Squeezing Neural Networks: A New Approach to Memory-Efficient Inference

Researchers have developed a compression technique that dramatically reduces the memory footprint of complex neural networks, paving the way for deployment on edge devices.

Researchers have developed a compression technique that dramatically reduces the memory footprint of complex neural networks, paving the way for deployment on edge devices.

New research leverages the mathematical framework of nonlocal games and coding theory to design scalable tests for verifying the fundamentally quantum phenomenon of contextuality.

New research reveals that symmetry-protected topological phases can intrinsically generate a unique form of quantum resource-the ‘topological magic response’-potentially enhancing capabilities in quantum computation and information processing.

Researchers demonstrate a fast, native three-qubit gate and a promising error correction strategy using trapped Rydberg ions, bringing fault-tolerant quantum computation closer to reality.

Researchers unveil QuantumSavory, a new simulation framework designed to model the complex interplay of quantum computers and networks.

New research reveals that simply adding more quantum entanglement doesn’t guarantee better communication, and strategic resource reduction can surprisingly improve network performance.
A new technique unifies methods for optimizing quantum error-correcting codes, offering greater control over their parameters and performance.

Researchers have developed an advanced information reconciliation technique to significantly improve the feasibility of long-range continuous-variable quantum key distribution.

Researchers detail a scalable method for implementing coined quantum walks on complex networks, bringing this powerful algorithm closer to realization on near-term quantum hardware.

Researchers have developed a new emulation platform, Quditto, to rigorously test and validate the deployment of complex Quantum Key Distribution systems.