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Mikhail Lukin

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Neural Decoders Enable Practical Fault-Tolerant Quantum Computing

Quantum error correction (QEC) is critical for scalable quantum computing, but existing decoding algorithms limit the potential of quantum low-density parity-check codes. This research introduces a convolutional neural network (CNN) decoder that leverages geometric code structure. The CNN decoder achieves significantly lower logical error rates and higher throughput, suggesting reduced space-time costs for fault-tolerant quantum computation.

Digital Measurement-Based Protocol Prepares Gapless Frustration-Free Ground States in Polynomial Time

The protocol uses local projective measurements and unitary feedback to prepare unknown ground states of frustration-free gapless quantum systems in polynomial time scaling with system size. For single-particle dynamics, performance is analytically proven; many-body generalization relies on quasiparticle physics, with preparation time linear in the inverse finite-size gap (up to logs) when the dynamical critical exponent z ≥ effective quasiparticle dimension d. Transient cooling reveals universal critical properties, verified numerically on 1D/2D Heisenberg ferromagnets, Fredkin chain, and 2D RVB model. Fully digital, it outperforms adiabatic methods for high-fidelity access in near-term devices.

Analog-Digital Neutral Atom Simulator Engineers Critical Quantum Spin Liquid on 271-Site Kagome Lattice

Researchers demonstrate an analog-digital quantum simulator using Rydberg-hyperfine qubit mapping in neutral atom arrays, enabling programmable state preparation, non-destructive readout, atom reuse, and loss mitigation via reservoirs. They engineer ring-exchange and hopping dynamics via Floquet driving and measure single-excitation spectral functions. On a 271-site kagome lattice, closed-loop optimization realizes an out-of-equilibrium Rokhsar-Kivelson critical quantum spin liquid, evidenced by absent local order, long-range dimer coherences up to 18 sites, and field-theory-consistent correlations.

In-Situ Syndrome-Based Benchmarking Enables Efficient Characterization of Fault-Tolerant Clifford Circuits

The method maps fault-tolerant Clifford circuits to subsystem codes via spacetime code formalism, enabling estimation of Pauli noise from syndrome data alone. It provides necessary and sufficient conditions for learnability of physical and logical errors, predicting logical fidelities accurately with polynomial sample complexity. This yields exponential advantages over logical-data-only methods like direct fidelity estimation, even for exponentially suppressed logical error rates, and is validated on synthetic and experimental data from Bluvstein et al.

Phantom Codes Enable Perfect-Fidelity Logical Entanglement via Qubit Relabeling

Phantom codes are quantum error-correcting codes that implement fault-tolerant entangling gates between all logical qubits in a code block solely through physical qubit relabeling during compilation, achieving perfect fidelity without spatial or temporal overhead. The authors enumerate 2.71×10^10 CSS codes up to n=14 qubits, identify further instances up to n=21 using SAT methods, and construct higher-distance families from quantum Reed-Muller and binarized qudit codes. Noisy simulations demonstrate 1-2 orders of magnitude lower logical infidelity than surface codes for GHZ preparation and Trotterized simulations at comparable overhead.

Inverse Quantum Simulation Enables Design of Quantum Materials with Tailored Properties

Inverse quantum simulation inverts traditional forward simulation by minimizing a cost function encoding desired material properties on quantum hardware to prepare target many-body states. Hamiltonian learning then reconstructs a low-energy Hamiltonian for which this state is an approximate ground state, providing interpretable models for synthesis. Applications include enhancing d-wave correlations in the fermionic Hubbard model for high-Tc superconductors, stabilizing topological order, and optimizing photochemical and spectroscopic properties.

Rydberg Polariton-Atom Interactions Span Blockade, Exchange, and Hopping Regimes via Exceptional Point Transition

Experiment demonstrates three quantum interaction regimes between a Rydberg polariton in an atomic ensemble and an adjacent single Rydberg atom: polariton blockade, coherent exchange, and probabilistic hopping, distinguished by transmission spectra. A transition through an exceptional point occurs between blockade and coherent exchange. These interactions enable fast, non-destructive Rydberg atom detection and show promise for nonlinear photonic networks.

Perpendicular Dressed-State Encoding Boosts NV Ensemble Coherence and Magnetometry Sensitivity

Researchers introduce dressed-state qubit encoding under a magnetic field perpendicular to the diamond lattice, enabling direct enhancement of native dipolar interactions in NV center ensembles. This yields a 3.2× improvement in the JT₂ coherence parameter over Floquet methods and 2.6× (8.3 dB) better AC magnetometry sensitivity. The extended coherence facilitates probing spin transport at intermediate-to-late times, offering a versatile tool for interacting spin systems.

Neutral Atom Quantum Computing Reaches Utility Scale

Mikhail Lukin, Chief Scientist at QuEra, highlights a critical juncture for neutral atom quantum computing, with recent advancements enabling the integration of all necessary elements for large-scale, utility-grade machines. This progress, built on decades of foundational research, signifies a shift from theoretical concepts to practical implementation. The field now requires a co-design approach, integrating diverse disciplines and pushing scientific frontiers simultaneously to accelerate development.

