Multiplexing entanglement attempts across multiple qubits in a quantum network node increases the entanglement rate without reducing fidelity.

An experimental demonstration shows that quantum squeezing can be used to amplify a Hamiltonian’s effect—even when the Hamiltonian is unknown.

High-fidelity two-qubit gates are achieved with heavy-fluxonium qubits, circuits that break many conventional superconducting circuit paradigms, bringing more diversity for quantum applications.

Site-resolved control and detection of rotational states of molecules trapped in an array of optical tweezers is demonstrated, opening up applications in quantum metrology, simulation, and sensing.

Harnessing the multilevel structure and constituent atoms of polar molecules allows us to extend the state preparation and measurement capabilities for broad applicability in quantum information, simulation, and metrology.

Production of ultracold lithium-chromium (LiCr) molecules and thorough characterization of their properties establishes LiCr as a prime candidate for the realization of quantum gases of doubly polar molecules.

As quantum computing transitions into the fault-tolerant regime, understanding how best to utilize available architectures becomes paramount.

A pedagogical overview of analytical and numerical techniques used to characterize current fluctuations in Markovian systems is presented, helping to bridge knowledge between condensed-matter physics and quantum optics.

A pedagogical hands-on guide to quantum master equations and their numerical implementations, tailored to newcomers interested in interdisciplinary research.

A quantum-dot charge sensor is used to probe Andreev bound states and Andreev molecules, enabling one to resolve even and odd states based on charge, without affecting the parity.

Coherent control of Bloch oscillations is achieved for a nine-qubit one-dimensional superconducting circuit, opening a route to modulate electron transport.

GRAPE, a ubiquitous quantum control technique, is extended to allow the suppressing or boosting of biochemical radical-pair reactions.

Measurement-induced phase transitions in quantum many-body systems are studied from the perspective of the classical detection record and the corresponding information transfer.

The interpretation of measurements as condensation and the idea of rewinding the measurement sequence are applied to Floquet codes, creating novel codes such as the three-dimensional Floquet toric code.

A superconducting circuit experiment reveals a twofold increase in qubit-photon interactions using antisqueezing, marking a pioneering step toward dynamically controlled quantum interactions.

An improved qubit encoding extends the lifetime of the quantum memory, enabling the distribution of entanglement over a metropolitan-scale distance.

Multiplexing entanglement attempts across multiple qubits in a quantum network node increases the entanglement rate without reducing fidelity.

An efficient algorithm for quantizing circuits is presented, allowing the exploration of new situations where standard methods based on a Lagrangian description fail.

A novel class of quantum error-correcting codes, dubbed subsystem Abelian quantum double codes, is introduced and is used to better understand the single-shot property of topological codes.

A new, general protocol to simulate bound-state scattering with a quantum algorithm that directly excites wave packets in the interacting theory.

New quantum random-access memory architectures based on high-coherence superconducting cavities allow suppression of the detrimental effects of noise.

The complete solution of the equilibrium properties of an Ising model with all-to-all and random interactions between qubits in the presence of a field in multiple directions is obtained.

An experimental demonstration shows that quantum squeezing can be used to amplify a Hamiltonian’s effect—even when the Hamiltonian is unknown.

A new scalable algorithm for efficiently preparing ground states of gapped theories is demonstrated in the Schwinger model on 100 qubits.

A novel experimental realization of a strontium quantum-gas microscope allows site-resolved imaging of a Bose-Hubbard superfluid in an optical lattice.

A method that makes use of ideas from convex optimization is proposed for efficiently computing rigorous bounds on the performance of noisy quantum circuits.

Graph-theoretic tools are used to obtain rigorous lower bounds on the ground-state energy of quantum many-body Hamiltonians made up of Pauli strings.

Novel results show that there are entanglement advantages even in protocols involving only two-party product measurements, opening the way to new entanglement certification schemes.

A competitive technique for measuring magnetic fields of several teslas is proposed, and applications in medical MRI are demonstrated.

An active, on-demand dissipation device provides faster readout resonator reset and improved transmon coherence, creating a modular tool for entropy removal in circuit QED.

An effective quantum field theory for composite bosons is proposed that could facilitate modeling higher precision clocks and matter-wave interferometers including relativistic effects.

In integrable quantum impurity models, inelastic photon scattering builds up from purely elastic scattering of quasiparticles, illuminating an elusive quantum phase transition.

A framework for constructing qubit-efficient algorithms that sample properties of matrix functions is developed, with a concrete application for calculating Green’s functions of quantum many-body systems.

Enhanced control over qubit interactions is achieved using a ring resonator, with a left-handed dispersion relation and a dense mode structure, as a coupling bus for qubits.

High-fidelity two-qubit gates are achieved with heavy-fluxonium qubits, circuits that break many conventional superconducting circuit paradigms, bringing more diversity for quantum applications.

A new study introduces quantum-informed recursive optimization algorithms, leveraging quantum resources for classical reductions in combinatorial optimization and demonstrating effectiveness on neutral-atom quantum processors.

Group-equivariant quantum neural networks utilize symmetries to alleviate central challenges in trainability and generalization in quantum neural-network architectures.

A new theoretical framework to account for collective quantum optical effects in the scattering of photons by atomic arrays.

