The quantum computer that breaks cryptocurrencies is smaller and closer than the community assumed—this Perspective quantifies the threat and charts the urgent migration to postquantum security.

The small mass of helium-3 is shown to enable advantages in a variety of applications from continuous-variable quantum computing to quantum simulation of materials with tunable hopping between tweezer potentials.

A fundamental quantum uncertainty relation reveals an unavoidable trade-off between the reliabilities of the charging power and the work deposited during the charging and discharging of quantum batteries, establishing essential design limits for future quantum energy storage.

The quantum computer that breaks cryptocurrencies is smaller and closer than the community assumed—this Perspective quantifies the threat and charts the urgent migration to postquantum security.

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

A minimal quantum-particle-detector model demonstrating fundamental trade-offs between entropy production and measurement accuracy is presented, providing new insights into the thermodynamic cost of information acquisition.

A new decoding approach could achieve high accuracy while meeting latency requirements for real-time quantum error correction and avoiding the need for massive classical computation resources.

Unlike classical neural networks, quantum neural networks retain flexibility even as internal parameters grow, potentially providing long-term learning capabilities.

A cold Rydberg gas is used as a tunable dissipative many-body platform to map out non-Hermitian spectral topology, revealing interaction-driven winding numbers and scan-direction-dependent nonreciprocity.

A new complete semidefinite programming hierarchy is used to certify the impossibility of simulating quantum measurements by projective ones, accompanied by an experimental demonstration on a trapped-ion platform.

A new strategy for magic-state cultivation achieves low spacetime overhead for architectures with nonlocal connectivity.

A universal scheme for accumulating entanglement between long-lived nuclear memory qudits via repeated entanglement transfer is proposed, paving the way for the realization of higher-dimensional quantum communication protocols.

An $in$ $vacuo$ parabolic mirror with fiber in and out coupling form a compact, mechanically stable device for efficient photon extraction, enabling future quantum networking experiments with neutral atoms.

Shielding optical tweezer arrays from ambient blackbody radiation extends Rydberg lifetimes, mitigating the dominant relaxation errors that bottleneck two-qubit gate fidelities in neutral-atom quantum computers.

Systematic corrections to belief propagation enable polynomial-time tensor network contraction algorithms while providing rigorous bounds on approximation errors.

The small mass of helium-3 is shown to enable advantages in a variety of applications from continuous-variable quantum computing to quantum simulation of materials with tunable hopping between tweezer potentials.

Fault-tolerant quantum computation with constant qubit overhead and low time overhead is enabled by parallelized code surgery and locally testable state preparation.

By optimizing the piezoelectric transducer’s properties in bulk acoustic resonators, researchers improve phonon coherence time and cooperativity and chart a materials blueprint for quantum acoustics.

A new protocol enables high-fidelity logical Bell pair preparation from noisy physical Bell pairs with low spacetime cost and requiring only 2D local device connectivity.

A family of three-dimensional stabilizer codes achieving single-shot error correction for fermionic and chiral topological orders is proposed, introducing new platforms for fault-tolerant quantum computation.

Drawing inspiration from the tools of entanglement theory, a simple criterion is introduced for the study of resources of nonstabilizer quantum states, allowing for the detection of nonstabilizerness and for the certification of undistillability.

A novel transmon readout architecture leverages nonperturbative cross-Kerr coupling to achieve fast, high-fidelity measurement with built-in Purcell protection.

Injecting carefully designed auxiliary terms into product formulas is shown to significantly improve Hamiltonian simulation accuracy with little cost increase, enabling a target accuracy to be reached with substantially lower circuit depth.

An on-chip magnetic levitation architecture for robust and highly tunable electron-on-neon qubits is proposed, identifying a potential pathway toward scalable quantum computation.

Phase-sensitive optical parametric amplification with simple intensity detection enables loss-invariant certification of quantum non-Gaussian light, demonstrated on a heralded quasi-single-photon state.

A new polynomial-time method designs fast, robust, programmable multiqubit entanglement gates across hundreds of trapped-ion qubits, offering a scalable route to large ion-crystal quantum computers.

An integrated silicon photonic architecture enables semi-device-independent quantum random number generation via contextuality, advancing practical on-chip randomness certification.

Researchers show that noise can destroy measurement-induced entanglement in two-dimensional circuits, with implications for the classical hardness of simulating noisy quantum computers.

Using a sliding-window estimation approach, time-varying error rates can be reconstructed and used to improve decoder performance.

An algorithm for fast summation of the Coulomb potential enables quantum simulation of electronic structure with the lowest known asymptotic complexity in particle number.

