Quantum Annealing Computer Diagnostics Using Blockchain
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Solution Overview
Problem
Current fault diagnosis methods for computer systems are inefficient and time-consuming, often requiring skilled technicians and leading to ambiguous results, long debug times, and increased repair costs.
Innovation Solution
A system utilizing quantum annealing and a blockchain-based peer-to-peer network to quickly and accurately diagnose faults in computing devices by entangling qubits to generate diagnostic solutions based on historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fault diagnosis methods are used, then diagnostic solutions can be obtained, but the process is time-consuming and requires high skill levels
Solution Approach 1:
The patent replaces traditional mechanical/computational diagnostic systems with a quantum computing system that uses quantum annealing. The quantum computer processes fault diagnosis problems by initializing qubits to represent possible faults and using quantum mechanical processes to efficiently identify the root cause, dramatically reducing diagnosis time while maintaining or improving accuracy.
Solution Approach 2:
The patent transforms the fault diagnosis problem into a quantum-compatible format by changing parameters: representing faults as qubit states, encoding diagnostic knowledge as coupling strengths and biases, and using energy minimization to find solutions. This parameter transformation enables the quantum system to solve diagnostic problems more efficiently than classical methods.
2Reliability
If traditional fault diagnosis methods are used, then diagnostic solutions can be obtained, but repair costs increase due to ambiguous results and wrong repair actions
Solution Approach 1:
The quantum computing system replaces traditional diagnostic approaches with quantum annealing that provides more reliable and unambiguous results. By leveraging quantum superposition and entanglement, the system simultaneously evaluates multiple potential faults and converges on the correct root cause, reducing misdiagnosis and associated repair costs.
Solution Approach 2:
The patent implements a feedback mechanism where the quantum computer receives fault data, processes it through quantum annealing, and outputs diagnostic solutions that are fed back to guide repair actions. This closed-loop feedback ensures that repair actions are based on accurate quantum-computed diagnoses, reducing wrong repairs and associated costs.
3Productivity
If quantum annealing is used for fault diagnosis, then diagnosis time is reduced, but system complexity increases
Solution Approach 1:
The patent uses an intermediary layer that translates classical fault diagnosis problems into quantum annealing formulations and interprets quantum results back into actionable diagnostic solutions. This intermediary handles the complexity of quantum system management, allowing the core diagnostic function to achieve high speed without requiring end users to directly manage quantum system complexity.
Solution Approach 2:
The patent segments the fault diagnosis system into distinct functional modules: fault data collection, quantum problem formulation, quantum annealing execution, and result interpretation. This segmentation isolates the quantum processing complexity to a dedicated module, allowing the overall system to achieve high diagnostic speed while managing complexity through modular architecture.
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
This approach significantly reduces the time and cost associated with fault diagnosis, providing timely and accurate diagnostic solutions that improve product yield and reduce troubleshooting complexity.
Implementation Method 1
A first set of states in uniform superposition is generated based on the detected fault empirical data according to the first configuration
Implementation Method 2
The couplers entangle the plurality of qubits together based on the detected fault empirical data according to a first configuration
Implementation Method 3
The quantum computer may measure a state with the lowest energy level within the first set of states to determine first diagnostic solutions to the detected fault
Implementation Method 4
The biases influence the energy levels of the first set of states based on the detected fault empirical data according to the first configuration
Data Source
AI summary
A quantum computing system for determining diagnostic solutions for detected faults in computing devices using at least quantum annealing is described. The quantum computing system takes advantage of superposition and entanglement properties of qubits. A plurality of qubits is initialized into states representing historical data associated with historical faults and historical diagnostic solutions. Couplers entangle the plurality of qubits together based on the detected fault, generating a set of states in uniform superposition. Biases influence the energy levels of the set of states based on the detected fault. The quantum computing system measures a state with the lowest energy level within the set of states to determine diagnostic solutions to the detected fault. The system may further leverage a blockchain ledger for securely storing and accessing historical data associated with historical faults and historical diagnostic solutions.