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Found 12 papers, 6 papers with code
Modelling the Distribution of Human Motion for Sign Language Assessment
Sign Language Assessment (SLA) tools are useful to aid in language learning and are underdeveloped.
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
Generalization is the ability of machine learning models to make accurate predictions on new data by learning from training data.
Quantum machine learning of large datasets using randomized measurements
Further, we efficiently encode high-dimensional data into quantum computers with the number of features scaling linearly with the circuit depth.
Noisy intermediate-scale quantum algorithm for semidefinite programming
Unlike variational quantum eigensolvers, the classical optimization program of our eigensolver is convex, can be solved in polynomial time with the number of ansatz parameters and every local minimum is a global minimum.
Optimal training of variational quantum algorithms without barren plateaus
Variational quantum algorithms (VQAs) promise efficient use of near-term quantum computers.
NISQ Algorithm for Hamiltonian Simulation via Truncated Taylor Series
We recover differential equation-based NISQ algorithms for Hamiltonian simulation such as quantum assisted simulator (QAS) and variational quantum simulator (VQS) as particular cases of our algorithm.
Quantum Physics
Capacity and quantum geometry of parametrized quantum circuits
We identify a transition in the quantum geometry of the parameter space, which leads to a decay of the quantum natural gradient for deep circuits.
Noisy intermediate-scale quantum (NISQ) algorithms
We additionally provide a comprehensive overview of various benchmarking and software tools useful for programming and testing NISQ devices.
Noisy intermediate scale quantum simulation of time dependent Hamiltonians
Quantum computers are expected to help us to achieve accurate simulation of the dynamics of many-body quantum systems.
Quantum Physics
Engineering quantum current states with machine learning
With our approach, quantum current states characterized by a single winding number or entangled currents with two winding numbers can be prepared superseding the existing protocols.
Quantum Physics Mesoscale and Nanoscale Physics Quantum Gases
Andreev-reflection and Aharonov-Bohm dynamics in atomtronic circuits
We find that the steady-state is independent of the flux, however the actual time-dynamics depends on the flux.
Quantum Gases Quantum Physics
