The challenge of linking and operating physically independent modular quantum computers is tackled: Several key capabilities are experimentally demonstrated, including error correction.

Fabricate your own portable quantum hardware: A design methodology on 3D printing for rapid device prototyping and dramatic reductions in size, weight, and cost.

NISQ devices are shown to be exceptionally well-suited for simulating periodically driven quantum systems, offering key capabilities for the realization of novel non-equilibrium phases of matter such as the elusive discrete time crystal.

A new analytic approach to quantum control in complex multi-level systems is presented, laying the groundwork for designing low-error quantum operations in a variety of systems.

A rigorous connection between complexity growth and unitary k-designs is provided, establishing a stronger notion of quantum complexity.

Properties of a parafermion-based quantum processor are simulated in a photonic platform, realizing Clifford operations and demonstrating contextuality in a topological system.

Testing if graviton creates entanglement between massive objects: A concrete sensing protocol that relies on measurements of a single subsystem is laid out.

A method for simulations of quantum field theory in more than one dimension, feasible on the existing quantum hardware, is presented.

New types of attacks on practical implementations of mistrustful quantum cryptographic schemes are identified, showing that countermeasures previously believed to ensure security in fact can leave schemes completely vulnerable.

A novel function for quantum sensing is demonstrated, in which NV magnetometry is extended to the dynamic character of magnetism, enabling ac and dc study of spintronic materials at the nanoscale.

The latest progress and challenges on engineering superconducting qubits to achieve noise-protection at the hardware-level is presented.

A path to bridge the gap between ab initio materials calculations and the model Hamiltonians used to discover and develop scalable quantum systems is presented.

An insightful tutorial on how to deal with stochastic processes in the quantum domain: The tools to understand the effect of the environment on quantum systems’ dynamics are provided.

A consistent and versatile framework to understand and apply the laws of thermodynamics for quantum systems far from equilibrium is presented.

Optimal control theory is introduced for quantum systems, providing the mathematical understanding for constructing open-loop control laws without experimental feedback.

A phase-space exploration of continuous-variable systems is presented, guiding newcomers through the methodology needed for investigating non-Gaussian states.

A reformulation of a variational quantum algorithm enables investigation of strongly correlated electronic systems with one to two orders of magnitude fewer quantum measurements than the state-of-the-art.

The adiabatic theorem is generalized to deal with fields that oscillate at arbitrary timescales, helping to describe previously inaccessible dynamical problems.

The ultimate precision limits are determined for simultaneously estimating the range and velocity of a target and the range and velocity separations of a pair of targets by using lidar systems, with or without entanglement.

Thermo-optical defocusing effects can help to beat quantum hacking: An experiment shows how to increase the security of quantum cryptosystems without compromising the communication signal.

An efficient algorithm for simulating quantum chemistry is introduced and further analyzed for the paradigmatic FeMoCo molecule, providing cost estimates and required resources.

A new analytic approach to quantum control in complex multi-level systems is presented, laying the groundwork for designing low-error quantum operations in a variety of systems.

A time-dependent adaptive variational method is developed to enable practical and highly accurate quantum dynamics simulations on NISQ devices.

Programmable quantum processors for continuous-variable systems are defined, and investigated in view of their memory requirements, linking universal processors to their discrete counterparts, and deriving upper and lower bounds on the programmability of Gaussian transformations of Bosonic modes.

A chip-scale circulator is proposed that operates via the rotation of persistent-current vortices, promising signal routing with moderate bandwidth, low insertion loss, and operation at microwave frequencies relevant for experiments with qubits.

A blueprint of a genuine quantum thermal machine based on ultra-cold atomic gases is presented, and a road map is laid out to explore several open questions.

Prepare and measure: A general and sufficient condition to certify that a given set of preparations can only generate classical statistics, for any number of generalized measurements, is devised.

By gaining intuition about the mechanisms by which quantum optimization algorithms solve problems, approaches are identified that substantially improve the performance of quantum algorithms for this task.

Universal multipartite entanglement is studied for a variety of measurement induced phase transitions, exact results are presented in a special case, and remarkable consistency is found in several different models away from this limit.

A scheme to bring a leaked state back into the computational subspace of superconducting qubits is presented, opening the prospect for near-term scalable demonstrations of quantum error correction.

A framework for resource-efficient characterization and control of non-Markovian open quantum systems is developed based on the notion of frames, overcoming severe constraints of existing approaches.

A rigorous connection between complexity growth and unitary k-designs is provided, establishing a stronger notion of quantum complexity.

A quantum annealing processor is used to investigate frustrated magnetism and show how the tuning of quantum fluctuations effect dynamical and equilibrium properties.

A strategy is devised to approximate the Hamiltonian operator in ways that benefit analog quantum simulators, potentially outperforming variational methods in terms of gate depth and a total number of measurements.

