Floquet Engineering - Exploring Control and Phenomena of High-Frequency Electromagnetic Fields in Condensed-Matter Structures
Explore Floquet engineering in condensed-matter structures, examining oscillations under various field conditions and their detection through pump-probe spectra. Uncover intriguing phenomena like the Bloch-Siegert shift.
Recent Progress in Hamiltonian Learning - IPAM at UCLA
Explores recent advancements in Hamiltonian learning algorithms, focusing on achieving the Heisenberg limit through quantum control, conservation laws, and thermalization. Discusses challenges in practical implementation.
Metrology and Metastability in Quantum Input-Output Systems
Explore quantum metrology and metastability in input-output systems, focusing on parameter estimation, continuous measurements, and precision limits for open quantum dynamics.
Quantum Jump Patterns in Hilbert Space and Stochastic Operation of Quantum Thermal Machines
Explore quantum jump patterns in Hilbert space and their impact on stochastic quantum thermal machines, advancing understanding of quantum information and control.
Aperiodic Devices as a Platform for Quantum Photonics
Explore aperiodic devices' potential in quantum photonics, examining their unique properties and applications for advancing quantum information and control technologies.
Exploring Nonlinearity: From Superconductivity to Quantum Sensing
Discover nonlinear phenomena in superconductivity and quantum sensing, exploring cutting-edge research and applications in quantum information and control.
Controlling Quantum Ergodicity in Molecules: From C60 to Ultracold Alkali Dimers
Explore quantum ergodicity in molecules, from C60 fullerenes to ultracold alkali dimers. Discover mechanisms for violating ergodicity and their implications for molecular qubits and quantum control.
Recent Progress in Hamiltonian Learning
Explore recent advancements in Hamiltonian learning algorithms, including Heisenberg-limited protocols and their applications in continuous-variable systems. Gain insights into quantum control and thermalization.
Domain Wall Dynamics of a Two-Dimensional Quantum Ising Model Using Tree Tensor Networks
Explore domain wall dynamics in 2D quantum Ising models using tree tensor networks, focusing on advanced computational techniques in condensed matter physics.
Introduction to Reinforcement Learning in Quantum Physics - Lecture 3
Explore advanced reinforcement learning techniques applied to quantum physics, focusing on cutting-edge research and practical applications in the field.
Introduction to Reinforcement Learning in Quantum Physics - Lecture 2
Explore advanced reinforcement learning techniques applied to quantum physics, focusing on cutting-edge research and practical applications in the field.
Introduction to Reinforcement Learning in Quantum Physics - Lecture 1
Explore reinforcement learning applications in quantum physics, covering fundamental concepts and cutting-edge research in this interdisciplinary field.
Reinforcement Learning for Quantum Technologies
Discover how reinforcement learning techniques can revolutionize quantum devices, from state preparation to error correction, with insights from theoretical proposals and real-time quantum feedback experiments.
Quantum Control for Trapped Ion
Explore advanced quantum control techniques for trapped ions, including Hamiltonians, gates, error mitigation, and robust sequences for improved quantum operations.
Verifiable Quantum Supremacy - What I Hope Will Be Done
Explore the future of quantum computing, challenges in verifying quantum supremacy, and potential solutions with Scott Aaronson's expert insights and analysis.
A Single T-Gate Makes Distribution Learning Hard
Explore the complexity of distribution learning in quantum computing, focusing on the impact of a single T-gate on computational hardness.
Quantum Walks on Hierarchical Graphs
Explore quantum walks on hierarchical graphs, examining their properties and applications in quantum information theory and quantum computing.
Gaussian Boson Sampling Experiments with Displacements and Time-Bin Encoding
Explore cutting-edge quantum information experiments using Gaussian Boson Sampling, focusing on displacements and time-bin encoding techniques in this advanced physics lecture.
Connecting Indefinite Causal Order Processes to Composable Quantum Protocols in Spacetime
Explore the connection between quantum circuits with quantum control of causal order and causal boxes, revealing insights into practical quantum information protocols and their composition in spacetime.
Modelling and Structure-Preserving Discretization of the Schrödinger Equation as a Port-Hamiltonian System
Explore Schrödinger equation modelling as port-Hamiltonian system, including structure-preserving discretization and simulation of controlled quantum box with Rabi oscillations.
Optimizing Control of Quantum Information in Higher Dimensions
Explore optimal control of quantum information in higher dimensions, focusing on qutrit control and speed limits for two-qubit gates with weakly anharmonic qubits.