Two problems of interest in chemistry and materials science are tested on a quantum processor used for quantum advantage experiments.

A detailed analysis of the coherence decay of a nanoscale sensor shows that ubiquitous spins on the diamond surface are mobile and reveals the potential of local sensors to investigate the dynamics of complex systems.

A proposed quantum simulation architecture captures the effects of highly structured non-Markovian quantum environments, such as those found in chemical dynamics.

An experimental demonstration of scalable system characterization via classical-shadow-based single-setting quantum state tomography.

Using a new approach to access band structures, a systematic and high-precision scheme to realize, manipulate, and detect unconventional Floquet topological phases on quantum simulators is developed.

Properties of noisy random circuits are investigated, uncovering relevant consequences for the tightness of proof techniques in the field of quantum computational advantage.

Rapid and high-fidelity single-shot readout of spins is demonstrated by combining scalable fabrication technology, Pauli spin blockade, and rf reflectometry on a single-lead quantum dot.

An enhanced quantum manipulation technique is demonstrated, allowing fast and precise control of multicomponent atomic matterwave.

A quantum algorithm, based on the Lieb-Robinson bound, is developed to accurately and efficiently compile time-evolution operators, providing extensive proofs that certify the performance of the method.

A quantum algorithm for solving linear systems that is asymptotically optimal is developed, matching a known lower bound on the complexity and easing its practical implementation.

An investigation of quasiparticle excitation dynamics in superconducting qubits, helping to inform the strategies one should use to mitigate single-charge-tunneling decoherence.

An algorithm for estimating ground-state energy that is suitable for early fault-tolerant quantum devices can achieve near-optimal complexity, according to a new proposal.

A security framework for anonymous conference key agreement with different levels of anonymity is introduced, suggesting that multipartite entanglement is a better option for cryptographic tasks involving several users.

A clever defense strategy against light-injection attacks helps boost the security of practical quantum key distribution.

A proposed quantum simulation architecture captures the effects of highly structured non-Markovian quantum environments, such as those found in chemical dynamics.

Novel hadronic bound states in a long-range spin model are investigated, and two distinct controllable protocols indicate how one can clearly observe dynamical hadron formation.

An experimental demonstration of scalable system characterization via classical-shadow-based single-setting quantum state tomography.

Machine-learning methods to easy gate optimization are presented, allowing one to find optimal control pulses that depend adaptively on a vast landscape of parameters.

Using a new approach to access band structures, a systematic and high-precision scheme to realize, manipulate, and detect unconventional Floquet topological phases on quantum simulators is developed.

A quantum algorithm based on the tensor network representation of quantum channels is developed to characterize and mitigate correlated noise in deep quantum circuits.

Describing the dynamics of highly excited states of coupled transmons in a unified, compact, and accurate manner is now possible, allowing investigation of various collective phenomena, such as edge localization and longer-range interactions.

A scheme that uses linear-depth quantum circuits allows one to efficiently prepare topologically ordered states and directly probe properties such as braiding statistics and fusion channels of anyons.

How to quantum simulate high-energy physics: a detailed proposal on how to experimentally engineer a tunable topological term to probe confinement on a cold-atom-based platform.

A recipe on how to prepare experiments and provide evidence of high-energy physics effects using cold-atom quantum simulators.

Two problems of interest in chemistry and materials science are tested on a quantum processor used for quantum advantage experiments.

A qudit-based entanglement distribution protocol allows bypass of the strict memory requirements inflicted by the deleterious loss between transmission nodes and, as a result, boosts the performance of near-term quantum networks.

Isoelectronic defects, specifically Sn with a spin-½ nucleus, are proposed as the quantum bits in a quantum processor, with internuclear operations mediated by smoothly shuttling electrons from one qubit to another.

A detailed investigation shows that a novel hybrid platform can be used to realize all-electrical quantum gates in multiferroic topological magnets.

A novel protocol for implementing high-fidelity multiqubit gates based on Rabi-driven all-to-all connected superconducting qubit networks is experimentally demonstrated.

The resource theory of thermodynamics is revisited, introducing new results and insights on the interplay between quantum coherence and irreversibility and how it affects the convertibility of quantum systems in both single-shot and asymptotic regimes.

A proposal to use trapped-ion crystals in a Penning trap to simulate and probe topological superconductivity; the work paves the way to prepare and manipulate skyrmionic spin textures.

Measurement incompatibility and Bell nonlocality are connected using tensor norms, generalizing the CHSH nonlocal game to all XOR games.

A random circuit model is devised to analyze the impact of noise in NISQ devices on solving optimization problems with variational algorithms.

The circuit complexity in preparing the ground state of a Hamiltonian is studied as a function of the spectral gap—the energy difference between the ground and the first excited state—and an optimistic outlook for quantum variational methods is presented.

A detailed analysis of the coherence decay of a nanoscale sensor shows that ubiquitous spins on the diamond surface are mobile and reveals the potential of local sensors to investigate the dynamics of complex systems.

Properties of noisy random circuits are investigated, uncovering relevant consequences for the tightness of proof techniques in the field of quantum computational advantage.

Recently developed adaptive Bayesian methods allow for more precise and reliable quantum thermometry from less measurements, as demonstrated in release-recapture experiments with microkelvin-cooled potassium atoms trapped in an optical tweezer.

Novel insights are provided on the practical construction of dual-unitary circuits, a rare type of exactly soluble many-body quantum dynamics exhibiting nonintegrability and quantum chaos.

A spectroscopic method is developed and applied to characterize qubit-defect interactions, providing essential feedback for fabrication process optimization and the development of realistic noise models.

The Loschmidt echo, a method for probing reversibility in quantum systems, is used in conjunction with simulated annealing to provide a scalable and flexible approach to optimizing qubit assignment on near-term hardware.

A negative-temperature quantum heat engine is experimentally implemented with a single Cs atom in an Rb bath, demonstrating how negative temperatures can both enhance the output power and reduce fluctuations in comparison to positive temperatures.

Rapid and high-fidelity single-shot readout of spins is demonstrated by combining scalable fabrication technology, Pauli spin blockade, and rf reflectometry on a single-lead quantum dot.

A new coupling scheme between heavy fluxonium qubits—one of the least-noise-sensitive superconducting qubits—is introduced, predicting gate fidelities beyond state-of-the-art ones.

Adaptive circuits combining measurement and feedback are used to produce long-range entangled states using only low-depth circuits, overcoming limitations imposed by the Lieb-Robinson bounds.

An extensive analysis about how gap asymmetry affects qubit properties could lead to better engineering strategies.

The fidelity of the QAOA algorithm is found to obey a scaling law associated with the bond dimension of matrix product states, benchmarking the performance of quantum hardware in realistic setups.