Celebrating 100 years of quantum mechanics: A journey of groundbreaking discoveries and the next frontier of quantum science and technologies.

A new approach to low-density parity-check codes provides competitively high performance with low overhead even on restricted architectures.

Decoherence can be used to generate mixed-state topological orders without analogue in closed systems and with properties useful for quantum information applications.

A new type of topological order for open quantum systems, which has no pure-state counterpart, is proposed and studied using exactly solvable models.

Emergent generalized symmetries lead to the proof that there exist topological orders intrinsic to mixed states, and examples of these states provide insight into their classifications by premodular anyon theories.

A novel tomography algorithm with provably optimal run-time can uncover fundamental properties of a broad class of states and provide efficient circuit compilation.

An architecture based on photonic links is proposed to solve major challenges in scaling up neutral-atom quantum computing platforms.

Celebrating the 100th anniversary of quantum mechanics, this personal journey highlights key fundamental and applied discoveries of the past century, with a special focus on the transformative role of lasers.

The underlying principles, applicability, and scope of the Lie-algebra decoupling theorem are explored in depth to provide a tutorial on methodology for solving the dynamics of quantum systems.

Site-selective stark shifts and global control is used to embed maximum-weighted independent-set problems, including those on nonplanar graphs, on an array of Rydberg atoms.

A coherence time record of 13.1 hours is achieved in a rare-earth-ion-doped crystal cooled to subkelvin temperatures.

Robust reconstruction of arbitrary quantum states of light in bosonic circuit quantum electrodynamics is experimentally demonstrated with the fewest measurements of photon numbers.

A versatile quantum metrology scheme achieves near-Heisenberg-limit precision with a single bosonic mode in the low-excitation regime, bypassing the need for entanglement.

A practical scheme for concatenated graph codes in fusion-based quantum computing increases tolerance to photon loss.

A new approach to low-density parity-check codes provides competitively high performance with low overhead even on restricted architectures.

A two-step process for characterizing readout noise can be used to correct for errors in midcircuit measurements used for active feedback.

A new qubit architecture enables all-to-all connectivity between multiple remote Andreev spin qubits, with coupling strength that is independent of distance and no frequency crowding challenges.

Novel bounds on the equilibration of observables in isolated quantum systems help resolve the apparent contradiction between the second law of thermodynamics and unitary evolution.

A new protocol for systematic characterization of midcircuit measurements is proved to learn all learnable information while remaining practically applicable.

A Schrödinger kitten state is squeezed multiple times in a programmable manner, an important step toward universal continuous-variable quantum computing.

Interference, which gives rise to the sign problem in quantum Monte Carlo, also leads to a significant increase in computational hardness in tensor networks.

Decoherence can be used to generate mixed-state topological orders without analogue in closed systems and with properties useful for quantum information applications.

A new type of topological order for open quantum systems, which has no pure-state counterpart, is proposed and studied using exactly solvable models.

Emergent generalized symmetries lead to the proof that there exist topological orders intrinsic to mixed states, and examples of these states provide insight into their classifications by premodular anyon theories.

Circuit cutting, or using small operations on few qubits to simulate larger operations, is now achievable at minimal cost for many operations thanks to a new method and more precise cost bounds.

Initialization closer to a solution in variational quantum simulation yields guarantees on initial trainability, but no guarantee of a good minimum.

A new approach to simulating quantum chemistry using ultracold atoms in optical lattices offers practical and straightforward implementations.

A novel tomography algorithm with provably optimal run-time can uncover fundamental properties of a broad class of states and provide efficient circuit compilation.

Augmenting tensor networks with quantum states provides improvements over purely classical approaches for quantum many-body simulations.

A neural network is trained to quickly find control sequences to experimentally create high-fidelity Schrödinger cat states with arbitrary phase and amplitude.

Moveable optical tweezers are used to precisely position atoms within an optical cavity to efficiently prepare arrays of cavity-coupled atoms, with applications in networking in atomic systems.

The performance of a dynamically protected gate can saturate at a significantly lower fidelity when the evolution of a nonclassical environment is accounted for, challenging the notion of a constant error per gate.

When dual-unitary circuits are enriched with symmetries, an array of complex phenomena emerge, enhancing our understanding of many-body quantum dynamics.

A superconducting system is used to experimentally explore the weak breakdown of ergodicity in a quantum system, making connections between Stark many-body localization and Hilbert-space fragmentation.

A new form of fluxonium qubit provides new functionalities by tuning Josephson energy over a wide range and operating in lower frequencies.

A connection between out-of-equilibrium dynamics in quantum error correction and quantum phases of matter in equilibrium provides new insights into topological order and error thresholds.

