Science

As AI agents gain the ability to dynamically access external resources, a critical need emerges to address the unique security challenges posed by this expanding context.

A new analysis explores the fundamental limits of agreement between observers making measurements on quantum systems, revealing that disagreement isn’t just possible, but governed by predictable bounds.

As the Internet of Things expands and relies increasingly on 5G, traditional security models are proving inadequate, necessitating a shift towards more intelligent, distributed approaches.

A new analysis reveals that applying the principles of quantum game theory can unlock cooperative solutions in the classic ‘centipede game,’ challenging traditional predictions of self-interest.

A new error mitigation technique boosts the performance of complex quantum algorithms on near-term hardware.

Researchers have developed a novel deep learning framework to dramatically compress holographic data without sacrificing reconstruction quality.

A new proof demonstrates the security of a practical quantum key distribution system using a simplified, passive measurement approach.

A new framework demonstrates how complex behavior in symmetric quantum circuits can emerge from the principles of holographic duality, shedding light on emergent phases and transitions.

Researchers are tackling limitations in quantum machine learning with a novel architecture that bypasses the traditional measurement stage, enhancing both accuracy and data privacy.

Researchers are leveraging the power of field-programmable gate arrays to achieve real-time decoding of quantum low-density parity-check codes, a critical step towards fault-tolerant quantum computing.