Decoding Quantum Error Correction with Enhanced Belief Propagation
A new decoding framework boosts the performance of quantum low-density parity-check codes without sacrificing speed.
A new decoding framework boosts the performance of quantum low-density parity-check codes without sacrificing speed.

Despite the widespread adoption of encryption, critical infrastructure controlled by encrypted systems remains susceptible to subtle, yet dangerous, covert attacks.
Researchers have developed a silicon photonics-based Physical Unclonable Function fortified by quantum principles to provide a uniquely secure authentication method.
![The variational quantum eigensolver employs a parameterized ansatz-specifically, two layers of [latex]R_y[/latex] rotations interleaved by a single CNOT entangling gate-to explore the potential energy surface of the system under study.](https://arxiv.org/html/2605.14219v1/x1.png)
A new fuzzing technique efficiently uncovers non-convergent executions in hybrid quantum-classical programs, improving the reliability of near-term quantum algorithms.

New research reveals that the effectiveness of detecting errors in quantum programs using mutation analysis is heavily influenced by real-world noise, demanding a more nuanced approach to evaluation.
![The system architecture depicts a foundational structure for machine-to-machine communication, leveraging the lightweight publish-subscribe messaging protocol [latex]MQTT[/latex] to enable interconnected devices within an Internet of Things network.](https://arxiv.org/html/2605.13698v1/diagram.png)
A new study demonstrates the practical implementation of quantum-resistant cryptography within a Raspberry Pi-based IoT network, paving the way for long-term data protection.
![The system encodes cached vectors into a fixed-rate bitstream by partitioning unit directions into blocks, quantizing each against a shared codebook, and reconstructing the original vector through a reversed lookup and rotation-a process distinguished by its random-access capability and affine offsets, enabling independent recovery of past key/value pairs and representing an advancement over variable-length codecs by replacing per-coordinate scalar tables with [latex]kk[/latex]-dimensional vector quantization.](https://arxiv.org/html/2605.11478v1/x1.png)
Researchers have developed a novel compression technique that dramatically reduces the memory footprint of key-value caches, accelerating AI model performance.
Researchers have developed a decoding algorithm to address a wider range of errors in quantum codes, improving the resilience of quantum information.
A new analysis reveals that artificial intelligence can undermine modern encryption by identifying subtle patterns within seemingly random data, potentially compromising secure communications.
Researchers detail a new integrated encryption scheme that blends post-quantum cryptography with lightweight algorithms to secure communications against emerging threats.