A quantum RAM architecture based on photonic integrated circuits and existing technologies is proposed.

A quantifier of quantum coherence applicable to exciton-polariton condensates is developed and experimentally investigated, helping to identify the resourcefulness of states created in the lab for quantum protocols.

The challenge of linking and operating physically independent modular quantum computers is tackled: Several key capabilities are experimentally demonstrated, including error correction.

A proposal for preparing Rydberg arrays containing hundreds of circular Rydberg atoms and comparatively small two-qubit gate errors is presented, enabling significant improvement to quantum computing and simulation with neutral atoms.

Properties of a parafermion-based quantum processor are simulated in a photonic platform, realizing Clifford operations and demonstrating contextuality in a topological system.

A rigorous strategy is devised for optimally using quantum resources in metric-aware algorithms, such as natural gradient for variational quantum eigensolvers and simulators of quantum dynamics.

A scalable architecture for topological measurement-based quantum computation is proposed, and GKP error correction is shown to be efficiently achievable by teleportation.

Fabricate your own portable quantum hardware: A design methodology on 3D printing for rapid device prototyping and dramatic reductions in size, weight, and cost.

A path for experimentally building realistic models of quantum spin liquids is laid out: The construction is based on superconducting wire arrays and could lead to topological qubits.

An experimentally friendlier version of gate-set tomography that greatly simplifies its accompanying classical processes is introduced, improving the practical characterization of noise in current quantum devices.

A versatile algorithm for searching Bell’s inequalities with scaling advantages is developed, and new families of many-body Bell’s inequalities are discovered.

Testing if graviton creates entanglement between massive objects: A concrete sensing protocol that relies on measurements of a single subsystem is laid out.

A ten-fold boost in the coherence time of spin qubits in a two-dimensional array of quantum dots is achieved: The role of electron displacement is discussed in the context of large-scale quantum circuits

Data structure is used to probe many-body systems by exploring how certain quantum statistical mechanics models capture genuine quantum effects, such as quantum critical behavior and quantum phases.

A general approach to quantum control is presented, designing control waveforms that suppress both environmental noise and control errors at the same time.

A method for simulations of quantum field theory in more than one dimension, feasible on the existing quantum hardware, is presented.

Controlling the order of quantum operations in a circuit with another quantum system uncovers new types of noncausal computations.

Qubots, built upon Rydberg-dressed atoms, can be engineered to protect a logical qubit state against decoherence and thermalization.

The future of holographic stabilizer codes for achieving universal fault-tolerant quantum computation does not appear promising: severe limitations on its usefulness are conceptually presented and theoretically verified.

New types of attacks on practical implementations of mistrustful quantum cryptographic schemes are identified, showing that countermeasures previously believed to ensure security in fact can leave schemes completely vulnerable.

A long-standing open problem in quantum information is solved: Exact unitary t-designs with any strength can be generated using quantum circuits.

The search for dark matter candidates, such as axion-like particles and dark photons, may be aided by experiments using nonlinear crystals and tools long explored in quantum optics.

A sophisticated proposal for engineering topologically ordered systems with superconducting quantum circuits and gauge symmetry is presented.

An integral-free approach is introduced for time-dependent Hamiltonian simulation that leads to algorithmic speedup for many relevant systems.

Standard approaches to design and characterize CV cluster states can miss entanglement: From the identification of the problem to the proposed solution.

The stationary state of an open spin chain of arbitrary length is analytically computed, showing that the spin flow is affected by the presence of sinks and sources and providing an algorithm to compute the concurrence along the chain, and to study the dependencies on bath temperatures and spin chain parameters.

An architecture for scalable fault-tolerant quantum computing based on Kerr-cat qubits and the XZZX code is shown to be viable with parameters that can be realized in current experiments.

NISQ devices are shown to be exceptionally well-suited for simulating periodically driven quantum systems, offering key capabilities for the realization of novel non-equilibrium phases of matter such as the elusive discrete time crystal.

A valuable tool for investigating entanglement structures in random mixed states is developed and applied to a wide range of quantum many-body problems.

Shadow estimation can be made noise-resilient and sample-efficient by using an experimentally friendly calibration procedure.

The role of disorder in quantum simulators that implement many-body scars —a phenomenon that avoids thermalization— is investigated, showing that robust scar signatures can be detected in near-term devices.

The transition from classically simulable to non-simulable due to noise is investigated, showing how to take advantage of dissipation in order to implement entangling gates with cold atoms.

Quantum to classical transition is explored by analyzing the connection between noncontextuality and quantum Darwinism.

A novel function for quantum sensing is demonstrated, in which NV magnetometry is extended to the dynamic character of magnetism, enabling ac and dc study of spintronic materials at the nanoscale.

A method to test non-equilibrium energetics on a quantum computer is developed and used, validating several theoretical predictions, such as the robustness of fluctuation theorems.