A new approach to assembling and maintaining arrays of ytterbium atoms combines the strengths of optical tweezers and optical lattices to enable larger atom arrays with defect repair by atom replacement.

Progress toward practical, large-scale quantum networks is achieved via a demonstration of long-term, high-quality polarization-entanglement distribution.

An efficient and practical protocol to prepare certain matrix product states using measurements and feedforward operations.

Low crosstalk levels are achieved in a superconducting quantum processor, indicating the potential of scaling up to larger numbers of qubits.

Exploring the challenges and opportunities of current and future small-satellite-based quantum key distribution is key to progress toward wider quantum networking capabilities.

The state of the art on engineering topological superconductivity for the generation of Majorana bound states and applications on quantum technologies is discussed.

A thorough presentation of quasiprobabilities elucidates their potentially pivotal use in many important areas of quantum research.

A novel theoretical approach shows that sometimes a local fridge, realized via a set of detector qubits coupled to a single link of a many-body system, is sufficient to cool into the system’s ground state.

Combined experimental and theoretical results provide novel insights into how power is radiated to a superconducting quantum processor.

A novel bound in Bayesian quantum metrology connects the unextractable information with the amount of quantum coherence in a state.

A study demonstrates the robustness of symmetry-protected topological order in mixed states and quantum trajectories dynamically generated by various dissipation channels.

Demonstration of high indistinguishability from disparate nodes presents a path toward interconnecting diverse quantum systems.

A novel quantum-classical algorithm designed to classically capture the effective action of quantum circuits on bipartite systems is introduced to help predict nonlocality and reduce quantum computing resources.

Understanding the various impacts of imperfection on quantum teleportation leads to a stronger theory of measurement-altered quantum criticality and potentially more optimized teleportation protocol design.

An investigation of cavity coupling to germanium-vacancy centers indicates a possible path toward a practical, coherent spin-photon interface via tunable microcavities.

New exact results place fundamental bounds on the temperature that a qubit system can reach when cooled by other qubits.

A new study analyzes the decomposability of many-body quantum systems in terms of ensembles of short-range entangled states.

A novel approach shows that cross-correlations between classical and quantum simulations can be used to observe measurement-induced collective phenomena without postselection.

Motional squeezing is shown to enhance Wigner negativity in quantum states of anharmonic mechanical oscillators, opening the way for experimental control that is more robust against decoherence.

A tensor-network approach significantly improves the efficiency of computing the quantum weight-enumerator polynomials, thereby pushing enumerators to quantum error-correction codes that contain hundreds of qubits.

The impact of hardware noise on the capabilities of equivariant quantum neural networks is explored, and strategies for mitigation are addressed.

A novel, hybridized method for generalized quantum measurements demonstrates improved resource scaling and fidelity on near-term quantum hardware.

A new approach to assembling and maintaining arrays of ytterbium atoms combines the strengths of optical tweezers and optical lattices to enable larger atom arrays with defect repair by atom replacement.

Realistic nonunital noise models are studied in the context of random quantum circuit experiments, imposing new constraints on near-term quantum advantage experiments.

A novel thermodynamic framework constructs Hermitian operators to identify ideal inputs that optimize finite-time processes.

Topological frustration is shown to dramatically increase the performance of charging and discharging quantum batteries.

A new quantum neural network, which preserves rotational symmetries of two-dimensional data, outperforms previous quantum models for image classification tasks.

A new technique for controlling individual trapped ions using microwaves is demonstrated.

A continuous- and discrete-variable hybrid quantum computation scheme is developed to correct dominant loss errors and have high loss thresholds, opening up new resource-efficient routes toward fault-tolerant quantum computing.

A demonstration of the measurement of the Loschmidt amplitude in a Fermi-Hubbard simulator opens exciting perspectives for hybrid classical-quantum algorithms.

Through the optimization of applied gate voltages, two electrons trapped above liquid helium are shown to generate the entanglement needed for two-qubit operations via their mutual Coulomb interaction.

A new unifying scenario is presented in which two different time-crystalline orders are separated by a nonequilibrium phase transition.

New results of the performance of Steane error correction in trapped ions demonstrate improved logical fidelities and reveal a competitive approach for fault-tolerant quantum computing.

A regime of open system dynamics is shown to function as a quantum error-correcting code, dynamically protecting quantum information against generic weak boundary dissipation.

A novel algorithm that can characterize topological orders in both prime- and nonprime-dimensional qudit stabilizer codes is introduced.

