Sub-shot-noise phase sensing is realized using a method that infers optical phase shifts through standard intensity measurements, and a human experience of quantum advantage is demonstrated.

A microwave engineering of spin Hamiltonians with tunable anisotropy is used to study the dynamics of 1d and 2d systems in a Rydberg quantum simulator.

A method to improve the local control of Rydberg atom arrays is experimentally demonstrated, leading to significantly reduced photon scattering errors from light shifts.

A recent technological advancement powering state-of-the-art machine learning applications is repurposed to accelerate and scale classical simulations of quantum many-body dynamics.

A method to create a continuum of dynamical sweet spots is experimentally demonstrated, greatly expanding the range of superconducting qubit frequencies achievable while protecting against noise.

Solving energetic problems is one the biggest challenges of our times: How can we harness quantum to smartly deal with them?

Systematic design of broadband parametric amplifiers, circulators, and frequency converters, is enabled by harnessing network-synthesis concepts and methods from microwave engineering.

A theoretical methodology for studying and mitigating crosstalk is established, and it was shown that its scale is overshadowed by errors in individual gates.

A hardware-aware computational approach that delivers automated and optimized quantum error correcting codes is developed: A new code is discovered, and its implementation laid out.

A microwave engineering of spin Hamiltonians with tunable anisotropy is used to study the dynamics of 1d and 2d systems in a Rydberg quantum simulator.

The ground state of an infinite translation-invariant system is shown to be achievable on a finite-size quantum simulator by means of engineered coherent evolution.

Thermodynamical effects on a superconducting qubit coupled to a waveguide are observed and a proposal is put forward on how to use the system as a noise spectrometer.

An innovative amplifier paradigm promises to achieve broadband amplification with near-ideal quantum efficiency, directionality, and insensitivity to out-of-band impedance mismatch at the same time.

By analyzing a pacifist version of the game Battleship, a perfect quantum strategy is found and the related quantum advantage is linked to sequential contextuality.

A framework to engineer and control entanglement of a collective spin in the cavity-QED system: Measurement-induced and quantum-feedback-induced processes can be analyzed in a unified way.

Excess noise correlation in quantum optomechanical measurements due to in-loop photon absorption in micro-cavities is experimentally measured, and its prospect for improved optical Kerr squeezing is analyzed.

Reinforcement learning helps improve the accuracy of frequency estimation by optimizing continuous monitoring and feedback strategies.

Practical concerns about deploying and growing quantum networks are addressed using a novel protocol-based approach.

Using selective post-fabrication etching, different ratios of TLS and other resonator losses are associated with the silicon and niobium surface oxides, while the resonator coherent lifetime is increased by a factor of five.

The temporal distinguishability in an unbalanced interferometer leads to the erasure of interference in the direct photodetection which can be recovered via amplitude measurement by homodyne detection.

A systematic investigation of the symmetry-constrained quantum error-correcting codes through a natural and near-optimal new model is thoroughly presented, including an extensive discussion of the expected impact of the results.

An asynchronous version of measurement-device-independent quantum key distribution protocol promises to boost intercity quantum communication rates by tens of thousands through multiplexing.

The limits of classical computing and the possibility of quantum advantage are explored by simulating the quantum dynamics of particle production in false-vacuum bubble wall collisions.

Physical realizations of quantum annealers behave as samplers from Gibbs distributions with parameters that fluctuate due to noise, leading to spurious interactions between qubits in the output distributions.

Trade-off relations linking quantum error correction–viewed as a heat engine–and quantum measurements used for error identification are established, helping to understand how thermodynamics can inform, or limit, our ability to reach fault-tolerance.

By mapping general systems onto graphs, speed limits qualitatively tighter than conventional ones are derived for macroscopic transitions.

Quantum approximate optimization algorithms can efficiently initialize the ground states of two-dimensional lattice gauge theory in different phases, showing signatures of topological order in systems sizes comparable to modern quantum computing platforms.

A framework to characterize and control the influence of out-of-equilibrium environments on a quantum device is presented: A methodology inspired by field theory with relevance to quantum technologies.

The computational complexity of electronic ground-state energy calculations remains hard even by fixing the number of electrons or restricting the problem to a fixed single-particle basis.

VQPE: A combination of variational methods and quantum phase estimation is put together to develop an approach for computing ground and excited states that is fast and efficient.

Combining experimental and algorithmic advances in quantum simulation improves the investigation of gauge field theories: pair creation is simulated for longer times using less computational resources.

A density functional theory investigation of structural, electronic, spin and optical properties of defects in nanostructured silicon carbide is presented, aiming at the optimized generation of quantum emitters.

A method to improve the local control of Rydberg atom arrays is experimentally demonstrated, leading to significantly reduced photon scattering errors from light shifts.

Mastering alkaline-earth atoms for quantum simulations: A new approach to control a core electron without disturbing the Rydberg one.

Demonstrating quantum computational advantage with strong hardness guarantees is shown to be possible using fermionic linear optics with magic input states, and an experimentally feasible setup is proposed.

The quantum (non-thermal) energy fluctuations and the extractable energy of a spin system, driven by an autonomous dissipative feedback mechanism, are experimentally characterized using NV centers in diamond.

The structure of subsystem codes is harnessed to construct non-integrable models exhibiting unconventional conserved quantities that can be used to build a quantum memory at infinite temperature.

A recent technological advancement powering state-of-the-art machine learning applications is repurposed to accelerate and scale classical simulations of quantum many-body dynamics.

