Supercomputing leverages quantum machine learning and Grover's algorithm
The complexity of searching algorithms in classical computing is a classic problem and a
research area. Quantum computers and quantum algorithms can efficiently compute some …
research area. Quantum computers and quantum algorithms can efficiently compute some …
[LIBRO][B] Modern cryptography: applied mathematics for encryption and information security
W Easttom - 2022 - Springer
Information Security was first published with McGraw Hill, then later revised and published
with Springer. This is the second edition with Springer. What has changed you might …
with Springer. This is the second edition with Springer. What has changed you might …
Quantum anonymous private information retrieval for distributed networks
Quantum cybersecurity is the study of all facets regarding the security of communication and
computation in a distributed network. Significant developments in quantum technologies …
computation in a distributed network. Significant developments in quantum technologies …
Quantum chain of things (QCoT): a new paradigm for integrating quantum computing, blockchain, and Internet of Things
Recently, Internet of Things (IoT) and Blockchain (BC) are coupled to present smart and
secure applications. Quantum Computing (QC) is a new paradigm that imposes itself as a …
secure applications. Quantum Computing (QC) is a new paradigm that imposes itself as a …
Quantum machine learning-using quantum computation in artificial intelligence and deep neural networks: Quantum computation and machine learning in artificial …
Machine Learning or Artificial Intelligence basically involves tasks of modifying and
supervising problems taken as vectors in multi-dimensional space. The Primitive algorithms …
supervising problems taken as vectors in multi-dimensional space. The Primitive algorithms …
A quantum “black box” for entropy calculation
A significant part of global quantum computing research has been conducted based on
quantum mechanics, which can now be used with quantum computers. However, designing …
quantum mechanics, which can now be used with quantum computers. However, designing …
Quantum machine learning: A case study of grover's algorithm
The complexity of searching algorithms in classical computing is a perpetual researched
field. Quantum computers and quantum algorithms can compute these problems faster, and …
field. Quantum computers and quantum algorithms can compute these problems faster, and …
Quantum computing and cryptography
C Easttom - … Cryptography: Applied Mathematics for Encryption and …, 2022 - Springer
Many researchers believe quantum computing will be a practical reality within the next 5–10
years. There have been significant advances in the research for quantum computing in …
years. There have been significant advances in the research for quantum computing in …
Non-local parallel processing and database settlement using multiple teleportation followed by Grover post-selection
Quantum information applications emerged decades ago, initially introducing a parallel
development that mimicked the approach and development of classical computer science …
development that mimicked the approach and development of classical computer science …
Improved complexity of quantum oracles for ternary grover algorithm for graph coloring
The paper presents a generalization of the well-known Grover Algorithm to operate on
ternary quantum circuits. We compare complexity of oracles and some of their commonly …
ternary quantum circuits. We compare complexity of oracles and some of their commonly …