Quantum Computing Device Hybrid Memory Cube Data Center
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Solution Overview
Problem
Conventional processing hardware struggles to efficiently process large volumes of data at high speeds, as the volume of data generated exceeds improvements in processing ability.
Innovation Solution
A quantum computing device with a computation translation engine that includes a quantum compiler processor, syntax processor, and quantum translator engine, capable of receiving code blocks, compiling, parsing, and converting them into quantum assembly language for processing by a quantum computation engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional transistor-based computational hardware is used, then device simplicity and reliability are maintained, but processing speed and data handling capability are insufficient
Solution Approach 1:
The patent replaces conventional transistor-based mechanical/electronic computing systems with a quantum computing system that utilizes quantum mechanical phenomena (superposition, entanglement, quantum tunneling) to perform computations. The quantum processor uses qubits that can exist in multiple states simultaneously, enabling parallel processing capabilities that far exceed classical hardware speed limits.
Solution Approach 2:
The patent changes the fundamental operating parameters of computation from binary states (0 or 1) to quantum states that can be in superposition of multiple values simultaneously. This parameter change enables the system to process information in a fundamentally different way, achieving exponential speedup for certain computational tasks while maintaining software compatibility through the translation engine.
2Quantity of substance
If data volume increases, then more information can be stored and processed, but processing capability cannot keep up with the increasing data volume
Solution Approach 1:
The patent transitions from one-dimensional sequential processing in classical computers to multi-dimensional parallel processing in quantum systems. Through quantum superposition, the system can simultaneously explore multiple computational paths and data combinations, effectively adding dimensional capacity to data processing and enabling handling of vast data volumes at high speeds.
Solution Approach 2:
The quantum processor with its translation engine serves multiple functions: it can process different data types, execute various quantum algorithms, and interface with existing classical systems. This multi-functionality allows the system to handle diverse data volumes efficiently without requiring separate specialized hardware for each data processing task.
3Productivity
If quantum computing is implemented, then processing speed increases significantly, but system complexity and translation requirements increase
Solution Approach 1:
The patent introduces a translation engine as an intermediary layer between classical programming languages and the quantum processor. This translator converts high-level quantum algorithms into the specific quantum assembly language required by the hardware, abstracting away the complexity of quantum operations from the user while enabling high-speed quantum processing. The translator handles the complexity of qubit manipulation, gate operations, and quantum circuit optimization.
Data Source
AI summary
A quantum computing device configured to receive code written using one or more of a plurality of programming languages and convert the received code into quantum assembly language that can be executed by one or more quantum processing units of the quantum computing device. The quantum computing device also includes a hybrid memory cube storage device configured to function as storage for the high data throughput rates associated with the quantum processing units.