A graphically intuitive framework is introduced to construct complex quantum error correction codes, enabling a wealth of designing features and capabilities.

As with many good things, of the quantum computational resource of magic one can have either too little or too much, and to be useful it has to be consumed in moderation.

The impact of measurements protocols, such as homodyne and heterodyne detection, on the performance of error correcting bosonic codes is thoroughly analyzed.

A new representation of noisy quantum logic gates, based on elementary error generators and their rates, enables intuitive and scalable modeling of gate errors.

A crucial step for building a Gaussian boson sampling machine is demonstrated: a squeezed state is displaced in phase-space and the sampling complexity is fully investigated.

A method to create a continuum of dynamical sweet spots is experimentally demonstrated, greatly expanding the range of superconducting qubit frequencies achievable while protecting against noise.

Temporal correlations can be used to detect and quantify non-breaking channels without the need for bipartite entangled states, and to characterize resources in quantum information.

An alternative method to confine the state of an oscillator to a cat qubit manifold is developed, leading to fast and bias-preserving gates with drastically improved performance.

Analysis shows that controlling Majorana transmon qubit via a gate-based parametric modulation can lead to fidelities close to 99.99%, qubit coherence in the millisecond timescale, and remarkable noise resilience.

A star-shaped, robust and scalable optical fiber network for simultaneous time-bin QKD is experimentally demonstrated with four participants including a field test and more than 100 km of fiber between users as well as full clock recovery.

A computationally efficient classical algorithm is developed to minimize the resources needed for implementing a fault-tolerant surface code architecture.

The spin relaxation time T1 in graphene quantum dots is shown to be on the order of tens of milliseconds, demonstrating the great potential of spin qubits in this novel material.

A framework for the characterization of the influence of memory effects in the sequence of gate operation allows for the circumventing of those effects.

Using pseudogenerators to dynamically induce an effective model with an enriched local symmetry, disorder-free localization is enhanced in an experimentally feasible setup.

A proposal to implement quantum kinetically constrained models on superconducting platforms is described: strong disorder-free localization is harnessed, protecting quantum information against decoherence and environmental noise.

A toolbox for variational quantum adiabatic algorithms is proposed that allows to combine the strengths of the adiabatic and the variational approaches for fast and high-fidelity ground state preparation.

A new theory is introduced that describes the conditioned state of a system with continuous measurement undergoing non-Markovian open quantum systems dynamics, opening new perspectives both on a fundamental and practical level.

Single photons from a SPDC source are successfully stored in and retrieved from an EIT-based memory in a warm vapor cell: A useful resource for quantum networking experiments at high bandwidth and room-temperature.

A generic protocol allowing a simultaneous calibration necessary to perform accurate two-qubit entangling gates is devised and experimentally verified in the trapped-ions architecture.

A new qubit encoding method for second-quantized fermion interactions in systems of relevance for quantum chemistry is described, which can achieve an exponential improvement over prior second-quantized strategies in the limit of large basis sets.

A protocol for the interferometric sensing of an interacting scalar quantum field theory is proposed in an array of trapped ions, which can lead to the observation of renormalization in a high-energy physics quantum simulation, and open new ways to probe real-time effects towards quantum advantage.

Stream privacy amplification is developed to output the final key in a bit stream and prevent errors from spreading.

Efficient and robust long-range energy transport: The propagation of excitons along a 1D chain of repeating unit cells is investigated, showing how to achieve dark state protection in ways amenable to experimental implementation.

A differential-geometric formulation of quantum mechanics and the continuity of quantum phase space are used to diagnose how the state of an open quantum system results from its correlations with a structured environment.

The continuous-space Schrödinger equation is mapped to the transverse Ising model while achieving an exponential advantage over classical computers: A step closer to efficient simulation of multi-particle systems.

A tour de force investigation of randomized benchmarking is presented, comprehensively covering all known protocols, improving previous limitations, and introducing novel strategies.

Sub-shot-noise phase sensing is realized using a method that infers optical phase shifts through standard intensity measurements, and a human experience of quantum advantage is demonstrated.

Photons from two far detuned solid-state emitters are converted to the telecom L-band and made indistinguishable in fully independently operated quantum nodes, progressing towards a metropolitan scale quantum network.

The molecular orbitals for H_2, LiH, and water are calculated using a quantum algorithm based on the Daubechies wavelet theory: Accurate results are achieved, while keeping the number of qubits minimal.

A suite of classical algorithms for simulating universal quantum circuits is presented, allowing one to upper bound the simulation runtime in terms of the amount of quantumness present in the circuit.

Methods for measurement on hybrid systems with disparate spectra realizing trajectories without quantum uncertainties are described, creating new possibilities for quantum networking and sensing applications.

Using clever engineering, a semiconductor quantum dot is made into a deterministic source of path-entanglement photons, which is a valuable resource for photonic quantum computing

Generating the ground state of a free massive scalar bosonic quantum field theory: two quantum algorithms with nearly optimal runtimes are devised, delivering super-quadratic speedup over the state-of-the-art.

Variational quantum algorithms are augmented by an additional subroutine that efficiently detects signatures of barren plateaus – unfavorable parameter regions that prevent optimization due to vanishing gradients.

Using the framework of quantum resource theories, inspired by the concepts of betting and risk aversion, a broad and continuous family of four-way correspondences between important information-theoretic quantities and operational tasks is established.