Aditya Morolia
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View article: On the practicality of quantum sieving algorithms for the shortest vector problem
On the practicality of quantum sieving algorithms for the shortest vector problem Open
One of the main candidates of post-quantum cryptography is lattice-based cryptography. Its cryptographic security against quantum attackers is based on the worst-case hardness of lattice problems like the shortest vector problem (SVP), whi…
View article: Quantum Regularized Least Squares
Quantum Regularized Least Squares Open
Linear regression is a widely used technique to fit linear models and finds widespread applications across different areas such as machine learning and statistics. In most real-world scenarios, however, linear regression problems are often…
View article: Quantum Regularized Least Squares
Quantum Regularized Least Squares Open
Linear regression is a widely used technique to fit linear models and finds widespread applications across different areas such as machine learning and statistics. In most real-world scenarios, however, linear regression problems are often…