Quantum Annealer Error Mitigation for Random Number Generation
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Solution Overview
Problem
Quantum annealing processes are prone to errors due to finite temperature and imperfect adiabatic evolution, and the reading out of qubits can introduce additional errors, affecting the accuracy of the solution.
Innovation Solution
A system and method utilizing a quantum annealer with a data input module, quantum device, read out module, and error mitigation module to minimize temperature effects by fine-tuning magnetic fields, ensuring accurate generation of random numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quantum annealing is performed to solve optimization problems, then computational efficiency is improved, but accuracy deteriorates due to temperature effects and imperfect adiabatic evolution
Solution Approach 1:
The patent applies preliminary action by performing multiple quantum annealing computations with varying parameters before final readout. The system executes the quantum annealing process multiple times with different annealing times and magnetic field configurations, then aggregates results to mitigate temperature-induced errors and improve solution accuracy while maintaining computational efficiency
Solution Approach 2:
The patent utilizes parameter changes by systematically varying annealing time, magnetic field strength, and temperature parameters across multiple computational runs. By changing these parameters and analyzing the distribution of results, the system identifies optimal solutions that are robust against temperature fluctuations and imperfect adiabatic evolution
2Loss of information
If quantum bits are read out to obtain solutions, then information is obtained, but errors are introduced affecting accuracy
Solution Approach 1:
The patent implements feedback by using measurement results from quantum bit readout to adjust subsequent computational parameters. The system analyzes the distribution of measured outcomes and uses this feedback to refine magnetic field configurations and annealing parameters for subsequent runs, thereby reducing readout errors and improving overall measurement accuracy
Solution Approach 2:
The system performs preliminary computations and measurements to characterize readout errors before final solution extraction. By conducting multiple preliminary readouts and analyzing error patterns, the system develops correction strategies that improve the accuracy of final solution retrieval
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
The system enhances the accuracy of quantum annealing by minimizing temperature-induced errors, producing truly random numbers suitable for applications in cryptography and cybersecurity.
Implementation Method 1
the quantum device, configured to implement a quantum evolution with a quantum operator consisting only of magnetic fields
Implementation Method 2
Quantum annealing is a computational method that harnesses the power of quantum mechanics to solve complex problems more efficiently than classical computers
Implementation Method 3
an error mitigation module configured to minimize an effect of a temperature parameter by fine-tuning the magnetic fields
Data Source
AI summary
The system and method for generating random numbers involves a quantum device, a data input module, a quantum annealing device, a read out module, an error mitigation module, and an output module. The quantum device obtains random numbers. The data input module enters numerical data corresponding to magnetic fields to be applied to each quantum bit of the quantum device, a time parameter, and a state count to be sampled by the quantum device. The quantum annealing device implements a quantum evolution with a quantum operator consisting only of magnetic fields. The read out module measures the quantum bits at the end of the evolution. The error mitigation module minimizes the effect of a temperature parameter by fine-tuning the magnetic fields of the annealing. The output module measures the quantum bits after the whole procedure, and produces a random string of output bits.