Five years in—PRX Quantum celebrates breakthroughs and looks ahead to shaping the future of quantum science.

A new proposal shows how distributed entanglement between neutral-atom quantum processors can enable measurements of quantum dynamics at length scales where the curvature of spacetime is relevant.

A framework for the certification of quantum information transmission that works under minimal assumptions about the communication channel and takes into account practical information loss is proposed and experimentally verified.

A systematic approach enables the engineering of topologically ordered quantum phases using only simple, experimentally accessible two-body interactions and quantum fluctuations in programmable atomic systems.

Despite its origins as a thought experiment, “Maxwell’s demon” has left a lasting legacy in uncovering fundamental links between thermodynamics, information theory, and computation.

A comprehensive and detailed tutorial on quantum benchmarking and characterization, equipping both newcomers and experts with essential tools to evaluate and enhance quantum computing performance.

A new analysis shows that Gibbs states of weakly interacting fermionic systems can be efficiently prepared on quantum computers using a Lindbladian with a size-independent spectral gap and a linear mixing time.

Two distinct measurement processes—one conserving system particle number, the other conserving total particle number—yield nearly identical entanglement dynamics, highlighting the subtle role of conservation laws in measurement-induced phenomena.

Immersing a superconducting qubit in superfluid helium-4 enables efficient dissipation of optically induced heat, supporting fast thermal recovery and high-power handling for microwave-to-optical quantum transduction.

Quantitative simulations of the continuum limit of generic scalar-field theories can be achieved using large-spin quantum lattice models implementable in analog quantum simulators.

Using superconducting transmon qubits to measure error syndromes of cat qubits provides a fast, reliable, and scalable system that reduces overhead for quantum error correction compared to systems without biased noise.

A new qubit representation of spin systems that natively respects global spin symmetry yields efficient Hamiltonians and quantum circuits for quantum simulation.

Real-time decision making based on strategic measurements for syndrome extraction can reduce computational overheads and improve logical error rates by interacting less with the system compared with conventional methods.

Microwave-driven dipolar interactions enable fast, resilient two-qubit gates for Rydberg atoms and avoid the need for precise optical phase control.

Unlocking the potential of many-body quantum systems for ultrasensitive quantum sensing, this work uncovers precision limits on dynamical and steady-state metrology and introduces practical strategies to attain them.

A new proposal shows how distributed entanglement between neutral-atom quantum processors can enable measurements of quantum dynamics at length scales where the curvature of spacetime is relevant.

Unlocking the invisible: Optimal non-Gaussian quantum sensing protocols for detecting ultraweak stochastic signals could unveil elusive phenomena like quantum gravity and axions beyond the reach of conventional methods.

A framework for the certification of quantum information transmission that works under minimal assumptions about the communication channel and takes into account practical information loss is proposed and experimentally verified.

A shared resonator with parametric driving enables readout, two-qubit gates, leakage reduction, and qubit reset with a single device.

This work demonstrates that Gottesman-Kitaev-Preskill codes are the first structured bosonic codes proven to achieve optimal quantum communication rates under realistic noise models.

Experimental demonstration of control in superconducting fluxonium qubits exhibits full Purcell protection while keeping high speed and fidelity and enables wiring-efficient processors.

A new quantum algorithm prepares all eigenstates of an interacting quantum spin chain and can also capture relevant complex configurations including domain walls.

Optimization of magic state distillation for color codes yields two schemes that reduce spacetime resources while maintaining high fault tolerance.

The 𝖸 splitter, a superconducting circuit element capable of splitting and recombining Cooper pairs through magnetic flux tuning, represents a novel resource for creating superconducting metamaterials.

Real-time, scalable search of dynamical decoupling sequences tailored to the system yields stable performance over long time periods even for circuits of large width and depth.

By transforming a starting circuit into a Clifford circuit with a renormalized initial state, it is possible to evaluate nonstabilizerness dynamics while avoiding major computational bottlenecks.

New error-correction strategies are developed to recover Heisenberg-limited precision in quantum metrology under non-Markovian noise, extending quantum sensing capabilities to more realistic environments.

A new scheme is proposed for realizing symmetry-protected topological phases in gravity-tilted optical lattice clocks, enabling robust quantum sensing via topological protection against unwanted experimental imperfections.

New quantum and classical algorithms offer more efficient ways to compute and sample symmetric group characters, revealing potential advantages for quantum sampling problems.

A graph neural network trained on correlation functions from small Rydberg-atom arrays enables scalable Hamiltonian learning for large arrays, offering accurate parameter recovery and paving the way for feedback control in analog quantum simulators.

Evidence of improved run times in quantum simulation using extrapolation techniques yields insights into the utility of Trotter error mitigation.

A single-step three-qubit gate exploiting chiral and anisotropic interactions in spin-based hardware achieves high fidelity and speed, offering a promising route for reducing circuit depth in near-term quantum processors.

Reconfigurable Si spin qubits are defined with an extendable manufacturing process that maintains gate fidelity.

A new Monte Carlo method computes stabilizer Rényi entropy and reveals nontrivial magic behavior at quantum criticality.

With a new proof of robustness against arbitrary local perturbations, quantum error-correcting codes can provide new perspectives on foundations in statistical mechanics.

Proof of the stability of topological order in low-density parity-check codes unlocks the study of gapped quantum phases of matter beyond Euclidean space.

Entanglement-enhanced atomic magnetometry is shown to reach optimal sensitivity in real time using quantum control and signal processing, enabling practical high-precision sensing with large atomic ensembles.

By engineering the photon statistics from quantum-dot sources, this study achieves secure quantum communication that surpasses the performance of ideal laser-based systems—even without the need of perfect single-photon sources.

