Quantum File Archiving Using Superdense Qubit Encoding
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Solution Overview
Problem
Existing methods for data archiving are inefficient in terms of resource utilization, particularly in quantum computing, as they require a large number of classical bits to store data, which can be optimized using quantum mechanical superdense coding.
Innovation Solution
Employing superdense coding to encode data in qubits, reducing the number of qubits required for storage compared to classical bits, enabling efficient archiving and retrieval of data in quantum computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If classical encoding is used to store data, then the data can be stored using classical bits, but the number of bits required is large, leading to inefficient resource utilization
Solution Approach 1:
The patent replaces the classical mechanical/bit-based storage system with a quantum mechanical system using qubits and superdense coding protocols. This substitution enables storing two classical bits of information in a single qubit, directly reducing the quantity of storage units needed and improving storage efficiency.
2Quantity of substance
If quantum-mechanical superdense coding is used to encode data, then the number of qubits required for storage is reduced, but the encoding and decoding processes become more complex
Solution Approach 1:
The system performs preliminary actions by pre-establishing entangled quantum states and preparing the quantum storage infrastructure before data archiving is needed. This allows the superdense coding protocol to be executed efficiently during the actual archiving process, managing the complexity through advance preparation.
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
Superdense coding allows for data archiving that requires fewer qubits than classical bits, optimizing storage efficiency and reducing the physical resources needed for long-term data storage.
Implementation Method 1
The embodiments employ a quantum mechanical mechanism referred to as superdense coding (or superdense encoding). Briefly, superdense coding is a QM encoding protocol that stores data in qubits.
Data Source
AI summary
One embodiment includes a method for quantum-mechanically archiving data. The method includes receiving, by a quantum computing device (QD), a request to store the data. The data may be associated with a file identifier (ID). A set of bits encodes the data in a classical encoding and the set of bits has a first cardinality. In response to receiving the request to store the data, generating, the QD may generate, based on a superdense coding protocol, a quantum-mechanical (QM) encoding of the data via a set of qubits that has a second cardinality that is less than the first cardinality. The QD may cause a generation of a data structure that encodes an association between the file ID and the set of qubits. The QD may further cause a storage of the data structure.


