Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum Computing Error Correction Solved Using Chaotic Numbers

Usama Shamsuddin Thakur

Published Nov 17, 2022• 0 citations
Publisher

Abstract

Abstract Quantum Mechanics and Computation has a major problem calledthe measurement problem [7] [19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problems [4], [5] and quantum measurementproblem very efficiently. We divide chaos into two parts lowchaos and high chaos then we find the desired value [19] inside the intersectionof both. This helps us find something in a ℵ3 >>> ∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty much anything. This paper is inspired by [22]

DOI
10.21203/rs.3.rs-1636992/v3

Related papers

Quantum Computing Using Chaotic Numbers

Usama Shamsuddin Thakur

Abstract Quantum Mechanics and Computation has a major problem calledthe measurement problem [7] [19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problems [4], [5] and quantum measurementproblem very efficiently. We divide chaos into two parts lowchaos and high chaos then we find the desired value [19] inside the intersectionof both. This helps us find something in a ℵ3 >>> ∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty much anything. This paper is inspired by [22]

•May 11, 2022•0 citations

Quantum Computing Using Chaotic Numbers

Quantum Mechanics and Computation has a major problem calledthe measurement problem [7, 19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problemsand quantum measurementproblem very efficiently[4, 5]. We divide chaos into two parts lowchaos and high chaos then we find the desired value inside the intersectionof both[19]. This helps us find something in a 3 >>>∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty muchanything[22]. This paper is inspired by .

Journal of Robotics and Automation Research•May 30, 2022•1 citation

Quantum Computing Using Chaotic Numbers

Usama Shamsuddin Thakur

Quantum Mechanics and Computation has a major problem called the measurement problem. This has given physicists a very hard time over the years when I first looked into the problem my approach was simple find a new number system that can go with the uncertainty of a Quantum particle the paper deals with the mathematics of uncertainty which has solved 2 millenium prize problems and quantum mea- surement problem very efficiently. We divide chaos into two parts low chaos and high chaos then we find the desired value inside the inter- section of both. This helps us find something in a ℵ3 >>> ∞ this takes the problems around us to the next level if we are able to control a chaos then we can achieve pretty much anything.

•May 10, 2022•5 citations

Mathematics Of Uncertainty For Quantum Computing

Usama Shamsuddin Thakur

Abstract Quantum Mechanics and Computation has a major problem called the measurement problem. This has given physicists a very hard time over the years when I first looked into the problem my approach was simple find a new number system that can go with the uncertainty of a Quantum particle the paper deals with the mathematics of uncertainty which has solved 2 millenium prize problems [4], [5] and quantum mea- surement problem very efficiently. We divide chaos into two parts low chaos and high chaos then we find the desired value [18] inside the inter- section of both. This helps us find something in a ℵ3 >>> ∞ this takes the problems around us to the next level if we are able to control a chaos then we can achieve pretty much anything.

•May 10, 2022•0 citations

RESEARCH AND DEVELOPMENT OF A QUANTUM CODE FOR ERROR CORRECTION

S. M. Gushanskiy, V.S. Potapov, Божич Владимир Иванович

Quantum error correction (QEC) is required in quantum computers to mitigate the impact of errorson physical qubits. The goal is to optimize the neural network for high decoding performance whilemaintaining a minimalistic hardware implementation. The errors associated with decoherence can bereduced by adopting QEC schemes that encode multiple imperfect physical qubits into a logical quantumstate, similar to classical error correction. The relevance of these studies lies in the mathematicaland software modeling and implementation of corrective codes to correct several types of quantumerrors in the development and implementation of quantum algorithms for solving classes of problems ofa classical nature. The scientific novelty of this direction is expressed in the elimination of one of theshortcomings of the quantum computing process. The development of the theory and principles for constructingmodeling systems that are resistant to external interference (dependence of data distortion onnoise, dependence of the error of a quantum computing process on the measure and purity of entanglement)for modeling quantum computing is a dynamic area, as evidenced by a large number of existingmodels reflecting certain quantum computational processes and phenomena (quantum teleportation,parallelism, entanglement of quantum states) and scientific papers. Although quantum computing is notyet ready to move from theory to practice, it is nevertheless possible to reasonably guess what form aquantum computer might take, or, more importantly for programming language design, what interface itwould be possible to interact with such a quantum computer. It is natural to apply the lessons learnedfrom the programming of classical computing to quantum computing. The analysis of works in this areashowed that a new qualitative level has now been reached, which opens up promising opportunities forthe implementation of multi-qubit quantum computing. Prospects for implementation and developmentare associated not only with technological capabilities, but also with the solution of issues of buildingeffective quantum systems for solving actual mathematical problems, cryptography problems and control(optimization) problems.

