Exploring Graph Problems with Single Photons and Linear Optics
Or, solving graph problems using a photonic quantum processor, with applications from chemistry to computer science, finance to artificial intelligence.
Perceval Tech Note: Strong Linear Optical Simulation (SLOS)
Perceval comes equipped with several backends for simulating your quantum algorithms. SLOS is a time-efficient way to get the output distribution of linear optical quantum circuits, with applications ranging from quantum machine learning to graph optimisation.
Photonics: The fast lane towards useful Quantum Machine Learning?
Photonic quantum computers are quickly establishing themselves as the leading platform for both near-term application (NISQ) and full-scale fault-tolerant quantum computing. They are scalable, natively compatible with quantum communications, and offer unique encoding schemes useful for quantum machine learning applications.
Cooking with Qubits / How to bake a Quantum Computer
How to build your own quantum processor from scratch! Whether you’re trying to impress a first date, cater for friends, or entrench a technological advantage against your geopolitical rivals, quantum computers are the perfect treat for any occasion.
What is a Quantum Computer?
Here we explain what quantum computers are and give a brief introduction to how they work. You don’t need a background in science to follow along, just a few minutes of spare time and a desire to learn.
How to do computations on an optical quantum computer?
We lay out the foundations of quantum computing with photons, and how you can start building your own quantum algorithms with Perceval, Quandela’s development toolkit.
Single-Photon Sources (Part 1 – 3)
A trilogy all about single-photon sources, how they work, and why they are so valuable for quantum photonics. Quandela’s unique technology is driving the future of photonic quantum computing.
