Searching for heavy sterile neutrinos in the keV–MeV mass range is possible with a nanometer-scale, optically levitated quantum sensor.

A new atomic-scale sensor capable of reading out multiple qubits is engineered, providing a pathway for increasing on-chip qubit density.

A low-noise parametric amplifier based on kinetic inductance, suitable for integration with quantum systems in magnetic fields, is experimentally demonstrated

A new method based on dynamical decoupling is shown to significantly enhance the coherence of quantum simulations.

A pedagogical and comprehensive introduction to the full quantum description of intense laser-matter interactions and its potential for quantum state engineering is presented.

Techniques used to study quantum emitters are pedagogically introduced, highlighting nuances and best practices on assessing their suitability for quantum information science.

The newly introduced concept of Bell magic allows quantifying the quantum computing resource necessary for advantage in an efficient and practical way.

A trapped-ion simulator shows quantitative agreement when probing critical behavior around a quantum phase transition.

A method for mitigating errors in near-term quantum computers utilizing randomized measurements explores the trade-off between the number of measurement settings and the number of repetitions of each measurement.

A systematic method for constructing topological defect networks for a wide range of lattice Hamiltonians is presented.

Instead of directly preparing Gibbs states, a more efficient quantum algorithm to estimate them is proposed: generate thermal pure quantum states and use classical shadow tomography.

A novel approach, based on local gauge symmetries of quantum master equations, is developed to produce nonreciprocal interactions, something which previously was only possible with cascaded systems.

A novel technique, called bias randomized benchmarking, is developed to assess the bias in controlled-not quantum gates, a crucial step for advancing quantum error correction in biased-noise systems.

A wavefront shaping approach enables protection of high-dimensional entangled photons traversing a scattering medium, a situation that typically hinders the building of practical quantum microscopy and quantum key distribution.

Using newly developed quantum entropic and concentration inequalities, two complementary sets of results are derived that provide a better quantitative understanding of the limitations of variational quantum algorithms.

A clever method for implementing Floquet codes on topological platforms can lead to an error-correction performance significantly superior to that achieved with the ubiquitous surface code.

A new perspective on the emergence of statistical behavior in chaotic quantum many-body systems is presented, establishing projected ensembles as a relevant tool for the characterization of information-theoretic properties.

A hybrid approach to achieving coherent control, dubbed COLD, promises substantial improvement when applied to annealing protocols, state preparation schemes, entanglement generation, and population transfer on a lattice.

A detailed investigation considers if genuinely quantum operations can accelerate routing—the task of permuting qubits within a quantum computing architecture.

The lack of physical space on superconducting quantum devices is experimentally tackled by utilizing an extended floating coupler design, enabling large physical distances between qubits.

Searching for heavy sterile neutrinos in the keV–MeV mass range is possible with a nanometer-scale, optically levitated quantum sensor.

A new encoding scheme for Rydberg atom arrays is introduced, opening their use for solving a large class of combinatorial optimization problems.

A novel architecture is used to boost the density-matrix renormalization group, an important and widely used algorithm, impressively pushing the boundary of the current state of the art by at least an order of magnitude in complexity.

An efficient method to extract higher-order density-matrix functionals and access operator entanglement is introduced and tested on experimental data, improving the characterization of nonequilibrium dynamics of many-body quantum systems.

A new atomic-scale sensor capable of reading out multiple qubits is engineered, providing a pathway for increasing on-chip qubit density.

A deep dive on how the language of the holographic principle can simplify our understanding of quantum information processes (and vice versa), leading to a path toward exploring holographic theories of quantum gravity in tabletop experiments.

A comprehensive investigation on how size winding of quantum operators connects to bulk gravitational physics and traversable wormholes is presented, together with a proposal on possible realizations in near-term quantum devices.

A low-noise parametric amplifier based on kinetic inductance, suitable for integration with quantum systems in magnetic fields, is experimentally demonstrated

Coherent control between a nuclear spin and the electron spin of a rare-earth erbium ion is achieved, opening a path toward telecom-wavelength long-distance quantum repeaters.

Subradiance and superradiance are experimentally simulated on quantum processors, providing a detailed experimental and theoretical analysis of the noise properties of current devices and how they impact the quantum simulation accuracy.

Faster and more flexible gate set tomography via low-rank manifold optimization serves as a practical characterization and quantum software calibration tool.

An equivalence is proved between various fermion-to-qubit mappings and the exact bosonization method that utilizes the emergent fermions in the $Z$${}_2$ topological order.

Quantum circuit optimization software is presented that eases the effect of device variability, increasing fidelities by as much as 40% on near-term quantum processors.

A blueprint for exploiting symmetries in the construction of variational quantum learning models that can result in improved generalization performance is developed and demonstrated on practical problems.

A new readout scheme for electron spin qubits is introduced, paving the way for a more scalable spin-qubit platform.

An ultrafast secure quantum random-number generator in a chip-scale platform is demonstrated.

The properties of the volume-law-entangled phase of weakly monitored quantum circuits are related to the classical statistical mechanics of a directed polymer in a random environment, shedding light on the stability of volume-law entanglement in the presence of repeated projective measurements.

A novel framework identifies the necessary thermodynamic resources for producing pure quantum states, connecting the third law of thermodynamics with Landauer’s principle and highlighting the role of information and complexity in thermodynamics.

A quantum nondemolition measurement with optical parametric amplifiers opens a path for novel non-Gaussian quantum engineering.

A new method based on dynamical decoupling is shown to significantly enhance the coherence of quantum simulations.