A blueprint for future quantum network applications: Devising a noise-robust, blind and verifiable protocol for delegating BQP computations to a powerful server.

A full quantum repeater node is realized in a compact setup, combining two challenging requirements together: Long coherence time and multi-cell memory with individual addressing.

A new quantum error mitigation method outputs results within a few seconds for a sizable system–a feat that would otherwise be impractical.

The swing up of quantum emitter population (SUPER) scheme, taking a radically different off-resonant approach to coherently excite a two-level system, is explained and proposed for single-photon generation from quantum dots.

Classically ubiquitous and promising in the quantum realm: The prospects and challenges for implementing LDPC error correcting codes are presented.

A newcomer guide on applying tools from machine learning to solve problems in condensed-matter physics and quantum information: From key ingredients to the implementation.

The core techniques that underlie typical cQED experiments are laid out, offering a guide on how one can design, construct, and characterize a quantum device.

This tutorial surveys the recently developed Quantum Singular Value Transformation and showcases how the three major quantum algorithms (search, factoring, and simulation) can be unified as instances of this transformation.

The tools for designing and analyzing superconducting circuits are laid out, going from basic prototypes up to modern and sophisticated approaches, such as fluxonium and 0-/pi qubits.

Crucial drawbacks on quantum phase estimation algorithms, such as exponential time overload and the use of fragile GHZ states, can be overcome using Gaussian spin states and an adaptive measurement protocol.

A blueprint for future quantum network applications: Devising a noise-robust, blind and verifiable protocol for delegating BQP computations to a powerful server.

Using quantum optimal control methods, experiment shows preparation of arbitrary momentum states of a Bose-Einstein condensate in an optical lattice.

Three distinct campus buildings are connected using time-synchronized signals and flex-grid entanglement distribution, leading to the first deployed fiber network demonstration of remote state preparation.

Randomly sampled product formulas concentrate sharply around the ideal time evolution.

A two-dimensional array of four tunable double quantum dots, each representing one singlet-triplet qubit, is implemented that constitute a toolset for the simultaneous operation of multiple qubits on a chip.

A full quantum repeater node is realized in a compact setup, combining two challenging requirements together: Long coherence time and multi-cell memory with individual addressing.

Powerful technical tools are used to prove general theorems on random matrix product states, leading to valuable insights into how and when quantum systems equilibrate.

Quantum geometric measures are presented to analyze parameterized quantum circuits, allowing one to identify improved quantum circuits and initialization techniques that enhance the performance of variational quantum algorithms.

The theoretical foundation for designing semiconductor electronic devices with fine control of the properties of quantum spin centers is presented.

An experimentally friendly protocol for quantum simulating lattice gauge theories that preserve local gauge invariance leads to an exponential improvement over previous results.

A description of anyons as a statistical mixture of bosons and fermions is investigated, connecting concepts from quantum optics, quantum control and topological states of matter, among others.

An innovative flux crosstalk calibration that is circuit model independent and automated is presented, helping to reduce the errors of quantum devices, such as those used for quantum annealing.

The challenges for coupling distant NV centers motivate a concrete practical proposal to entangle spin qubits with magnons.

A versatile formalism for representing continuous-variable states is presented, providing new tools for simulating and analyzing bosonic qubits in a practical regime.

Surplus of entanglement is shown to hinder the successful training of quantum machine learning algorithms.

A metrological method for reliably reading signals with many-body quantum systems: Realizing an entanglement-enhanced lock-in amplifier is possible.

The challenge of engineering Fabry-Pérot cavities that simultaneously present large tunability, high mechanical stability, and operate at cryogenic temperatures under closed-cycle conditions is solved by a combination of vibration reduction techniques

Space-time rotation of quantum circuits relates the phenomena of many-body localization to the phase transitions induced by measurements in monitored quantum systems.

A framework based on Lie algebra provides an efficient scheme for measuring quantum observables, leading to record low numbers of measurements in typical molecular systems.

A question answered by quantum information and hypothesis testing: How many training samples are needed to learn the classification of quantum states via quantum machine learning?

Disadvantages of standard analog quantum annealing hardware are inspected, offering ways to benchmark and guide new studies on chip design.

Bell experiments with measurement dependence are mapped into causal networks, leading to new nonlinear Bell inequalities and bounds that clearly signal nonclassicality.

A bottleneck for scaling quantum hardware is solved: An AI-based technique to design quantum gates without knowledge of the physical model or the noise processes is demonstrated experimentally, outperforming the best human-designed gates.

Neutral atom quantum simulators can help benchmark a new approximation algorithm to study many-body systems in a regime that is computationally intractable with existing numerical methods.

A new quantum error mitigation method outputs results within a few seconds for a sizable system–a feat that would otherwise be impractical.

Continuous variable algorithms for quantum compilation are developed, establishing a connection with quantum learning theory through a collection of no-free lunch theorems.

Two different diagnostic-based schemes to determine the performance of quantum Otto engines are compared; their stark differences demonstrate the importance of incorporating the effects of measurements on the properties of such quantum devices.

