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Discover how signal processing techniques like short-time Fourier and wavelet transforms can be adapted for quantum systems, covering both discrete and continuous variables.
Discover automated verification techniques for classical and quantum algorithm implementations, including post-quantum cryptography methods and formal correctness proofs.
Explore fault-tolerant quantum error-correcting codes for reliable communication over noisy channels, combining quantum computation and communication techniques to achieve optimal transmission rates.
Explore post-quantum cryptography through group actions, examining quantum generic models and their challenges in securing cryptographic systems against quantum attacks.
Discover a groundbreaking mathematical framework for density functional theory that addresses open questions in quantum chemistry calculations and many-particle systems.
Explore mathematical foundations of Coupled Cluster methods for many-body problems, covering essential concepts and recent advances in quantum chemistry and nuclear physics.
Explore quantum stabilizer codes and their unique decoding feature, degeneracy, from a classical-friendly perspective in quantum error correction.
Explore post-quantum cryptography, focusing on the Oil-and-Vinegar signature scheme and its role in developing quantum-resistant digital signatures.
Explore quantum materials' potential for novel computational approaches inspired by biological systems, addressing challenges in quantum computing through interdisciplinary collaboration.
Explore lattice-based encryption schemes and their resistance to quantum attacks, building on previous seminars to understand post-quantum cryptography.
Explore advanced quantum computing concepts through coupled-cluster theory, examining ground and excited eigenstates and their applications in quantum systems.
Explore quantum computing's impact on cryptography, focusing on post-quantum algorithms and their security in the face of advancing quantum technology.
Explore quantum technology research and its real-world impact, focusing on quantum computing and machine learning advancements at OsloMet Quantum Hub.
Explore the quantum-inspired Simulated Bifurcation algorithm for community detection in complex networks, comparing its performance with quantum machines and traditional methods.
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