321 citations · 559 across the 17 of their papers we have counts for
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Training Optimization for Gate-Model Quantum Neural Networks
Laszlo Gyongyosi, Sandor Imre
Gate-based quantum computations represent an essential to realize near-term quantum computer architectures. A gate-model quantum neural network (QNN) is a QNN implemented on a gate…
State Stabilization for Gate-Model Quantum Computers
Laszlo Gyongyosi, Sandor Imre
Gate-model quantum computers can allow quantum computations in near-term implementations. The stabilization of an optimal quantum state of a quantum computer is a challenge, since…
Dense Quantum Measurement Theory
Laszlo Gyongyosi, Sandor Imre
Quantum measurement is a fundamental cornerstone of experimental quantum computations. The main issues in current quantum measurement strategies are the high number of measurement…
Opportunistic Entanglement Distribution for the Quantum Internet
Laszlo Gyongyosi, Sandor Imre
Quantum entanglement is a building block of the entangled quantum networks of the quantum Internet. A fundamental problem of the quantum Internet is entanglement distribution. Sinc…
Entanglement Access Control for the Quantum Internet
Laszlo Gyongyosi, Sandor Imre
Quantum entanglement is a crucial element of establishing the entangled network structure of the quantum Internet. Here we define a method to achieve controlled entanglement access…
Adaptive Routing for Quantum Memory Failures in the Quantum Internet
Laszlo Gyongyosi, Sandor Imre
We define an adaptive routing method for the management of quantum memory failures in the quantum Internet. In the quantum Internet, the entangled quantum states are stored in the…