use of these subroutines is shown through new quantum algorithms, sublinear in the input matrix's size, for principal component analysis, correspondence analysis, and latent semantic analysis. We provide a theoretical analysis of the run-time and prove tight bounds on the randomized algorithms' ...
For nearly 30 years, the Secure Shell Protocol (SSH) has protected businesses and personal workspaces from privacy breaches by supporting viable encryption key algorithms. But as we usher in the quantum computing age, this question has become increasingly difficult to answer. Current algorithms will ...
Data analysis: Quantum algorithms can analyze classical data to improve classification accuracy and identify hidden patterns, providing deeper insights and better decision-making capabilities. Sustainable technologies: Quantum computing can enable accurate simulations of battery chemistry and operations, leading ...
In[125], the authors defined quantum algorithms for topological and geometric analysis of data. The authors developed quantum algorithms for the identification of some topological features for information extraction processes applied on large data sets. The proposed quantum algorithms also can be used fo...
The demand for such ability has continued to grow with recent discoveries of quantum algorithms for data analysis and machine learning applications with large classical data6,7,8,9,10. Quantum simulation also requires the preparation of a quantum register in the initial physical state of the ...
Quantum AI.Quantum computers have the potential to work with more advanced algorithms that could transformmachine learningacross a diverse range of industries, from automotive to pharmaceuticals. In particular, quantum computers could accelerate the arrival of self-driving vehicles. Companies such as Ford...
Hamiltonian simulation algorithms for near-term quantum hardware The way quantum simulation algorithms are translated into specific hardware implementations often translates into additional overhead. Here, the authors improve the efficiency of Hamiltonian simulation using a method that allows efficient synthesis...
(QASM), apply error correction, and generate time and area metrics. It is written to be scalable up to problem sizes in which quantum algorithms outperform classical ones, and as such provide valuable insight into the overheads involved and possible optimizations for a realistic implementation on ...
Covers all aspects of experimental platforms for quantum information, quantum cryptography, entanglement, quantum error correction, and quantum algorithms. Focuses on papers that elaborate on and illustrate quantum information protocols applicable to cryptography, communication, computation, and sensing. Editor...
Quantum Algorithms: Proprietary algorithms optimized for quantum processing, enhancing the efficiency and accuracy of data analysis, optimization, and decision-making tasks. Quantum Cryptography: State-of-the-art encryption techniques leveraging quantum principles, ensuring the security and confidentiality of ...