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Found 8 papers, 7 papers with code
Grad DFT: a software library for machine learning enhanced density functional theory
Density functional theory (DFT) stands as a cornerstone method in computational quantum chemistry and materials science due to its remarkable versatility and scalability.
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing.
Quantum Physics Computational Physics
Quantum-inspired algorithms in practice
On the other hand, their performance degrades noticeably as the rank and condition number of the input matrix are increased.
Quantum Physics Data Structures and Algorithms
A Quantum Approximate Optimization Algorithm for continuous problems
We introduce a quantum approximate optimization algorithm (QAOA) for continuous optimization.
Quantum Physics
PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer
We determine the time and memory resources as well as the amount of computational nodes required to produce samples for different numbers of modes and detector clicks.
Quantum Physics
Machine learning method for state preparation and gate synthesis on photonic quantum computers
In the simplest case of a single input state, our method discovers circuits for preparing a desired quantum state.
Quantum Physics
Continuous-variable quantum neural networks
The quantum neural network is a variational quantum circuit built in the continuous-variable (CV) architecture, which encodes quantum information in continuous degrees of freedom such as the amplitudes of the electromagnetic field.
