First hardware demonstration of quantum lattice Boltzmann simulation for advection-diffusion under non-uniform 3D velocity fields using trapped-ion systems.
Predicting many properties of a quantum system from very few measurements.Nature Physics, 16(10):1050–1057
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An oracle-free Trotter-based quantum algorithm for nonadiabatic molecular dynamics achieves circuit depth advantages over QROM architectures and retains T-gate scalability compared to quantum signal processing.
Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.
Encoding strategies for quantum fluid simulations trade off compactness against practicality in state preparation, measurement, boundary conditions, and nonlinear operations, with no single approach being universally optimal.
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Quantum Lattice Boltzmann Solutions for Transport under 3D Spatially Varying Advection on Trapped Ion Hardware
First hardware demonstration of quantum lattice Boltzmann simulation for advection-diffusion under non-uniform 3D velocity fields using trapped-ion systems.
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An oracle-free Trotter-based quantum algorithm for nonadiabatic molecular dynamics achieves circuit depth advantages over QROM architectures and retains T-gate scalability compared to quantum signal processing.
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Extreme Quantum Cognition Machines for Deliberative Decision Making
Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.
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Encoding strategies for quantum enhanced fluid simulations: opportunities and challenges
Encoding strategies for quantum fluid simulations trade off compactness against practicality in state preparation, measurement, boundary conditions, and nonlinear operations, with no single approach being universally optimal.