A novel Hamiltonian learning algorithm achieves Heisenberg-limited precision without prior structural assumptions, treating the quantum system as a black box and revealing a fundamental trade-off between evolution time and controllability.

A novel Hamiltonian-independent method for counterdiabatic driving is developed; showing its efficacy depends on high-frequency response and enabling applications in quantum annealing and experiments.

ScarFinder: a novel variational framework that uncovers hidden patterns of coherent dynamics, aka quantum scars, in generic many-body systems, without requiring prior knowledge about their physics.

A cross-platform verification protocol is experimentally demonstrated on a modular superconducting processor, marking a key step toward scalable modular quantum computing.

A guide to mastering quantum control, from core principles to modern tools.

Entangled quantum states enhance and preserve energy transfer in light-harvesting–like systems with long-range interactions, and trapped-ion experiments can simulate these processes to thereby guide the design of more efficient light-harvesting materials.

For surface codes with holes due to fabrication imperfections, new strategies are shown to improve logical performance to a level close to that of imperfection-free codes.

A data-driven heuristic method using tensor-network ansatze is shown to perform high-fidelity tomography of topological states.

Hidden modes in fluxonium’s Josephson-junction array can hijack the readout process, causing unexpected state transitions and dephasing that challenge high-fidelity measurement.

Generic single-qubit coherent errors in the surface code are analyzed, and it is shown via a statistical mechanics mapping and numerical simulations that such errors can be corrected up to a surprisingly high threshold.

A formalism is presented showing that continuous-variable quantum channels learned from low-energy coherent input states can be reliably generalized to all inputs, guaranteeing out-of-distribution predictions with sufficient sampling.

The phase diagram of bosonic polar molecules is numerically investigated, uncovering experimentally relevant indicators of phase transitions that range from finite-temperature BEC formation to the transition of an expanding gas into a self-bound state.

A protocol for sharing asymmetric keys that uses only weak assumptions is analyzed and experimentally demonstrated to achieve sufficient performance for practical applications in secure multiparty computation.

GaAs quantum dots grown via local droplet etching epitaxy enable predictable, symmetry-driven design of spin and optical properties, providing tunable spin-photon interfaces for robust quantum networking applications.

Symmetric channel verification is a novel hardware-efficient protocol leveraging channel symmetries to detect and correct symmetry-breaking noise, reducing errors in quantum simulations and phase estimation while being optimal under Clifford-only constraints.

A novel quantum strong-to-weak spontaneous symmetry-breaking transition is uncovered in open one-dimensional critical systems with symmetry-preserving decoherence, driven by Hamiltonian tuning and insensitive to system-environment coupling.

A new approach for Lindblad simulation is shown to enhance the stability of simulation with large time steps and reduce the resources needed to achieve desired accuracy.

A high-fidelity all-electronic trapped-ion architecture with low noise and crosstalk provides a blueprint for large-scale quantum computers.

A new framework reveals the first computational phases in topologically ordered systems, extending measurement-based quantum computation beyond short-range entanglement and linking computational and topological properties.

A novel Hamiltonian learning algorithm achieves Heisenberg-limited precision without prior structural assumptions, treating the quantum system as a black box and revealing a fundamental trade-off between evolution time and controllability.

By generalizing dual unitarity beyond settings with clear space-time dualities, a new family of exactly solvable quantum circuits on tree lattices is introduced, providing a tool for exploration of non-Euclidean quantum dynamics.

Demonstrations on flux-tunable transmons show that desired logical operations can be achieved by adjusting an idle time between two carefully calibrated control pulses.

Unbiased maximum-likelihood postprocessing enhances Fourier-based phase estimation under noise, enabling efficient ground-state simulations in the early fault-tolerance regime.

Simulating a two-dimensional Hubbard model on an architecture designed for reduced error-correction overhead is shown to provide fast performance owing to new compilation techniques.

A novel Hamiltonian-independent method for counterdiabatic driving is developed; showing its efficacy depends on high-frequency response and enabling applications in quantum annealing and experiments.