Intentionally applied coherent errors can induce ensembles of unitary gates on encoded logical qubits and drive a phase transition in randomness at the code’s error threshold.

The speed of computation in a neutral-atom quantum computer is increased through the use of steerable excitation beams and fast, nondestructive state readout.

A new real-time calibration method that mitigates the effects of decoherence and drift from low-frequency noise is experimentally demonstrated on superconducting qubits.

A new framework for quantum metrology based on success probabilities, rather than the Cramér-Rao bound, highlights the inadequacy of quantum Fisher information as a sole figure of merit in the finite-sample regime.

Algorithmic improvements enable a 2 orders of magnitude speedup in fault-tolerant quantum simulations of complex molecules.

Introducing the symmetrically threaded SQUID Kerr-cat qubit: a superconducting qubit design with longer lifetimes, paving the way for scalable, fault-tolerant quantum computing.

Gamma-ray irradiation with known flux and energy shows that structures to limit phonon propagation reduce the effect of quasiparticle poisoning, with implications for future device and error-correction-code optimization.

A systematic approach enables the engineering of topologically ordered quantum phases using only simple, experimentally accessible two-body interactions and quantum fluctuations in programmable atomic systems.

Theoretical advancement in property testing and tomography yields improved performance guarantees for experimentally relevant tasks, identifies algorithm inefficiencies, and provides comprehensive learning for fermionic states.

A proposed “geometric orthogonal metal” phase in cuprates links the pseudogap to fluctuating domain-wall-induced hidden order, yielding a small Fermi surface and a transition to a Fermi liquid at a hidden quantum critical point.

A systematic method for identifying fault-tolerant logical Clifford gates in quantum error-correction codes by mapping them to classical binary codes and computing their code automorphisms enables the discovery of new gates for well-known code families.

A new truncated Wigner approximation framework enables efficient, user-friendly simulations of driven-dissipative quantum many-body dynamics, outperforming or matching cumulant methods at lower computational cost.

A computational-complexity-theoretic analysis reveals that computing key properties of quantum pseudorandomness is hard, even for quantum computers.

A novel and efficient quantum learning algorithm enables a quantum computer to replicate the action of an unknown transformation—or its inverse—on a given input state using arbitrary sample input-output states of the transformation.

Unlike Pauli noise (or other forms of unital noise), the presence of sufficiently weak nonunital noise still allows local quantum circuits to run computations of exponential depth without midcircuit measurements for error correction, thereby achieving computational complexity on par with ideal (noiseless) quantum computers.

Tile Trotterization is developed as an efficient method to simulate arbitrary lattice Hubbard and extended Hubbard models in early fault tolerance, and numerical methods are applied to more accurately bound Trotter error.

A new numerical method based on an unraveling of a quantum master equation exploiting Gaussian states enables efficient simulation and physical insights into dissipative many-body spin chains.

Spectral diffusion of T centers in silicon photonic crystal cavities is studied, modeled, and ultimately reduced, with future applications in quantum networking and photonic quantum computing.

Spectral hole burning and check-probe spectroscopy of T centers in silicon photonic crystal cavities elucidate the origins and relevant timescales of spectral diffusion.

A new design for a superconducting qubit that can absorb noise-induced fluctuations may provide a path to qubit protection that avoids physical qubit overhead of quantum error-correction codes.

Fast single- and two-qubit-gate implementations are demonstrated for exchange-only qubits using simultaneous exchange pulses, with experimental validation on a silicon quantum dot device.

A novel scheme leverages Bell measurements and local operations to compare quantum states across platforms, achieving provable efficiency for low-complexity inputs and establishing fundamental hardness for highly entangled regimes.

Mixed-state topological phases in the toric code remain robust against a wide range of coherent noise, with the identified phase boundaries establishing upper bounds on the intrinsic error threshold beyond which quantum error correction fails.

Fast, variational ground-state preparation algorithms unlock the full programmability of optical-lattice Fermi-Hubbard quantum simulators and enable an efficient exploration of regimes beyond the capabilities of current classical methods.

Development of compact, analytical control pulses allows fast and accurate operations on qudits without disturbing the rest of the system.

New algorithms for simulating Markovian open quantum systems reduce or remove entirely the dependence on the number of jump operators representing environmental interactions, leading to reduced computational overhead.

For a class of quantum systems that exhibit contextuality, a rigorous theoretical connection between anomalous heat flow and quantumness is established, thereby opening avenues to explore nonclassical phenomena in thermodynamics.

This work proposes new multispin qubit designs that couple to microwave photons via an added empty quantum dot, enabling scalable long-range two-qubit interactions while being robust to noise and avoiding the challenges of direct microwave spin control.

A hybrid quantum-classical $Ansatz$ simulates many-body dynamics by augmenting Trotterized quantum circuits with a trainable classical method, enabling Trotter error mitigation and scalable, SWAP-free execution.

Noisy boson sampling is shown to retain classical hardness even when a logarithmic fraction of photons are mutually distinguishable.

Researchers demonstrate that, using erasure qubits, local Lindblad dynamics can stabilize both Abelian and non-Abelian mixed-state topological order in two dimensions.

A measurement of the collective Lamb shift in a one-dimensional array of 30 dysprosium atoms shows how dipole interactions shift the resonance in both low- and high-excitation regimes, linking linear optics and Ramsey spectroscopy results.

A minimal quantum-dot setup emulates key features of a Majorana tetron, offering a tunable platform to explore nonlocality and the topological Kondo effect without full topological protection.

A nearly query-optimal protocol for classical shadow estimation of unitary channels is introduced, achieving a quadratic efficiency gain over existing methods and establishing tight theoretical bounds on query complexity.