Science

Researchers have developed a new algorithm that efficiently rearranges neutral atoms, paving the way for more stable and scalable quantum computers.

Researchers have demonstrated a compact photonic chip that efficiently translates between common qubit encoding methods, enabling tighter integration of quantum networks and processors.

Researchers have developed a novel method for building quantum gates with significantly reduced qubit overhead on LDPC codes, offering a promising alternative to traditional surface code approaches.

A new artificial intelligence framework dramatically reduces the computational cost of modeling the epoch of reionization, opening the door to more efficient exploration of cosmological parameters.

New research reveals how graph theory can quantify the fundamental limitations of simultaneous quantum measurement.

New research reveals how quantum phase transitions can dramatically alter energy storage in quantum batteries, potentially unlocking faster charging and greater capacity.

Researchers have developed a novel architecture to bolster the safety of large AI models that process both text and images, protecting against harmful inputs and malicious manipulation.

New research reveals a wider applicability of existing quantum security theorems, streamlining the process of verifying cryptographic systems.

A new hybrid algorithm combines the power of quantum and classical computing to efficiently identify molecular resonances, a crucial step in understanding chemical behavior.

Researchers have unveiled ‘Cyclone,’ a novel hardware-software design for trapped-ion quantum computers that dramatically accelerates quantum error correction and improves memory fidelity.