Известия Южного федерального университета. Технические науки•Aug 10, 2022•1 citation

Quantum Computing Techniques for Numerical Linear Algebra in Computational Mathematics

Sharada Narsingrao Ohatkar

Quantum computing is a new and exciting area of computational mathematics that has the ability to solve very hard problems that traditional computing methods have not been able to solve for a long time. This abstract goes into detail about how quantum computing can be used in numerical linear algebra, which is an important part of computational mathematics that is used in many fields, such as science, engineering, and data analysis. The idea behind quantum computing is new. It uses quantum bits (qubits) and quantum gates to do calculations in a very different way, based on the rules of quantum physics. Because of this change in thinking, quantum computers might be able to solve some numerical linear algebra problems a lot faster than traditional computers. The outline then talks about some of the most important quantum computing methods and algorithms that are made for numerical linear algebra problems. There are quantum versions of standard algorithms like matrix multiplication, Gaussian elimination, and singular value decomposition. There are also new algorithms that are intended to use quantum parallelism and interference to speed up computations. For situations where full-scale quantum gear is not yet available, quantum-inspired methods are also talked about. These blend conventional and quantum techniques. The abstract talks about the difficulties and chances of using quantum algorithms for numerical linear algebra on quantum hardware systems that are available now and in the near future. It talks about things like error correction, qubit coherence times, and making efficient quantum circuit implementations. Lastly, the abstract talks about how quantum computing might change computational mathematics. It imagines that advances in quantum computing could help solve numerical linear algebra problems that were previously impossible to solve. This could have huge effects on many fields, from machine learning and optimization to quantum chemistry and cryptography. In the end, it stresses how important it is for mathematicians, computer scientists, physicists, and engineers to work together across disciplines in order to fully utilize the transformative power of quantum computing in numerical linear algebra and other areas.

