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Found 7 papers, 2 papers with code
A quantum tug of war between randomness and symmetries on homogeneous spaces
We explore the interplay between symmetry and randomness in quantum information.
Inferring physical laws by artificial intelligence based causal models
In this context, we propose a causal learning model of physical principles, which not only recognizes correlations but also brings out casual relationships.
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.
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
