking at smaller scales.
Innovation Solution
Development of quantum computational gates and circuits operating at picotechnologies, femtotechnologies, attotechnologies, and yoctotechnologies, leveraging quantum properties such as superposition and entanglement to enable quantum processing and communication at cosmological scales, using n-qubit addressability, unitarity, and reversibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If classical computing models based on Universal Turing Machine are used, then computing can be performed at macroscopic scales, but the models become inadequate and cannot efficiently operate at atomic and electronic/photonic scales due to miniaturization limits
Solution Approach 1:
The patent replaces the classical mechanical computing model (Universal Turing Machine) with a quantum computing model that operates on quantum mechanical principles. This substitution enables efficient operation at atomic and electronic/photonic scales by using quantum effects such as superposition and entanglement, thereby resolving the inadequacy of classical models at these scales.
2Productivity
If quantum effects are used for efficient operation at atomic and electronic/photonic scales, then computing efficiency improves, but the system complexity increases due to the need for quantum gates and circuits
Solution Approach 1:
The patent segments the quantum computing system into discrete quantum gates and circuits that can be individually designed and analyzed. This segmentation allows for modular construction of quantum systems, making the complexity manageable by breaking down complex quantum operations into simpler gate-level components.
Solution Approach 2:
The patent develops universal quantum gate sets that can perform multiple quantum operations. These universal gates serve as building blocks that can be combined to create various quantum circuits, reducing the overall system complexity by providing a standardized interface for quantum computation.
3Productivity
If data is transmitted across quantum interfaces using quantum gates, then exponential processing capability is achieved, but the data transmission and reconstruction process becomes more complex
Solution Approach 1:
The patent introduces quantum gates as intermediary elements that facilitate data transmission across quantum interfaces. These gates act as mediators that transform and transmit quantum information between different quantum systems, enabling exponential processing capability while managing the complexity of direct quantum-to-quantum data transmission.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quantum algorithms to perform unitary operations with arbitrary accuracy, switch, store, and retrieve an exponential number of inputs using a polynomial number of qubits, and execute quantum algorithms, overcoming classical computational limits by utilizing quantum parallelism and entanglement.
Implementation Method 1
utilizing quantum properties such as superposition and entanglement to enable quantum computing and networking beyond classical limits
Implementation Method 2
utilizing quantum properties such as superposition and entanglement to enable quantum computing and networking beyond classical limits
Data Source
AI summary
Quantum gaps exist between an origin and a destination that heretofore have prevented reliably utilizing the advantages of quantum computing. To predict the outcome of instructions with precision, the input data, preferably a qubit, is collapsed to a point value within the quantum gap based on a software instruction. After collapse the input data is restructured at the destination, wherein dynamics of restructuring are governed by a plurality of gap factors as follows: computational self-awareness; computational decision logic; computational processing logic; computational and network protocol and logic exchange; computational and network components, logic and processes; provides the basis for excitability of the Gap junction and its ability to transmit electronic and optical impulses, integrates them properly, and depends on feedback loop logic; computational and network component and system interoperability; and embodiment substrate and network computational physical topology.