Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

An Efficient Quantum Algorithm for Lattice Problems Achieving Subexponential Approximation Factor

Simons Institute via YouTube

Overview

Explore a groundbreaking quantum algorithm for solving the Bounded Distance Decoding problem with subexponential approximation factor on integer lattices in this Quantum Colloquium talk by Sean Hallgren from Penn State University. Discover how this polynomial-time quantum algorithm achieves an exponential speedup compared to classical methods, marking the first instance of such acceleration for a general lattice problem unrelated to number theory. Delve into the collaborative work with Lior Eldar, understanding the implications of this efficient quantum approach for lattice problems and its potential impact on the field of quantum computing.

Syllabus

An Efficient Quantum Algorithm for Lattice Problems Achieving Subexponential Approximation Factor

Taught by

Simons Institute

Reviews

Start your review of An Efficient Quantum Algorithm for Lattice Problems Achieving Subexponential Approximation Factor

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.