This research details a 1D Gaussian modulation scheme for Continuous-Variable Quantum Key Distribution (CV-QKD) that ...
Researchers at UCLA directly visualize the energy level structure of quantum dot molecules using a new spectroscopy technique ...
Weizmann Institute research clarifies how dissipation impacts Quantum Hall–Superconductor Junctions, crucial for potential ...
A new quantum algorithm tackles jet identification using only five superconducting qubits, achieving end-to-end training on a ...
This research presents a holographic demonstration of the link between critical dynamics and quantum scrambling timescales ...
A new study demonstrates solid neon film cuts energy loss in superconducting qubits, a key challenge for quantum computing.
Researchers demonstrate how qubit parity symmetry protects a cos(2φ) transmon qubit from dielectric loss, a major source of ...
New research explores training Quantum Neural Networks more efficiently, potentially reducing cloud computing job ...
Researchers achieve record photon counts using silicon carbide nanopillars, advancing nanoscale quantum sensing.
TU Delft researcher Zeynab Kaseb tests the integration of Quantum Inspire with DelftBlue, using the supercomputer to prepare ...
Pêlagos achieves near-linear GPU scaling for high-throughput quantum error correction decoding, accelerating large-scale ...
Multiverse Computing tests multi-head Quantum Neural Networks within a 30-billion-parameter Large Language Model.
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