A brief introduction to photonics and why it is valuable
A brief introduction to quantum optics, non-linear optics, and quantum effects.
This lesson will tackle the questions of how information is stored in light, and how can it be used for computation.
Unconventional computing is any type of computing done in a way that is not the usual way, and it has some very import implications discussed here.
In order for a system to perform a computation, the components within the computer need to be able to interact with each other.
For a Zeno blockade, we consider a nonlinear cavity that can perform sum-frequency generation
This lesson will discuss the famous P vs NP conjecture and the implications it has computing.
The problems which our entropy quantum computing devices aim to solve are known as combinatorial optimization problems. This lesson will explain what those are and why they are valuable to be solved.
The text introduces Ising models and how they can be used for solving complex optimization problems, particularly NP-hard problems.
In this tutorial, we will discuss and implement a quadratic unconstrained binary optimization (QUBO) onto our Dirac-1 device.
In this tutorial, we will demonstrate a variant of boosting that has been adapted to quadratic solvers known as QBoost, on our Dirac-1 system.
In this tutorial, we will discuss how to implement a max-cut problem on our Dirac-1 system.
In this tutorial, we will discuss how to implement a quadratic linear constrained binary optimization problem onto our Dirac-1 system.
In this tutorial, we will discuss how to implement a simple portfolio optimization technique on our Dirac-1 system.
In this tutorial, we will discuss how to implement the quadratic assignment problem on our Dirac-1 system.