A concrete proposal for a 1000-qubit trapped-ion quantum processor takes advantage of integrated switching electronics to reduce the wiring complexity without reducing operation fidelity.

A single-molecule thermometer provides two-dimensional mapping with high spatial and temperature resolution under cryogenic conditions.

A pedagogical guide to understand important aspects of the physics and complexity of quantum many-body systems, focusing on short-range interactions and thermal equilibrium.

First-principle calculations and experimental validation show that color centers in diamond exhibit large hyperfine coupling, making them promising candidates to build quantum registers.

Classical variational methods are used to simulate the dynamics of two-dimensional quantum models with continuous degrees of freedom using neural networks, pushing the limits of classical computation in simulating these systems.

An improvement and detailed accounting of the fault-tolerant resources required for $ab$ $initio$ simulation of periodic systems provides context for quantum computation in materials science.

A novel resource-theoretic framework is developed to bridge the gap between thermodynamic processes with and without memory effects.

Preprocessing protocols for quantum control are optimized using Fisher information to set ultimate precision bounds for noisy measurements of quantum states.

Discrete-modulated continuous-variable quantum key distribution is provably secure under experimentally viable conditions in the finite-key regime against collective i.i.d. attacks.

Local quantum theory is found to impose novel limitations on causal structures and correlations.

Alkaline-earth atoms are trapped with fields from a nanophotonic structure for the first time, with possible applications in quantum sensing and atomtronic-photonic circuits.

A systematic study of chaotic quantum dynamics with measurements shows that outcome-dependent feedback is needed to observe measurement-induced phases of matter.

A continuous-variable optical setup is used to simulate the open-system quantum dynamics with engineered environments, with applications in quantum biology, synchronization, and understanding the quantum-to-classical transition.

An efficient method for modeling and measuring noise in a quantum device is proposed and experimentally tested, helping to illuminate the effectiveness of error correction against correlated noise.

A new method, based on singular values of non-Hermitian matrices, is shown to be able to identify chaos and nonintegrability in open quantum many-body systems.

A concrete proposal for a 1000-qubit trapped-ion quantum processor takes advantage of integrated switching electronics to reduce the wiring complexity without reducing operation fidelity.

A single-molecule thermometer provides two-dimensional mapping with high spatial and temperature resolution under cryogenic conditions.

Measurements of quantum quench phase shifts enable a direct probe of an NV center’s nuclear spin-bath polarization, with applications in quantum memories and metrology.

A new perspective on cat-qubit gates is introduced, leading to four new gate designs that improve upon the standard Zeno gate and that can increase gate fidelities by an order of magnitude for realistic experimental parameters.

A novel quantum many-body method is developed for measuring magic, a fundamental resource in quantum information protocols.

Novel results show that the quantum Fourier transform is compatible with area-law entanglement dynamics, opening the way for classical simulations using tensor networks.

A full-stack approach to the energetics of quantum computers is introduced, allowing one to minimize their energy consumption for a given computational accuracy.

Spaceborne quantum communication protocols are studied under restrictive eavesdropping scenarios, showing that even simple QKD protocols can offer positive key rates at high channel losses.

Direct control of the longitudinal coupling between fluxonium qubits and their coupler enables a novel entangling gate.

Linear-optical quantum information processing is shown not to intrinsically reduce the loss tolerance performances of quantum error correction.

A quantum repeater protocol that distributes three-qubit $W$ states over arbitrary distances with polylogarithmic overhead is introduced.

Continuous weak measurements enable reconstruction of time-dependent Hamiltonians, enhancing the time resolution of quantum gate errors beyond what is revealed by standard tomographic and benchmarking techniques.

A detailed resource analysis of an established quantum algorithm for convex optimization reveals that the practical run times implied by this quantum solution are impractical for problems of interest in finance.

Building on the insight of unraveling noise channels into optimized measurements, a classical algorithm for sampling noisy random circuits is developed, increasing our understanding of the boundary of “practically hard” quantum computation in real-world noisy settings.

A general construction shows how to design unconventional interaction processes in bosonic systems, providing a route for the exploration of exotic quantum phases of matter.

The interplay between measurements, reconstructed observables, and the estimators used to process measurement outcomes is examined in a framework that connects shadow tomography with the general theory of measurement frames.

Noise can be used as a computational resource for simulating open quantum systems on NISQ devices.

A judicious application of the so-called pretty-good measurement in quantum coding considerably simplifies the derivation of one-shot achievability, sharpening many existing quantum information-processing protocols.

The concept of unitary designs is extended to scenarios involving symmetry, which can be applied in the contexts of randomized benchmarking and many-body simulations.

Quantum correlation and information spread superlinearly with time in quantum dynamics subject to repeated measurements.

Novel techniques based on Lie group and algebraic quantum optimal control are employed in a new protocol to implement entangling universal logic gates on qudits.

The advantage of decoding large instances of GKP codes from a lattice perspective is demonstrated, and several instances of optimized GKP codes that outperform the currently known codes are found.

An efficient method to evaluate the trainability of variational quantum circuits allows for the exploration of strategies to overcome the barren plateau problem.

The impact of noise on the accuracy of a quantum clock is investigated, unveiling a necessary and sufficient requirement for accuracy that extends standard error-correcting conditions to quantum metrology.

A new machine-learning algorithm for predicting unknown quantum dynamics is presented.

A general, experimentally accessible scheme to bound entanglement in a system of cold atoms in an optical lattice is presented.

Long-lived non-Gaussian states are identified on Rydberg atom arrays, laying out a proposal for their observation and use as a stable resource for quantum information protocols.

Classical smoothing theory is shown to not be always applicable to quantum systems, even when both the filtering and retrofiltering appear classical.

A phase-estimation method to find energies of quantum many-body systems is tested on a real quantum processor, combining statistical methods and error-mitigation techniques.

The reach of circuit quantum acoustodynamics is expanded, providing a path for developing new quantum sensing and information processing schemes with phonons at frequencies below 700 MHz.

A proposed quantum control protocol uses a central spin to prepare two spin ensembles in a singlet state.

Leveraging parallelization in time, a scalable decoding paradigm for topological quantum error-correction codes effectively resolves the exponential backlog problem without compromising decoding accuracy.

A new quantum tomography method inspired by variational matrix-product-state ansatze is introduced and benchmarked in a 20-qubit quantum simulator.

A new method for ion-trap thermometry is developed and tested, showing accuracy for large 1D and 2D ion crystals, accounting for quantum many-body effects.

Statistical correlations generated across the nodes of a quantum network are used to infer the network topology using entropic quantities.

Stability of quantum many-body scars in spin-1/2 fermionic systems under typical perturbations is investigated, revealing insights for experimental detection and theoretical and quantum computing applications.

New insights on the hardness of topological data analysis and the possibility of quantum advantage.