A proposed “harmonium” superconducting qubit design combines harmonics of the Josephson energy to produce intrinsic protection from bit-flip and phase-flip errors while maintaining fast operations.

Strengthened bounds on the spread of quantum correlations in many-body physical systems shed light on the difficulty of simulating quantum dynamics.

Erasure qubits that herald errors enable far more resource-efficient magic state generation, reducing logical error rates to the residual Pauli noise and offering substantial overhead savings even with only a few erasure qubits.

A new layout of tensor networks and its associated numerical tool can more effectively channel two-dimensional entanglement and yield more accurate representations of quantum states with no added computational cost.

Graph representations provide new insights into constructing, analyzing, and decoding stabilizer codes, yielding efficiently decodable codes and a unification of key coding algorithms.

A novel quantum mixer design enables strong, clean parametric control while remaining effectively linear when idle, offering a powerful new tool for high-fidelity superconducting circuit operations.

Coherent information emerges as a practical tool for determining optimal quantum error-correction thresholds under both computational and erasure noise.

Experimental demonstrations of cooling, trapping, and pure state preparation with atomic indium present the potential of group-III atoms in ultracold physics research.

Coherent control of hyperfine and optical qubit levels marks neutral thulium as a candidate for quantum information processing.

Bivariate bicycle codes are systematically adapted to planar, open-boundary geometries via boundary-anyon condensation, preserving geometrically local stabilizers and yielding high-efficiency qLDPC codes for realistic 2D quantum platforms.

A security evaluation method for QKD systems ensures full optical spectrum protection against attacks like Trojan horse, photorefraction, and detector backflash, offering a path toward system certification.

ScarFinder: a novel variational framework that uncovers hidden patterns of coherent dynamics, aka quantum scars, in generic many-body systems, without requiring prior knowledge about their physics.

A time-dependent variational method that finds periodic paths in the dynamics of quantum spin systems, showing how they reveal links between quantum many-body evolution and classical chaos from prethermal to fully chaotic regimes.

Under general noise, fault-tolerant quantum computation is shown to be possible with only constant qubit overhead, using quantum low-density parity-check codes with constant rate and linear minimum distance.

A transmon-qubit quantum router performs both signal routing and quantum addressing with high fidelity, advancing key components for quantum networks and random access memories.

An experimental demonstration establishes a scalable pathway for generating complex non-Gaussian states.

Universal and fault-tolerant quantum computation can be practically achieved—and efficiently scaled up—without intermediate measurements or real-time feedback operations.

Quantum many-body states whose entanglement satisfies an area law for every possible ordering of their sites are product states.

Encapsulation and electric biasing enable stable and tunable single-photon emission in a 2D material for indistinguishable photon generation for optical quantum information processing.

Relaxation and photon scattering events are converted into erasure errors in an optical lattice atomic clock, increasing the measured coherence time for improved atomic clocks and quantum sensors.

Switching between a stabilizer code and a permutation-invariant code provides a measurement-free approach to universal quantum computation that can reduce resource costs.

Theoretically optimal communication rates across a broad class of bosonic noise models are achievable by single-mode concatenated Gottesman-Kitaev-Preskill codes, presenting a possible pathway for practical capacity-achieving quantum communication protocols.

A tensor network method reveals the fundamental precision limits of probing quantum matter with partially lost light, enabling realistic analyses of quantum sensing and spectroscopy.

New insights into graph states uncover generic links between randomness, entanglement, and computational hardness.

Symmetries in the quantum approximate optimization algorithm can yield insights into trainability limitations and classical tractability, providing practical guidance for choosing and designing algorithm variants.

A robust control framework based on optimized pulse sequences enables faithful realization of arbitrary local Hamiltonians, scaling efficiently to hundreds of qubits.

A new study reveals how spinon-holon bound states emerge in a ℤ₂ quantum spin liquid, forming fermionic quasiparticles that may microscopically explain Fermi arcs in the pseudogap phase.