A new model of stochastic entanglement dynamics uncovers the impact of quantum jumps and non-Hermitian evolutions in measurement-induced phase transitions.

Progress toward practical, large-scale quantum networks is achieved via a demonstration of long-term, high-quality polarization-entanglement distribution.

A novel hybrid approach for detecting Bell states boosts the fidelity of quantum teleportation and entanglement swapping by combining different detection techniques.

Magic in monitored quantum circuits has an impact on classical simulability transitions that goes beyond entanglement; these transitions can be driven by the degree to which magic can spread within the system.

A physically inspired fermion-to-qubit mapping that significantly simplifies entanglement requirements helps enhance the performance of quantum and tensor network algorithms to simulate the ground states of small molecules.

A new simplified randomized benchmarking protocol can be used to characterize large hardware with efficient classical postprocessing.

The experimental detection of macrodimerons confirms a novel, theoretically predicted molecular binding mechanism based on strong light-matter coupling.

An acoustic resonator is used to drive Rabi oscillations between excited-state orbitals with good agreement with a theoretical model of the dynamics.

A resonator is inductively coupled to a superconducting island, enabling fast and high-fidelity measurement of its parity.

State-of-the-art randomized measurement techniques allow for error-mitigated estimation of quantum Fisher information and verification of quantum metrological advantage on NISQ devices.

Dynamic circuits that exploit midcircuit measurements, conditional feed-forward operations, and real-time logic outperform unitary quantum circuits on a large-scale quantum device.

A novel dissipative variational quantum algorithm, which outperforms previous unitary approaches, is proposed to study the ground-state properties of the ℤ${}_2$ lattice gauge theory.

Experimental exploration of phase slips in fluxonium qubits validates theoretical models and identifies design parameter bounds to prevent decoherence.

An investigation of higher-order cellular automata in the context of many-body physics shows the emergence of a large class of unexplored symmetry-protected topological phases of matter.

Using tools from universal quantum computation with magic states, a widely believed hypothesis—that the inefficiency in quantum computations arises owing to tracking enormous amounts of classical data—is falsified.

An efficient and practical protocol to prepare certain matrix product states using measurements and feedforward operations.

A new protocol enables the generation of arbitrary symmetric entangled states using only global single-qubit rotations in a torn Hilbert space, offering applications in variational quantum optimization with existing technology.

Autonomous stabilization of remote entanglement is achieved experimentally with a pair of noninteracting superconducting qubits connected by an open waveguide.

Higher-frequency superconducting qubits with increased thermal resilience are produced, allowing for scaling up of quantum processors with high heat dissipation budgets.

Numerical studies suggest that quantum optimization may provide a polynomial speedup over the best classical solvers for constraint satisfaction problems.

A new dressed-state-based method for imaging ultracold atoms achieves subwavelength resolution and reveals the complementary capabilities of two opposite imaging strength regimes to spatially resolve nanoscale quantum states.

Low crosstalk levels are achieved in a superconducting quantum processor, indicating the potential of scaling up to larger numbers of qubits.

A novel scattering-mitigation scheme, using only an integrating sphere, is experimentally demonstrated to recover nearly 50% of mutual information in a quantum correlated two-mode squeezed state of light, despite a photon loss exceeding 85% in one of the modes.

Optimizing the weights of decoders using flag-qubit information achieves an increase in the threshold for color codes in quantum computing.

A new approach for shaping single-qubit control pulses is experimentally shown to achieve fast gates with low errors and efficient calibration.

Probabilistic port-based teleportation is shown, for the first time, to allow a polynomial-size quantum circuit implementation.

Three equivalent formulas for classical stochastic entropy production become inequivalent in the quantum domain, revealing new facets of entropy production for quantum systems.

A novel class of quantum circuits reveals how breaking space-reflection symmetry induces chiral spin transport, challenging traditional equilibrium concepts through a violation of the Gallavotti-Cohen symmetry.

Inductive coupling between a superconducting resonator and a Josephson junction in germanium by means of flip-chip bonding enables microwave spectroscopy, showing discrete and gate-tunable Andreev bound states in short and long junctions.

A new experimentally feasible proposal for simulating large-scale non-Abelian lattice gauge theories with dynamical matter using spin-exchange interactions.

Quantum algorithms and quantum machine learning could assist high-energy physics, ranging from studying neutrino oscillations to reconstructing particle trajectories in colliders.