A new hybrid computing architecture leverages the combined strengths of quantum and photonic systems to significantly improve the accuracy and efficiency of time-series prediction.
New research reveals that commonly used key length extension techniques are vulnerable to sophisticated quantum attacks, demanding a re-evaluation of current cryptographic standards.
New compilation techniques promise to dramatically reduce the resources needed to run practical quantum algorithms on near-term hardware.
Researchers have developed a new quantum teleportation protocol that improves fidelity and reduces resource demands for transmitting complex quantum information.
A new framework automatically generates custom code analysis queries from vulnerability descriptions, bridging the gap between natural language reports and actionable security insights.
A novel quantum semantic communication scheme dramatically boosts data transmission efficiency for complex 3D data, exceeding classical channel capacity.
A novel architecture blends the power of quantum circuits with state space models to tackle long-range dependencies in sequential data.
A new reinforcement learning framework autonomously stabilizes quantum error correction by adapting to system drift and maximizing performance.
A new cost model, FLASQ, offers a more realistic assessment of resource requirements for early fault-tolerant quantum algorithms.
A novel technique leverages network capacity regions to pinpoint loss probabilities, even amidst noisy channel conditions.