Panamerican mathematical journal.•Jul 4, 2024•1 citation
Abstract Quantum Mechanics and Computation has a major problem calledthe measurement problem [7] [19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problems [4], [5] and quantum measurementproblem very efficiently. We divide chaos into two parts lowchaos and high chaos then we find the desired value [19] inside the intersectionof both. This helps us find something in a ℵ3 >>> ∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty much anything. This paper is inspired by [22]
Abstract Quantum Mechanics and Computation has a major problem calledthe measurement problem [7] [19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problems [4], [5] and quantum measurementproblem very efficiently. We divide chaos into two parts lowchaos and high chaos then we find the desired value [19] inside the intersectionof both. This helps us find something in a ℵ3 >>> ∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty much anything. This paper is inspired by [22]
Quantum Mechanics and Computation has a major problem calledthe measurement problem [7, 19]. This has given physicists a very hardtime over the years when I first looked into the problem my approach wassimple find a new number system that can go with the uncertainty of aQuantum particle the paper deals with the mathematics of uncertaintywhich has solved 2 millenium prize problemsand quantum measurementproblem very efficiently[4, 5]. We divide chaos into two parts lowchaos and high chaos then we find the desired value inside the intersectionof both[19]. This helps us find something in a 3 >>>∞ this takesthe problems around us to the next level if we are able to control a chaosthen we can achieve pretty muchanything[22]. This paper is inspired by .
Quantum Mechanics and Computation has a major problem called the measurement problem. This has given physicists a very hard time over the years when I first looked into the problem my approach was simple find a new number system that can go with the uncertainty of a Quantum particle the paper deals with the mathematics of uncertainty which has solved 2 millenium prize problems and quantum mea- surement problem very efficiently. We divide chaos into two parts low chaos and high chaos then we find the desired value inside the inter- section of both. This helps us find something in a ℵ3 >>> ∞ this takes the problems around us to the next level if we are able to control a chaos then we can achieve pretty much anything.
Abstract Quantum Mechanics and Computation has a major problem called the measurement problem. This has given physicists a very hard time over the years when I first looked into the problem my approach was simple find a new number system that can go with the uncertainty of a Quantum particle the paper deals with the mathematics of uncertainty which has solved 2 millenium prize problems [4], [5] and quantum mea- surement problem very efficiently. We divide chaos into two parts low chaos and high chaos then we find the desired value [18] inside the inter- section of both. This helps us find something in a ℵ3 >>> ∞ this takes the problems around us to the next level if we are able to control a chaos then we can achieve pretty much anything.
Quantum error correction (QEC) is required in quantum computers to mitigate the impact of errorson physical qubits. The goal is to optimize the neural network for high decoding performance whilemaintaining a minimalistic hardware implementation. The errors associated with decoherence can bereduced by adopting QEC schemes that encode multiple imperfect physical qubits into a logical quantumstate, similar to classical error correction. The relevance of these studies lies in the mathematicaland software modeling and implementation of corrective codes to correct several types of quantumerrors in the development and implementation of quantum algorithms for solving classes of problems ofa classical nature. The scientific novelty of this direction is expressed in the elimination of one of theshortcomings of the quantum computing process. The development of the theory and principles for constructingmodeling systems that are resistant to external interference (dependence of data distortion onnoise, dependence of the error of a quantum computing process on the measure and purity of entanglement)for modeling quantum computing is a dynamic area, as evidenced by a large number of existingmodels reflecting certain quantum computational processes and phenomena (quantum teleportation,parallelism, entanglement of quantum states) and scientific papers. Although quantum computing is notyet ready to move from theory to practice, it is nevertheless possible to reasonably guess what form aquantum computer might take, or, more importantly for programming language design, what interface itwould be possible to interact with such a quantum computer. It is natural to apply the lessons learnedfrom the programming of classical computing to quantum computing. The analysis of works in this areashowed that a new qualitative level has now been reached, which opens up promising opportunities forthe implementation of multi-qubit quantum computing. Prospects for implementation and developmentare associated not only with technological capabilities, but also with the solution of issues of buildingeffective quantum systems for solving actual mathematical problems, cryptography problems and control(optimization) problems.
Quantum computing is a new and exciting area of computational mathematics that has the ability to solve very hard problems that traditional computing methods have not been able to solve for a long time. This abstract goes into detail about how quantum computing can be used in numerical linear algebra, which is an important part of computational mathematics that is used in many fields, such as science, engineering, and data analysis. The idea behind quantum computing is new. It uses quantum bits (qubits) and quantum gates to do calculations in a very different way, based on the rules of quantum physics. Because of this change in thinking, quantum computers might be able to solve some numerical linear algebra problems a lot faster than traditional computers. The outline then talks about some of the most important quantum computing methods and algorithms that are made for numerical linear algebra problems. There are quantum versions of standard algorithms like matrix multiplication, Gaussian elimination, and singular value decomposition. There are also new algorithms that are intended to use quantum parallelism and interference to speed up computations. For situations where full-scale quantum gear is not yet available, quantum-inspired methods are also talked about. These blend conventional and quantum techniques. The abstract talks about the difficulties and chances of using quantum algorithms for numerical linear algebra on quantum hardware systems that are available now and in the near future. It talks about things like error correction, qubit coherence times, and making efficient quantum circuit implementations. Lastly, the abstract talks about how quantum computing might change computational mathematics. It imagines that advances in quantum computing could help solve numerical linear algebra problems that were previously impossible to solve. This could have huge effects on many fields, from machine learning and optimization to quantum chemistry and cryptography. In the end, it stresses how important it is for mathematicians, computer scientists, physicists, and engineers to work together across disciplines in order to fully utilize the transformative power of quantum computing in numerical linear algebra and other areas.