Perceval Tech note: Introducing “shots” in a linear optic quantum computing framework
A “shot” represents the execution of a quantum circuit and the corresponding data collected by the hardware at the output during that single run. Given the probabilistic nature of the system, conducting multiple iterations of the system (obtaining many shots) is necessary to gather data for statistical analysis of the algorithm’s operation.
Perceval & Cloud Webinar #4
Watch our exciting fourth webinar as we delve into the latest updates and innovations in the world of Perceval and Quandela Cloud! In this engaging session, we’ll be exploring brand-new features and much more, with the invaluable insights of our special guest speakers!
Budgeting with Qubits / Make the most of your photons
Are you looking for a way to do more complex computations with a limited photon budget but you find yourself not knowing your photon distribution at the end of your computation? Fear not, we have you covered! Keep reading to discover how to make the most of your photons with our new feature — pseudo photon number resolution (PPNR or pseudo PNR).
Exploring Ascella, the Single-Photon Quantum Computing Prototype
At Quandela have developed Ascella, a general-purpose single-photon-based quantum computing platform. Ascella is a quantum computer that uses a highly efficient quantum dot single photon source, which functions much like a miniature box that produces single photons on-demand which then go into its universal interferometer to perform the computation and subsequently are detected at the output for processing.
Quandela Tech Report: Certified Quantum Random Numbers on a Small Optical Chip
What is randomness? And how can we generate it? Both questions — the first mathematical, the second technological — have profound implications in many of today’s industries and our everyday lives. Let’s explore the principles of randomness together, and some new results from Quandela that generate certifiable randomness according to the laws of quantum mechanics.
Entangled-photon generators for fault tolerant photonic quantum computers
This article is the summary of the scientific results in the new issue of the journal Nature Photonics ‘High-rate entanglement between a semiconductor spin and indistinguishable photons‘, which represents another “first” in the technological achievements of the quantum computing company Quandela, towards the development of photonic quantum computers.
Perceval & Cloud Webinar #2
Watch our second webinar as we discuss the Perceval and Quandela Cloud updates, new features, and more! With us two special guests who joined: Brian Siegelwax (Freelance Quantum Algorithm Designer & QML Researcher) and Brian Ventura (Consultant in Quantum Computing Applications at Sigma Reply) who shared their insights and perspectives on the latest developments.
Perceval & Cloud Webinar #1
Watch our first webinar as we discuss the Perceval and Quandela Cloud updates, new features, troubleshooting, benchmark performance, and more!
How to get started with Quandela’s QPU through OVHcloud
Wanna know how to get started with Quandela’s QPU through OVHcloud? In this video tutorial we’ll show you how in 4 easy steps.
Exploring Graph Problems with Single Photons and Linear Optics
This post highlights our latest research: a new important use for our QPUs, namely solving graph problems. Graphs are extremely useful mathematical objects, with applications in fields such as Chemistry, Biochemistry, Computer Science, Finance and Engineering, among many others.
Perceval Tech Note: Strong Linear Optical Simulation (SLOS)
In this article we’ll be learning about Perceval’s Strong Linear Optical Simulation (SLOS) backend, which allows us to time-efficiently simulate the output distribution of linear optical quantum circuits, with applications ranging from quantum machine learning to graph optimization
Photonics: The fast lane towards useful Quantum Machine Learning?
Photonic quantum computers are quickly establishing themselves as the dominant architectures not just for near-term quantum applications, but also full-scale fault-tolerant quantum computers. Aside from their advantages for quantum communication, scalability and security, photonic QPUs also offer some unique benefits for data-embedding which have tangible benefits for QML applications.
How To Get Started With Quandela Cloud – Tutorial
Are you wondering how to start using Quandela Cloud? Well, you’re in luck because we are going to walk you through the simple 4 steps with the following tutorial!
Cooking with Qubits / How to bake a Quantum Computer Quantum
In this article, we’re going to explain how you can bake your own scrumptious quantum processor from scratch. One of the most common recipes for baking a quantum computer was created by quantum chef/scientist David DiVincenzo.
What is a Quantum Computer?
In this article, we’re going to 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.
BS Based Implementation – Perceval
To what extend can manufacturing errors in beam splitters affect performance of universal interferometers? Apollonie tackles this question with Quandela’s photonic development toolkit: Perceval.
Tensor Network Simulation for Imperfect Boson Sampling
In this tutorial, Thibaud investigates if we can simulate Imperfect Boson Sampling (an important application of linear optical quantum circuits) on a classical computer.
Boson Sampling: A Quantum Advantage
Marceau demontrates how we can harness a quantum advantage from Boson Sampling. Watch to find out if quantum advantage holds on a noisy physical system!
Randomness Generation from Single Device
Raphaël explains why generating random data is not as easy as it may seem, then offers some possible solutions using quantum technology.
Verification of Delegated Quantum Computations
In this video, Luca shows how we can build trust in our quantum computers at Quandela, by verifying the output of quantum algorithms.
LOv-Calculus: Graphical Language for Linear Optics
Nicolas presents a new graphical language, used to efficiently describe linear optical circuits: LOv-Calculus.
Certified Randomness Generation
In this tutorial, Boris outlines how with quantum algorithm we can generate certified random data; a task which is impossible to accomplish using classical methods.
Certification and error mitigation of near-term photonic quantum devices
In this video, Rawad investigates the conditions necessary to harness a quantum advantage from near term photonic devices – primarily with error mitigation.
How to do computations on an optical quantum computer?
At first glance the title might generate a few questions to some of you, but the purpose of this article is to transform those queries into ease-of-use reference. Follow the link and enter the magical world of optical quantum computing.
Single-Photon Sources (Part 1 – 3)
In this article, we will approach single-photon sources from a conceptual level so that we can identify and understand their key properties.This is important for anyone wishing to compare different kinds of photon source.
Pascale Senellart – Photos: The Quantum Link | Distinguished Lecturer Prize 2020 Live
As MCQST Distinguished Lecturer , Prof. Pascale Senellart is giving a series of talks targeted to varied audiences. This public talk is designed for anybody curious about quantum science — even complete beginners!
Les débuts de l’ordinateur quantique – par Pascale Senellart-Mardon
Conférence grand public d’intérêt général donnée par Pascale Senellart-Mardon, et organisée par la section Paris-Sud de la Société Française de Physique
BQIT:21 Session Four – Niccolo Somaschi (Quandela)
“Modular Optical Quantum Computing” by Niccolo Somaschi (Quandela) from Session Four of BQIT:21 (Bristol Quantum Information Technology Workshop)
