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Explore fault-tolerant quantum computing costs, surface codes, and technical challenges in implementing large-scale quantum algorithms with Craig Gidney from Google.
Explore dequantization of quantum machine learning algorithms, focusing on classical techniques for approximating quantum linear algebra and their implications for QML speedups.
Explores challenges in training variational quantum circuits, comparing them to classical neural networks and examining quantum generative models, with a focus on robust training methods and circuit compression.
Explore prospects and challenges in quantum machine learning, covering classification techniques, dimensionality reduction, data loading, and benchmarking for both optimistic and cautious perspectives.
Explore elliptic curve isogenies in public key cryptography, covering history, examples, algorithms, and quantum implications for post-quantum cryptography.
Explore quantum attacks on hash-based cryptography, covering applications, models, and techniques. Gain insights into post-quantum cryptography and the NIST competition.
Explore an LLL algorithm for module lattices, covering key concepts, previous works, and algorithm details. Gain insights into lattice geometry and computational challenges.
Explore lattice geometry, algorithms, and hardness with a focus on the Reverse Minkowski Theorem, covering applications, proofs, and open questions in this advanced mathematical talk.
Explore quantum supremacy, its challenges, and the differences between classical and quantum computing in this comprehensive lecture on advanced quantum algorithms and sampling problems.
Explore quantum computing verification through interactive proofs and post-quantum cryptography, focusing on classical commitment to quantum states and delegating measurements.
Explore quantum-inspired classical algorithms for linear algebra, including sketching, sampling, and low-rank approximation techniques in this advanced computational talk.
Explore quantum algorithms, from Fourier transforms to Hamiltonian simulations, covering key techniques and applications in quantum computing advancements.
Explore quantum chemistry fundamentals, electronic structure problems, and quantum computing applications in this comprehensive introduction by Bryan O'Gorman.
Explore the complexity of the Local Hamiltonian Problem, its NP-containment proof, and connections to adiabatic computation and open quantum systems in this advanced physics lecture.
Explore advanced lattice-based cryptography, focusing on multilinear maps and program obfuscation. Learn about trapdoor sampling, evaluation techniques, and applications in pseudorandom functions and private constraints.
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