Learning with Volterra Series - Convolutional Networks without Activation Functions
Explore Volterra Series in machine learning, reducing sample and model complexity while maintaining high performance in inference problems.
Holographic Data Representations for Distributed Storage and Network Transmission
Explore holographic data encoding for progressive recovery, ideal for distributed storage and network transmission with unpredictable delays or erasures.
Exploring Shallow Architectures for Image Classification
Explore shallow architectures for image classification, focusing on Scattering Networks and their potential compared to deep CNNs. Examine geometric arguments in deriving competitive representations.
What Do We Gain by Co-Designing Quantum Computers?
Explore co-designing quantum computers, its implementations, and potential benefits with insights from IQM's Tech Lead at QHack 2023.
Orchestrating and Distributing Hybrid Quantum Computing Experiments
Explore orchestration and distribution techniques for hybrid quantum computing experiments with insights from Agnostiq's Head of R&D.
Rigetti's Roadmap and QML Classification with PennyLane-Rigetti
Explore Rigetti's quantum computing roadmap and learn QML classification using pennylane-rigetti in this insightful talk by Marquess Valdez at QHack 2023.
Introduction to the Pawsey Supercomputing Research Centre
Explore Pawsey Supercomputing Research Centre's capabilities and impact on scientific research with Supercomputing Specialist Marco De La Pierre.
How Will Quantum Computing Affect Our Everyday Lives in the Future?
Explore the potential impact of quantum computing on daily life with Xanadu's CEO and an Economist editor at Collision 2023.
The Future of Quantum Computing - Exploring Fault-Tolerant Systems and Practical Applications
Explore the future of quantum computing, its potential applications, and the impact of fault-tolerant systems with Xanadu's CEO Christian Weedbrook.
How Do We Program the Quantum Computers of the Future?
Explore quantum computing's future, Xanadu's achievements, and programming challenges with insights from Director Josh Izaac.
Photonic Quantum Computing at Xanadu - APEF 2023
Explore Xanadu's photonic quantum computing advancements with CTO Zachary Vernon at APEF 2023's Emerging Technologies session.
Junior Challenges in Quantum Computing: The Quantum Enigmas
Explore junior challenges in quantum computing through engaging 'Quantum Enigmas' puzzles, enhancing problem-solving skills in this cutting-edge field.
Qubit Routing for QAOA - QHack 2023
Explore qubit routing optimization for QAOA, enhancing quantum circuit compilation efficiency and problem-solving capabilities in quantum computing.
The Art and Craft of Large-scale Quantum Error-correction Simulations
Explore large-scale quantum error-correction simulations with insights from Nord Quantique researcher Maxime Tremblay at QHack 2023.
The Future of Quantum Software Development
Explore the future of quantum software development with insights from Classiq's Technical Marketing Manager at QHack 2023.
Solving Optimization Problems with Near Term Quantum Hardware - QHack 2023
Explore quantum approximation optimization, cost functions, and industry applications with insights from a Strangeworks quantum scientist.
Improving Quantum Workflows with qBraid Lab
Explore advanced quantum workflows and enhance productivity using qBraid Lab, presented by CTO Ryan Hill at QHack 2023.
Thinking Quantum Optimization with Neutral Atoms - QHack 2023
Explore neutral-atom quantum processors, field programmable qubit arrays, and analog quantum dynamics control for efficient problem encoding and algorithm time evolution.
Quantum Machine Learning: 2023 and Beyond
Explore quantum machine learning's current state and future prospects with insights from a senior researcher in the field.
Learning about Machine Learning
Explore machine learning fundamentals with expert Roger D. Amos in this concise 25-minute lecture from QCHEM LAB at KNU.
cadCAD.jl - A Modeling Library for Generalized Dynamical Systems
Explore generalized dynamical systems modeling with cadCAD.jl. Learn to simulate complex systems, evolve data structures, and gain iterative insights for enhanced system engineering and data science workflows.