PRX Quantum

A near-optimal method quantifies nonstabilizerness—the resource that enables universal quantum computation—from a small number of Pauli measurements, extending its estimation to system sizes beyond the reach of standard techniques.

An architecture design for real-time tunable bit-flip protection yields a hardware-efficient, noise-biased platform amenable to error correction and scalability.

Using the mathematical language of free probability theory, researchers reveal how local rotational invariance structures matrix-element correlations, including their first subleading corrections.

Viewing emergent 1-form symmetries through the lens of quantum error correction(QEC) makes them detectable with QEC decoders, providing efficient protocols for revealing emergent symmetry structure and probing phase transitions in quantum many-body systems.

A silicon hole spin unveils an electric origin of thermal frequency shifts and exhibits a magnetic-field sweet-spot immune to those, guiding the design of thermally robust semiconductor qubits.

An exact mapping to the 2D Ising model produces closed-form logical failure rates for the toric code, offering an analytic tool kit for benchmarking topological codes beyond current computational limits.

The introduction of boundary scrambling as a solvable many-body quantum model yields an analytically tractable study of higher-order out-of-time-order correlation function dynamics and new insights into free probability and the emergence of random-matrix behavior.

A new study develops an analytical framework to understand and control nonlinear multiphoton processes in strongly interacting Rydberg media.

A new family of quantum circuits gives rise to correlations that are chaotic at short scales yet exactly solvable at long scales.

Telecom O-band InAs/InGaAs quantum dot molecules exhibit electrically tunable orbital coupling, opening a route toward 2D photonic cluster states.

A new framework for designing and evaluating quantum light sources clarifies where realistic devices can provide a quantum advantage in interferometry.

New protocols allow extracting of relevant many-body observables, such as $d$-wave superconducting order parameters, using state-of-the-art quantum gas microscopes.

A photonic neuromorphic architecture leverages a quantum memristor to enable nonlinear, memory-dependent processing for complex learning tasks such as vowel recognition.

A new theoretical framework based on Floquet analysis enables quantum gate optimization using frequency and amplitude modulations, finding high fidelity and fast gates in superconducting circuits.

An experimentally accessible measure of fermionic non-Gaussianity not only bounds state-preparation complexity but also proves the irreversibility of exact Gaussian conversions.

A framework shows that the sample complexity of general quantum learning is governed by the inverse Fisher information matrix.

A comprehensive account of the Pauli propagation method for simulating quantum systems, from theory framework to software implementation and applications.

A proposed five-stage framework outlines the path to useful quantum computing, detailing the scientific milestones required to bridge the gap between theory and real-world utility.