A hardware-efficient approach to quantum phase estimation uses only local control, enabling spectral studies in large many-body systems using current quantum devices.

Codesign of quantum error-correction protocols with neutral-atom hardware enables progress toward realizing measurement-free, fault-tolerant, universal logical quantum computation.

This work establishes error thresholds and the decay of logical noise coherence in the surface code under generic $X$ errors, and it identifies key caveats for using common information-theoretic measures to assess error-correction performance in small systems.

A theoretical framework is introduced to quantify and mitigate atomic-motion-induced errors in photon-mediated entanglement between distant qubits, enabling high-fidelity and scalable quantum networks with trapped atoms.

Measurement of joint phonon parity with spin-dependent beam-splitter interaction enables direct Wigner-function tomography and real-time detection and mitigation of motional heating in a trapped ion.

Integrating subspace verification and direct fidelity estimation provides a general tool that can efficiently and robustly verify the fidelity of encoded states.

Balancing the information gained from erasure checks in erasure qubits with the cost of running these checks indicates where erasure qubits improve performance over standard qubits.

Erasure qubits, which can enhance quantum error-correction efficiency, are shown to retain higher efficiency even when erasure checks are imperfect, producing higher effective distance and error thresholds than qubits under typical noise models.

A quantum state-certification protocol works without trusting the devices and ensures that the certified states can be securely reused across other quantum protocols, paving the way for scalable and modular quantum networks.

A hybrid quantum-classical algorithm uses linear optics and Boson dynamics to generate multireference states for solving molecular electronic structures.

Extending symmetry topological field theory to open quantum systems enables a systematic classification of mixed-state quantum phases and their transitions.

Leveraging qumodes for continuous spectral encoding, this work enables hardware-efficient oracles and linear-scaling eigenstate filtering on experimentally realizable architectures.

A new family of thermally stable self-correcting quantum memories provides a potential platform for universal quantum computation.

Topological and geometric insights into logical gate construction lead to a parallelizable universal logical gate set for quantum low-density parity-check codes.

Hybrid spin-photon emitters unlock orders-of-magnitude gains in resource efficiency for generating the states required in fault-tolerant photonic quantum computing.

Single-shot measurement followed by feedback protocols provide a new way to reshape long-range correlations in quantum-critical many-body systems.

A new microwave control experiment isolates nitrogen-vacancy signals without magnetic bias, enabling stable and accurate vector field measurements.

A cross-platform verification protocol is experimentally demonstrated on a modular superconducting processor, marking a key step toward scalable modular quantum computing.

A subexponential time algorithm for the classical simulation of high-temperature long-range interacting quantum systems is introduced through a study of their partition functions.

An optically trapped femtogram particle is introduced as a sensor for dark matter searches, setting new constraints for several different dark matter models.

By extending the algorithmic cooling problem to qubit machines with arbitrary energy structure, this work reveals fundamental limits on quantum cooling and shows how a reservoir’s internal energy landscape governs cooling performance and protocol complexity.

A six-qubit device demonstrates two logical qubits, utilizing an approach for all-to-all connectivity based on a star architecture with a central resonator and tunable couplers to each qubit.

Electric-field control of a metastable excited molecular state enables precision spectroscopy and the first narrowline laser cooling of a molecule.

A framework is introduced for learning an unknown quantum channel’s closest representative from some class of channels, and such learning algorithms are studied for various relevant classes of channels.

For a two-dimensional array of entangled qubits, it is shown that in the presence of both qubit loss and coherent error, the Clifford percolation transition flows to the Nishimori universality class, exhibiting distinctive multifractal critical phenomena.

A randomized quantum algorithm replaces costly Hamiltonian simulation with an efficient walk operator, offering optimal performance guarantees and paving a practical path to quantum advantage in solving linear systems.

Scalable and accurate reconstruction of physically motivated noise models is made possible using classical postprocessing for gate inversion and only single-qubit state preparation and measurement.

Strong evidence links nonlocal magic to the hardness of classical simulation and the nonflatness of the entanglement spectrum, shedding light on gravitational emergence.