Great Power Competition and Disruptive Technologies in the Modern Era
Explore how disruptive technologies shape great power competition and NATO's role in navigating evolving political landscapes in the era of AI, quantum computing, and synthetic biology.
Navigating the Quantum Readiness Journey: Securing Kubernetes with Quantum-Resistant Cryptography
Explore quantum-resistant cryptography for Kubernetes security. Hands-on insights into mTLS, x.509 certs, and container signing. Learn standardization progress and empower yourself to conduct tailored experiments.
Saving the Post-Quantum World with Neural Networks
Explore neural networks' role in post-quantum cryptography and cybersecurity. Learn about cutting-edge research and applications in this emerging field of information security.
Battery Innovations and Quantum Technologies: The Key to Sustainable Mobility
Explore cutting-edge battery innovations and quantum technologies driving sustainable mobility with industry leaders from Xanadu and Volkswagen Canada.
A Quantum Cybersecurity Agenda for Europe
Explore Europe's quantum cybersecurity challenges, focusing on encryption vulnerabilities and the need for a coordinated EU approach to post-quantum cryptography and quantum-safe technologies.
The Rise and Fall of Great Technologies and Powers
Explore the dynamics of technological innovation and its impact on global power structures with Dr. Jeffrey Ding. Gain insights into the rise and fall of great technologies and their geopolitical implications.
Breaking the Curse of Dimension in Quantum Mechanical Computations Through Analysis and Probability
Explore quantum mechanical computations, focusing on breaking dimensional constraints through analysis and probability. Learn about density functional theory and recent approaches to tackle existing issues.
Tensor Networks for Machine Learning and Applications
Explore tensor networks in machine learning, their benefits, and applications. Learn about model functions, optimization algorithms, and potential insights for matching architectures to data types.
Mathematical and Computational Challenges in Quantum Computing - IPAM UCLA
Explore mathematical and computational challenges in quantum computing through workshops and collaborations, focusing on empowering mathematics to impact quantum information science and vice versa.
Justifiable Quantum Advantage for Stylized Learning Challenges
Explore quantum advantage in learning tasks, demonstrating how quantum machines can predict physical properties and model dynamics with exponentially fewer experiments than conventional methods.
Open Source Summit Keynotes - Future of Work, AI, Innovation, and Inclusion
Explore the future of work, open-source innovation, and diversity in tech with industry leaders. Gain insights on collaboration, AI, cloud computing, and inclusive practices shaping the tech landscape.
Living in the Moment - Leading with Influence
Explore a cyclical framework of Mindfulness, Growth, and Action for effective leadership. Learn to innovate, experiment, and drive success through user-centric approaches and cutting-edge technologies.
How to Conduct Medical R&D with QiML Algorithms and Architectures
Explore quantum-inspired machine learning algorithms and architectures for advancing medical research and development in healthcare.
Randomness in Number Theory
Explore randomness in number theory, covering topics like finite fields, graphs, quantum gates, and the Riemann Hypothesis with Princeton's Peter Sarnak.
Quantum-Inspired Classical Linear Algebra
Explore quantum-inspired classical algorithms for linear algebra, including sketching, sampling, and low-rank approximation techniques in this advanced computational talk.
A Tale of Turing Machines, Quantum-Entangled Particles, and Operator Algebras
Explore the convergence of computational complexity, quantum information, and operator algebras in solving long-standing problems, including Connes' Embedding Problem, in this accessible lecture for a general scientific audience.
Variational Quantum Architectures for Linear Algebra Applications
Explore variational quantum algorithms for linear algebra applications, including singular value decomposition, linear system solving, and generative models, with focus on NISQ-era implementations and real-world examples.
On Quantum Linear Algebra for Machine Learning - IPAM at UCLA
Explore quantum singular value transformation for machine learning, its applications, limitations, and connections to classical algorithms in this technical talk on quantum linear algebra.
Efficient Quantum Algorithm for Dissipative Nonlinear Differential Equations
Explore efficient quantum algorithms for nonlinear differential equations, overcoming limitations through Carleman linearization. Discover potential applications in biology, fluid dynamics, and plasma physics.
Weingarten Calculus and Its Applications
Explore Weingarten calculus and its applications in compact groups, quantum probability, and random matrix theory, with insights on theoretical properties and recent developments.
Eigenvalue Gaps and Continuous Walks
Explore eigenvalue gaps, continuous walks, and perfect state transfer in algebraic graph theory, with applications to quantum information and oriented graphs.