Boosting Quantum Calculations with Decoder Confidence

New research demonstrates how leveraging decoder confidence scores can significantly improve error mitigation in quantum circuits, paving the way for more reliable quantum computation.

New research demonstrates how leveraging decoder confidence scores can significantly improve error mitigation in quantum circuits, paving the way for more reliable quantum computation.
A new analysis reveals the quantum resources needed to crack reduced-round versions of the Keccak hash function, suggesting current cryptographic standards remain robust against near-term quantum attacks.
Researchers demonstrate a new approach to secure communication by encoding information in four-dimensional quantum states and leveraging a powerful search algorithm.
Researchers have developed a streamlined protocol for universal blind quantum computation, enhancing security and reducing the demands on quantum servers.
A new approach to fault-tolerant quantum computing leverages bosonic codes and continuous-variable systems to overcome the limitations of traditional qubit-based architectures.

A new review assesses the practical hurdles in running Shor’s algorithm on today’s quantum hardware and what it means for the future of cryptography.
A new framework decomposes quantum readout to reveal the importance of coherent effects often overlooked in traditional analysis.

Researchers have developed a novel quantization method that dramatically expands the capacity of visual codebooks, paving the way for more detailed image compression and generation.

A new framework offers a practical way to estimate privacy leakage in quantum machine learning models without needing to know their inner workings.

Researchers have developed a new method to map the hidden flaws of quantum computers by analyzing the structure of quantum circuits.