An algorithm, based on randomized compilation of the Hamiltonian terms, for high-precision quantum simulations is introduced.

New theoretical work demonstrates how consistent models of effective classical-quantum dynamics emerge in a limit of quantum theory.

A novel quantum algorithm, which exploits the relation between the Lindblad master equation, stochastic differential equations, and Hamiltonian simulations, is proposed to simulate open quantum systems on a quantum computer.

Site-resolved control and detection of rotational states of molecules trapped in an array of optical tweezers is demonstrated, opening up applications in quantum metrology, simulation, and sensing.

Nitrogen-vacancy centers in diamond can be used to access the state of optically dark paramagnetic nitrogen defects, which in turn can be used as quantum sensors to extract information about their local environment.

New results on asymptotic state interconversion open the way for novel coherent thermodynamic protocols.

Three optimization tools that make fault-tolerant error correction more practical are introduced to reduce resource requirements and improve the performance of a wide class of quantum error-correcting codes.

A sufficient condition for universal quantum computation with continuous-variable systems is derived through a novel generalized mapping between bosonic and qubit states.

An experimental realization of $i$sᴡᴀᴘ and $B$ gates in fixed-coupling transmon processors shows that these systems support multiple high-fidelity native two-qubit gates.

A new study unveils a step-by-step framework for engineering tunable entanglement between spin qubits in quantum dots via the sidebands of driven qubits, paving the way for modular quantum information processing in these solid-state platforms.

A novel platform based on multiterminal Josephson junctions in hybrid semiconductor-superconductor structures provides a potential path toward the realization of protected qubits.

A quantum-inspired classical method is employed to solve graph theory problems with a comparable performance to Gaussian boson sampling.

Microwave single-photon detection has been realized experimentally with a superconducting Josephson device operated near the parametric critical point.

Novel results use intrinsic mixed-state properties of decohered topological quantum memory to characterize its optimal decoding threshold.

Harnessing the multilevel structure and constituent atoms of polar molecules allows us to extend the state preparation and measurement capabilities for broad applicability in quantum information, simulation, and metrology.

New quantum circuit designs that implement fault-tolerant code-switching protocols are developed to run on realistic noisy quantum hardware.

An approach to deterministically generate any multiphoton qudit graph state, including those needed for a range of photonic quantum information technologies, is presented.

New techniques are developed that allow quantum many-body properties to be probed in a scalable way, facilitating future investigations of quantum measurements.

A demonstration of practical, on-chip certified-random-number generation with photonic qubits achieves the highest standard in randomness.

Novel decoding methods leverage analog measurement information in bosonic quantum low-density parity-check codes.

SU(1,1) interferometry is used to measure the simultaneity of two photons from a time-frequency entangled pair, assessing their suitability for ultrafast quantum spectroscopy.

A new study introduces effective solutions for sequential quantum information tasks, enhancing finite-state automaton analysis, many-body entanglement detection, and adaptive protocol development for magic state detection.

The local-information time-evolution approach efficiently simulates the dynamics of local observables in many-body quantum systems by systematically removing large-scale correlations via the information lattice.

A substantial enhancement in the speed and fidelity of shuttling due to a large spin-orbit interaction paves the way for realizing scalable semiconductor quantum computers.

Novel results determine the fundamental physical limitations on how well one can discriminate between two or more different bosonic dephasing noise mechanisms.

Spin-cat codes in neutral-atom qubits yield the potential for fault tolerance with a high threshold and low resource overhead.

A qubit based on a triple quantum dot extends its coherence time by carefully shuffling the locations of its electrons.

A novel, scalable entanglement-enhanced method for retrieving high-order moments from noisy quantum states offers a promising approach for practical quantum devices.

Production of ultracold lithium-chromium (LiCr) molecules and thorough characterization of their properties establishes LiCr as a prime candidate for the realization of quantum gases of doubly polar molecules.

The Knill-Laflamme-Milburn teleporter is adapted to a proposed near-optimal linear-optics noiseless amplifier.

A novel study shows that nonorientable space enables new, almost transversal, logical gates that can help eliminate large error propagation in the standard surface code.

An adiabatic gauge potential is constructed to improve upon standard DMRG methods for computing low-energy spectra of quantum many-body systems, allowing the efficient and automatic scanning of the entire phase diagram.

Tensor network algorithms optimize fixed-depth quantum circuits to capture adiabatic evolution, enabling adiabatic quantum computing on gate-based devices.

Enhanced scalability in Yb atom qubit arrays can be achieved by connecting neutral-atom quantum computer modules with high-fidelity entanglement at rates approaching 10${}^5$ Bell pairs per second.

A machine-learning approach to readout of general quantum systems improves real-time processing of measurement data by adapting to complex quantum noise conditions.

Novel results show that many-body scars are suitable for adiabatic evolution despite the absence of energy gaps.

Measurement-driven control can optimally use the Zeno effect to realize robust and rapid quantum state transfer.

A statistical learning theory, based on empirical risk minimization and a generalization of shadow tomography, is developed for learning processes that map a classical input to a quantum output.

The class of functions that can be used in quantum signal processing is expanded, providing new tools for quantum algorithm development.