Terms in the effective Hamiltonian for ion entanglement that contribute significantly to gate fidelity but are beyond those usually considered can be suppressed by applying control techniques.

A trade-off between entanglement and correlations arises for quantum states prepared using measurement and feedback conditioned on measurement outcomes.

Links between quantum resources in discrete-variable and continuous-variable quantum computing provide a unified approach for understanding computational advantages.

State-of-the-art two-qubit entangling gates in atomic qubits are achieved and benchmarked with a new sequence tailored to the neutral-atom platform, alongside a detailed error model and predictive analytical framework.

A new approach to dynamical decoupling completely suppresses idling errors and crosstalk across a circuit, improving algorithmic performance on real devices.

A new approach to identify quantum computing applications where hardware errors have a smaller impact than previously assumed enables an efficient noise-mitigation strategy.

A protocol to characterize device performance in quantum error correction promises to improve experiments by exploiting information about the noise.

A complementary approach to quantum error correction is proposed that preserves specific properties of a quantum system via a time-dependent control Hamiltonian without the need for ancillary qubits or measurement feedback.

Measuring and extracting physically relevant properties of quantum states is made exponentially cheaper.

Leveraging the distribution of magic gates leads to new techniques to simulate highly magical quantum circuits, revealing new insights into computational complexity.

Entangled-photon-pair generation is boosted using an array of integrated photonic sources, enabling high-rate quantum networking and qubit encoding schemes.

A constant-depth, measurement-based protocol for entanglement distillation is developed, enabling scalable quantum communication and computing with advanced quantum error-correcting codes.

Optically interconnected atom-cavity nodes, each capable of performing two types of photon-atom gates, enable deterministic and modular generation of photonic graph states—the main resource of photonic quantum computation.

A new quantum advantage demonstration based on verifying analog quantum simulation achieves a reasonable balance between efficient verifiability, rigorous hardness guarantees, and near-term practicality.

An alternative implementation of deterministic photonic quantum gates allows for much simpler composition and engineering and enables quantum information processing in topological photonic systems.

New fundamental bounds on the precision and response of trajectory observables in Markovian open quantum systems deepen our understanding of how quantum effects shape nonequilibrium thermodynamics.

A universal mixed-state quantum phase is identified and shown to be intrinsically connected to long-range conditional mutual information.

Clifford-enhanced matrix product states redefine quantum simulation by bringing together the key resources of entanglement and magic.

A novel framework highlights the role of quantum complexity in quantum thermodynamics and shows how complexity entropy quantifies a trade-off between the complexity- and work-cost of a quantum process.

Unveiling a new framework for anomalies in open quantum systems, this work shows how mixed-state anomalies dictate nontrivial phases and establishes a bulk-boundary correspondence unique to dissipative dynamics.

A framework for classifying and characterizing mixed-state symmetry-protected topological phases is established, revealing new phenomena through the Choi representation and the interplay of strong and weak symmetries.

By smartly simplifying the device—eliminating couplers, flux tuning, and complex pulse shaping—this work achieves a remarkably stable, high-fidelity two-qubit gate on fluxonium qubits, paving the way for more robust quantum operations.

A unitary extension of the renormalization group flow provides a circuit for classifying certain phases of matter, with implications for error correction.

Collective measurements on adaptive quantum circuits drive controllability and entanglement phase transitions, having implications for quantum state preparation and error correction.

Classical shadows and efficient time evolution combine to measure energy differences even with a limited number of queries and a noisy system.

The dipole-dipole interaction between two circular Rydberg atoms is measured, with carefully controlled distances and orientations between the laser-trapped atoms, opening direct applications in quantum simulation and computation.

Knowledge of circuit errors is necessarily imperfect, but the impact of this imperfect knowledge on error mitigation can be measured and bounded using this new protocol.

A better scaling for simulating chemical Hamiltonians is achieved by embedding the system in a higher-dimensional space.

Unconditional quantum advantage with random shallow Clifford circuits follows from the presence of long-range measurement-induced entanglement.

A framework for implementing nonlocal quantum circuits with local operations and efficient classical computation minimizes overhead and removes the need to consider locality of operations in fault-tolerant quantum design.

A diagnostic is developed to detect and quantify topological order, extending topological entanglement entropy to open quantum systems—noisy, real-world environments.

A novel Hamiltonian simulation algorithm using the linear combination of unitaries to compensate for Trotter errors is easy to implement, scalable, highly accurate, and cost efficient.

A versatile new framework based on a three-colored graphical calculus is proposed, offering a unified and systematic approach to analyzing a broad class of QEC protocols and their error-correcting capabilities.

Utilizing a novel kinetic-theory description, efficient algorithms for cooling into the many-body ground state are shown to be practical and robust for near-term quantum processors.