QHack 2022: Marco Cerezo —Barren plateaus and overparametrization in quantum neural networks Published 2022-02-24 Download video MP4 360p Recommendations 49:08 QHack 2022: Johannes Jakob Meyer —NISQ applications and the geometry of quantum states 17:38 The moment we stopped understanding AI [AlexNet] 44:43 Marco Cerezo: Towards Geometric Quantum Machine Learning | QHack 2023 1:01:57 QML Meetup: Marco Cerezo, Barren plateaus and overparametrization in Quantum Neural Networks 53:33 Your Brain: Who's in Control? | Full Documentary | NOVA | PBS 1:36:04 Quantum Computing Course – Math and Theory for Beginners 3:15:38 What is ChatGPT doing...and why does it work? 59:24 The Next Generation of Neural Networks 16:32 Battery innovations and quantum technologies: The key to sustainable mobility? | Collision 2023 3:50:19 Wolfram Physics Project Launch 14:57 How Do We Program the Quantum Computers of the Future? | Elevate Festival 2023 47:47 Lecture 8.2 - Barren Plateaus, Trainability Issues, and How to Avoid Them 2:43:04 Wolfram Physics Project: A Discussion with Jim Gates 13:26 The future of quantum computing | Collision Conference 2023 54:49 Berfin Şimşek: Finite-Width Neural Networks: A Landscape Complexity Analysis 3:57:17 WE GOT ACCESS TO GPT-3! [Epic Special Edition] 3:17:49 3+ Hours Of Facts About Our Galaxy To Fall Asleep To 38:42 Quantum Machine Learning: Prospects and Challenges 57:43 Yang-Hui He (6/16/21): Universes as Bigdata: from Geometry, to Physics, to Machine-Learning Similar videos 53:13 QHack 2021: Marco Cerezo—Trainability and Barren Plateaus in Quantum Neural Networks 30:36 Theory of overparametrization in quantum neural networks - Diego García-Martín | QCTIP 2022 31:59 Maria Kieferova - Training quantum neural networks with an unbounded loss function - IPAM at UCLA 1:38:14 Theory of overparametrization in quantum neural networks 48:35 QHack 2022: Josh Izaac —Differentiable quantum transforms 16:02 Q2B 2020 | Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks 1:04:10 Barren Plateaus and Quantum Generative Training Using Rényi Divergences | Quantum Colloquium 23:21 Barren Plateaus in Quantum Variational Circuits: Implementation in Tensorflow-Quantum (TFQ) 45:11 QHack 2022: Maria Schuld —Is quantum advantage the right goal for QML? 1:00:36 Exploring Barren Plateaus and the Identity Block Trick 58:47 Stefan H. Sack and Raimel A. Medina: Avoiding barren plateaus using classical shadows 48:34 QHack 2022: Zoe Holmes —Expressibility & trainability: balancing the ingredients of an effective VQA 46:02 Are quantum neural networks actually relevant? by Amira Abbas 01:21 LANL Quantum Computing Gag Reel - Virtual March Meeting 45:51 Subtleties in the trainability of quantum machine learning models More results