Vous trouverez ci-dessous les retransmissions des webinaires organisés par HQI :

Pioneers in neutral-atom quantum computing, PASQAL’s guests, to guide you through their Python library Pulser and demonstrate how to solve Maximum Independent Set (MIS) problems on their platform.

Quantum in Practice series — a continuing program of technical, hands-on trainings designed to help researchers, engineers, and enthusiasts explore the real-world technologies, tools, and applications shaping today’s quantum computing ecosystem. Each session features a major actor of the quantum landscape, offering both an introduction to their hardware and software stack and a practical problem-solving exercise using their tools.

🌟 Session 1

Speakers : Vincent Martin (PASQAL) –   / vincent-martin-0b9942105 and Krisztian Benyo (PASQAL) –   / krisztian-benyo-ph-d-369b44153  

What you will learn Overview of PASQAL’s neutral-atom quantum technology Introduction to Pulser, the open-source programming library How MIS problems map naturally to PASQAL hardware Step-by-step coding exercises to implement and solve an industrial-style MIS problem 🏛️ Organized by This session is organized by CC-FR and TQCI, as part of our mission to bring cutting-edge quantum technologies to the scientific and industrial communities.

⏱️ Timestamps 0:00 — Introduction 6:49 — Part 1: PASQAL technology overview & Pulser introduction 1:28:46 — Part 2: Hands-on MIS exercises with Pulser ———> YOUTUBE LINK 

Featuring QPerfect In this session, we welcome **QPerfect**, the French deeptech startup specialized in quantum emulation and quantum computing technologies.

Welcome to the Quantum in Practice series — a continuing program of technical, hands-on trainings designed to help researchers, engineers, and enthusiasts explore the real-world technologies, tools, and applications shaping today’s quantum computing ecosystem. Each session features a major actor of the quantum landscape, offering both an introduction to their hardware and software stack and a practical problem-solving exercise using their tools.

🌟 Session 2 — Featuring QPerfect In this session, we welcome **QPerfect**, the French deeptech startup specialized in quantum emulation and quantum computing technologies. Through this training, participants discover how combinatorial optimization problems — such as traffic routing optimization — can be approached using both classical and quantum methods. The session covers graph modeling, QUBO formulations, quantum circuit mapping, and the role of emulators in the development of quantum applications.

👨‍🏫 Speaker Aymane Hassani (QPerfect)

🧠 What you will learn • Introduction to QPerfect and its quantum ecosystem • Why quantum emulators are essential for quantum application development • Overview of MIMIQ and its capabilities • How to formulate optimization problems using QUBO • Practical example: Traffic Routing Optimization • Discussion about execution on real quantum hardware 🏛️ Organized by This session is organized by CC-FR and TQCI, as part of our mission to bring cutting-edge quantum technologies to the scientific and industrial communities.

⏱️ Timestamps 0:00 — Introduction 4:57 — Presentation of QPerfect 12:26 — Why do we need emulators? 26:44 — Introduction to MIMIQ 44:06 — Traffic Routing Optimization 1:19:00 — What about real hardware? Please read this message from the speakers: *We would like to correct a small mistake in the Grover implementation at 40:40. In this section, we define the number of qubits (nq) used in the circuit based on the size of the bitstring, but we forgot to use nq in the first layer of Hadamard gates in the circuit. This mistake led to a suboptimal probability of recovering the correct bitstring for longer bitstrings, as shown at 42:16.*

#QuantumComputing #QPerfect #Optimization #QUBO #QuantumAlgorithms #HPC #DeepTech

——–> YOUTUBE LINK

Introduction of **SpinPulse**, Quobly’s open-source pulse-level simulation library, and demonstrates how realistic quantum-circuit simulations can be performed at the pulse level.

🌟 Session 3 — Featuring Quobly In this session, we welcome **Quobly**, the French deeptech startup pioneering fault-tolerant quantum computing based on semiconductor spin qubits. Through this training, participants discover the fundamentals of silicon spin qubits, Quobly’s quantum processor architecture, and the challenges of noise modelling in realistic quantum systems. The session also introduces **SpinPulse**, Quobly’s open-source pulse-level simulation library, and demonstrates how realistic quantum-circuit simulations can be performed at the pulse level.

👨‍🏫 Speakers Marta Brzezińska (Hardware Theory Expert, Quobly) Alain Champenois (Quantum Computing Application Expert, Quobly)

🧠 What you will learn • Introduction to Quobly and its quantum technology roadmap • Fundamentals of silicon spin qubits • Silicon Spin QPU architecture and noise modelling strategies • Challenges of realistic quantum system simulation • Introduction to SpinPulse • Pulse-level quantum-circuit simulation workflows • Live demonstrations and practical examples

🏛️ This session is organized by CC-FR and TQCI, as part of our mission to bring cutting-edge quantum technologies to the scientific and industrial communities.

⏱️ Timestamps 0:00 — Introduction 4:35 — Quobly Presentation (Alain Champenois) 9:25 — Silicon Spin QPU Model & Noise (Marta Brzezińska) 1:31:49 — SpinPulse Presentation & Demonstration

#QuantumComputing #Quobly #SpinQubits #SiliconQubits #QuantumSimulation #SpinPulse #FaultTolerantQuantumComputing #QuantumTechnology #DeepTech

——–> YOUTUBE LINK

PRESENTATION OF RUBY: FROM NEUTRAL ATOMS TO USE CASES

Cliquez ICI

Réalisation : 20 novembre 2025 – Mise en ligne : 3 décembre 2025

Accéder au cloud Ruby via GENCI et prendre en main l’environnement de programmation Ruby. Vincent Martin (Pasqal) présente la technologie des atomes neutres et de l’environnement Ruby. dans ce webinaire il y aura une session d’initiation à la programmation d’un premier algorithme (MIS, QUBO) et de soumission sur la plateforme quantique Ruby, intégrée à l’écosystème HPC via GENCI.