A gradient-free approach to quantum optimization based on coherent simulation of time evolution can outperform gradient-descent-based methods in query complexity and robustness to barren plateaus.

Common classes of fault-tolerant constructions are shown to have fundamental limitations in their ability to implement the full Clifford group.

A new strategy for detecting the charging energies of quantum dots exploits the response of nuclear spins.

Using non-Abelian topological order, it is shown that two-dimensional, local, and topologically protected logical gates at any level of the Clifford hierarchy are achievable.

By harnessing cross-Kerr interactions in a superconducting microwave Bose-Hubbard lattice, an experimental study reveals a first-order multimode dissipative phase transition in one dimension.

Cryogenic operation and high optical access combine to enable creation of perfect neutral-atom arrays with single-atom trapping for thousands of seconds, a key step toward large-scale neutral-atom quantum computing.

Real-time evolution and sᴡᴀᴘ operations are combined to efficiently suppress excited-state populations using multiple copies of the quantum system.

Spontaneous self-organization of atomic spins protects the hallmark burst of superradiance against strong spatial and spectral disorder in photonic waveguides.

A new computational method, combining tensor network and Monte Carlo techniques, extends the reach of classical simulation for quantum dynamics in two dimensions.

The feasibility of privately estimating continuous-variable quantum parameters in network scenarios is investigated through achievable protocols and no-go results.

Circuit quantum electrodynamics enables high-resolution spectroscopy of Pauli spin and valley blockade in bilayer graphene quantum dots, paving the way for advanced qubit control and readout.

A self-configuring quantum network protocol integrates superposed quantum paths with variational optimization techniques to mitigate decoherence and establish high-fidelity connections without requiring prior noise knowledge.

A versatile framework bridges layout-level microwave simulations with quantum dynamics, enabling realistic modeling of driven superconducting circuits beyond simplified lumped-element descriptions.

A new analytical pulse-shaping framework extends DRAG protocols to suppress multiphoton leakage in strongly driven superconducting transmons, enabling ultrafast single-qubit gates with fidelities exceeding 99.99%.

Mapping open quantum systems to higher-dimensional topological order provides a new framework for characterizing strong-to-weak symmetry breaking and nonequilibrium quantum phases.

Researchers experimentally demonstrate a new method for large-bandwidth dispersive readout, with built-in resonator reset, providing potential applications in quantum error correction.

Experiments in Ge/SiGe quantum point contacts demonstrate a gate-tunable proximity-induced superconducting gap and near-ideal superconducting conductance quantization in excellent agreement with theory.

A dual-species atomic array reduces technical overhead (no local addressing needed and nondestructive midcircuit measurements) and enables efficient entanglement purification for applications in quantum networking and distributed computation.

The unavoidable “gauge” ambiguity in learning a quantum computer’s noise does not hinder error mitigation, and this remaining degree of freedom can even be optimized to make mitigation dramatically more efficient.

Exponentially accurate simulation of open quantum systems is made viable for early fault-tolerant devices via a random compilation method requiring a minimal number of ancilla qubits.

For quantum circuits that generate complex dynamics, a single, one-site operation is sufficient to produce randomness, showcasing a trade-off between dynamical chaos and randomness.

A new heuristic approach accelerates the convergence of classical simulation of two-dimensional quantum dynamics, enabling the verification of quantum simulation experiments in previously inaccessible regimes.

An unsupervised, data-driven framework based on the intrinsic dimension of quantum trajectories provides a robust probe for detecting integrability and ergodicity breaking in open quantum systems beyond the transient regime, while new results on autonomous chaos are discussed.

A general framework for the study of statistical moments of quantum channel ensembles is introduced, providing new insights into noisy quantum circuits and variational quantum algorithms.

A conic optimization method addressing a critical challenge in key rate estimation for quantum key distribution is presented, providing tighter security bounds and fast numerical convergence.

A circuit-based framework characterizing thermal quantum phases via a correlation-decay condition is presented, establishing self-correction as a universal property of finite-temperature quantum memories.

Verification of encoded quantum systems is made possible with a scalable tool that assesses computational accuracy under general device noise.

Three-dimensional simulations of electron shuttling in realistic SiMOS devices are presented, identifying operating regimes resilient to common device imperfections and charge defects.

Using only existing error syndrome data and no additional calibration circuits, it is possible to efficiently benchmark quantum hardware and verify encoded computations.

A new study demonstrates the optical charging of spins in a quantum dot molecule, while keeping the tunability of its parameter, which can become an important building block for multidimensional photonic cluster state generation.

A new compilation algorithm asymptotically reduces the number of T gates needed to implement an arbitrary unitary quantum operation.