Science

A new approach to quantum circuit design bypasses traditional calibration routines, enabling high-fidelity execution even with noisy, real-world quantum gates.

Researchers have developed a unified framework for converting between different representations of surface code quantum computations, paving the way for more efficient and verifiable designs.

As quantum machine learning advances, effectively pooling resources across varied quantum devices and datasets becomes a critical hurdle.

New research establishes a surprising connection between quantum decoding algorithms and a challenging problem in coding theory, potentially unlocking new approaches to both fields.

A new framework optimizes qubit routing and scheduling in distributed quantum architectures to minimize communication overhead and resource consumption.

Researchers have demonstrated a controllable interaction between a Kerr-cat qubit and a transmon qubit, paving the way for integrating noise-biased bosonic qubits into advanced quantum error correction schemes.

Researchers are connecting classical numerical integration techniques to the design of quantum codes, paving the way for more robust and efficient quantum computation.

A new protocol enhances the reliability of delegated quantum computations by improving tolerance to errors and bolstering security.

A new software prototype is designed to optimize the CASCADE error correction protocol, a critical component for secure quantum communication networks.

A new framework leverages the principles of Zero Trust and category theory to protect artificial intelligence models against emerging quantum threats, even on limited-resource devices.