An efficient quantum algorithm for the direct preparation of the eigenstates of an interacting many-body problem is presented.

An ab initio learning process leads to an efficient and intuitive error mitigation strategy, seeding many ideas in a rapidly evolving field.

The efficiency of classical methods for local properties of quantum systems is explored, showing how tensor networks can efficiently describe equilibrium and dynamical properties.

The future is first-quantized: A complete cost analysis of quantum algorithms adapted to first quantization shows that the approach is unrivaled for high accuracy simulations of solid-state materials and certain chemical compounds.

Based on the standard derived from atomic clocks, the essential working principles of gravitational redshift tests are transferred to atom interferometers, highlighting the resulting quantum tests of general relativity.

Sending four different quantum states randomly enables a protocol that satisfies the requirements of deploying large-scale secure communication networks.

A trade-off between computational accuracy and required resources to execute a quantum algorithm is derived, providing a tool to design and optimize experiments.

An efficient pulse control technique is presented to implement entangling gates with dispersively coupled transmon qubits.

The learnability of quantum neural network, which includes its convergence behavior in optimization and the ability to efficiently learn classes of computationally hard concepts is investigated, providing theoretical guidance for developing advanced protocols in the NISQ era.

Novel tomographic methods are used to obtain quantitative information about crosstalk in quantum processors, leading to the identification and characterization of resulting errors.

A cryptographic application of multipartite entanglement is presented, that serves as a rigorous and practical benchmark for near-term quantum networks.

A number of new random matrix theory averaging techniques is established and applied to the connection between quantum information and quantum gravity via black holes, holography, and quantum chaos

A large variety of superconducting qubits built from geometric superinductances are demonstrated, highlighting several crucial advantages stemming from the small footprint, high degree of control, and design flexibility.

A method to reduce the number of required measurements to execute certain algorithms, such as VQE, is developed and shown to offer competitive advantages over other state-of-the-art approaches.

Calibrating a quantum computer should not require days or weeks: A method is presented to accurately estimate quantum parameters and evade noise much more efficiently than with any state-of-the-art technique.

Quantum state transfer and entanglement distribution in the magnonic network are predicted, and a connection between optomechanics and optomagnonics is established.

A method to construct logical qubits with extremely low logical error rates: The engineering overhead for building fault-tolerant quantum computation can be reduced to a handful of photonic and phononic components currently available.

By establishing a connection between quantum thermodynamics and non-Hermitian physics, the significance of exceptional points in the short- and long-range dynamics of the system is highlighted.

A novel quantum bit, the Yu-Shiba-Rusinov qubit, originating from two nearby adatoms deposited on an s-wave superconductor, is proposed for controlling and reading out topological qubits based on Majorana zero modes, facilitating the implementation of a universal set of quantum gates.

A recipe to create multi-qubit gates that uses existing quantum hardware– without any additional components, complicated pulse shapes, or changes in design–is proposed, promising a reduction in circuit depth, and executions that are faster than their two-qubit counterparts.

Vanishing quantum speed limits are shown to be linked with reduced uncertainty in quantum observables, helping to understand the emergence of classicality.

A quantum-enhanced measurement technique based on entanglement can increase the scan rate of axion dark matter detection by up to a factor of 15.

A set of methods is derived to estimate the effects of temporally-correlated noise, determine their time scales and recognize the types of noise, proven on selected examples.

A method is developed to predict low-lying eigenspectra in representative molecular systems: Substantial compression is achieved with reasonably short circuit depths and modest measurement costs.

A GKP-based quantum computing architecture whose entangling stage is free of inline squeezing and reconfigurable optical elements promises to expedite the construction of a photonic quantum computer.

The swing up of quantum emitter population (SUPER) scheme, taking a radically different off-resonant approach to coherently excite a two-level system, is explained and proposed for single-photon generation from quantum dots.

Machine learning will do better if the quantum nature of the dynamics is part of the training: A physics-inspired approach for device characterization is demonstrated.

Using a specially designed 19-core multicore fiber, the distribution of polarization-entangled states multiplexed in the spatial degree of freedom is achieved.

Entanglement-assisted communication protocols are analyzed, deriving optimal bounds for the correlations established between two parties that exchange messages in the presence of noise.

The role of spin-valley entanglement as a source of errors for technologies based on multiqubits silicon quantum dots is investigated, showing that detrimental effects can happen even when the system temperature is very low.

A scheme based on an interference pattern is used to experimentally certify the existence of multiple superposition elements in the motional state of a single ion, without risking false positives from imperfect operations.

An on-chip superconducting isolator that does not rely on magnetic materials to break reciprocity is implemented, providing 45 dB of isolation at the qubit readout frequency.

A quantum circuit Monte Carlo algorithm is introduced that can overcome the ubiquitous sign problem, leading to quantum advantage in solving many-body problems on noisy quantum computers.

A single-photon playground: Properly engineering the collective response of a two-dimensional atomic array leads to full control of the electric and magnetic components of the field.