Join David Joseph and Ryder LiuLin for an exciting 80mins of using quantum to attack lattice-based cryptosystems!
** JUPYTER NOTEBOOKS **
Workbook on Google Colab: https://colab.research.google.com/dri...
Answerbook on Google Colab:
https://colab.research.google.com/dri...
** ABSTRACT for the WORKSHOP **
In this workshop we will develop quantum algorithms to solve a computer science problem called the shortest lattice problem (SVP). SVP is geometrically simple - given a description of a mathematical lattice (a repeating pattern of points in N-dimensional space), can you find the shortest distance between any two points - i.e. the shortest vector? This problem is NP hard and we believe it is resistant to quantum computers.
Based upon the results of “Two quantum Ising algorithms for the shortest-vector problem” (https://arxiv.org/abs/2006.14057), we will explain the principle of quantum adiabatic computation, of Hamiltonian minimization, and of how to map mathematical problems into a Hamiltonian ready to be plugged into a quantum computation framework.
During the course of the workshop, participants will fill in functions in a Jupyter notebook to construct lattices, convert them into a Hamiltonian, and describe quantum annealing dynamics. They will then (hopefully) be able to submit these queries to a D-Wave QPU to which will sample short vectors for them, and we will visualize as a group the results returned.
This exercise will get participants directly interacting with a QPU, understanding some of the benefits and limitations of annealing-based quantum computation, and will learn about an exciting computer science problem and how it directly feeds into our security architecture, (e.g. Kyber!)
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