Researchers have developed a new neural decoder that significantly improves the performance of quantum error correction, bringing fault-tolerant quantum computing closer to reality.
A new framework leverages the power of group representation theory to design quantum error correction codes that go beyond traditional Pauli-based approaches.
Researchers detail a new architecture that enhances the manufacturability and speed of quantum error correction for silicon-based spin qubits.
A novel qubit management strategy streamlines quantum computation by dynamically repurposing resources for both error correction and routing.
Researchers propose a hybrid digital-analog quantum computing model that could unlock quantum supremacy using near-term hardware.
Researchers demonstrate practical electromagnetic attacks can bypass modern smartphone security, even on devices with secure enclaves.
A new review explores how combining the spin of electrons with the power of photons could unlock scalable quantum communication and computation.
Researchers demonstrate a novel approach to protecting quantum information by encoding logical qubits within carefully controlled ensembles of three-level quantum systems.
A new neural network decoder promises to overcome a key hurdle in building practical quantum computers by enabling fast and accurate error correction.
As quantum computing scales, efficiently scheduling circuits across multiple processors becomes critical for maximizing throughput and minimizing execution time.