Local Arrows of Time Emerge Relative to Subsystems in Quantum Many-Body Dynamics

Quantum many-body systems exhibit local arrows of time that can deviate from the global Hamiltonian-induced time evolution, rendering time flow observer- or subsystem-dependent. The paper defines these local arrows and links them to spacetime quantum entropies. Numerical and analytical examples demonstrate manifestations including quantum thermalization and error correction phenomena.

Neutral-Atom Simulator Reveals Prethermal Steady States and Dynamical Phase Transitions in Quench Dynamics

A programmable neutral-atom quantum simulator with up to 180 qubits explores quench dynamics in spin models, identifying stable dynamical regimes stabilized by Floquet-like prethermal steady states over long timescales via strong dynamical constraints. Sharp resonant peaks in the response arise from structured melting of prethermalization. In 2D, a sharp dynamical response shift, converging with system size and tied to Néel-order defect proliferation, signals a dynamical phase transition without equilibrium counterpart.

Batched Fault-Tolerant Gadgets Enable High-Rate Parallel Computation for Arbitrary Quantum LDPC Codes

High-rate qLDPC codes extend to computation via batched operations that apply identical logical gates across multiple code blocks in parallel, achieving constant space-time overhead for arbitrary CSS codes in single-shot error correction, state preparation, surgeries, code switching, and addressable Clifford gates. Parallel non-Clifford gates follow with low space-time cost, enabling efficient compilation of parallel quantum algorithms like lattice Hamiltonian simulations. Near-term implementation uses self-dual Bivariate-Bicycle codes (encoding rate ~1/10) with transversal Cliffords and global T gates, outperforming surface codes and low-rate qLDPCs in simulation costs.

EIT Cooling Enables High-Fidelity Imaging of Rb Atom Arrays in Finite Magnetic Fields

Researchers demonstrate loading, cooling, and imaging of 87Rb atom arrays in finite magnetic fields using electromagnetically induced transparency (EIT) cooling combined with fluorescence imaging. The technique achieves 99.6(3)% readout fidelity at 98.2(3)% survival probability and up to 68(2)% single-atom stochastic loading. A predictive model for survival probability aligns with this and other atom array experiments, cooling both axial and radial directions to support continuous neutral atom quantum processors.

Attention-Based Neural Decoders Achieve State-of-the-Art Performance for Algorithmic Quantum Error Correction

Modular attention-based neural decoders learn gate-induced error correlations, generalizing from random circuit training to multi-qubit algorithmic workloads with fast inference and logical error rates matching most-likely-error decoders. They incorporate loss-resolving readout for realistic noise, including qubit loss, and simplify design by targeting algorithm-specific observables without accuracy loss. Validated on surface and 2D color codes under circuit-level noise, these decoders provide interpretability via attention mechanisms and enable deep-circuit fault-tolerant quantum algorithms.

Quantum Algorithms Surpass Classical Limits in Weak Signal Optical Imaging

Conventional optical imaging suffers from shot-noise-limited SNR due to signal integration and classical post-processing of asynchronously arriving photons. The proposed method encodes photonic amplitude into qubit registers for coherent quantum processing, bypassing these constraints. Applied to unresolved point source imaging for exoplanet detection, it achieves orders-of-magnitude performance gains using small-scale quantum processors under realistic conditions.

Reconfigurable Qubits Enable Logarithmic Overhead Fermion Simulation

New method uses reconfigurable quantum systems with non-local connectivity, mid-circuit measurement, and classical feedforward to generate dynamical fermion-to-qubit mappings, reducing space-time overhead from O(N) to O(log N) for N fermionic modes. For structured circuits like fermionic FFT, overhead drops to O(1). Technique enables efficient simulation of SYK model, periodic materials, and free-fermion state preparation, with orders-of-magnitude gate reductions compatible with fault-tolerant devices.

Tricycle Codes Enable Efficient Magic State Generation with Small Block-Length Quantum LDPC Codes

Tricycle codes extend bicycle codes to three homological dimensions, supporting constant-depth physical circuits for logical CCZ gates across three code blocks via new analytical and numerical methods for 3D homological products. They facilitate single-shot magic state preparation and error correction, yielding high circuit-noise thresholds above 0.5%. Simulations demonstrate logical error rates below 6e-10 for 50-100 qubit blocks with modest post-selection, optimized for reconfigurable neutral atom platforms.

Rydberg Atoms on Triangular Lattice Host Deconfined Quantum Critical Point Between 1/3 and 2/3 Excitation Phases

Theoretical and numerical analysis identifies a deconfined quantum critical point (DQCP) in triangular-lattice Rydberg atom arrays between ordered phases at 1/3 and 2/3 excitation densities, previously observed experimentally. Field theory predicts critical exponents for infinite cylinders and a critical conformal field theory with emergent U(1) symmetry, a DQCP hallmark, validated numerically. Results extend to ladder geometries, enabling experimental probes of U(1) symmetry via finite tweezer arrays.

Neutral Atom Arrays Realize Universal Fault-Tolerant Quantum Computing with Below-Threshold Error Suppression

Researchers demonstrate a full universal fault-tolerant quantum architecture using reconfigurable arrays of up to 448 neutral atoms, implementing surface codes with 2.14x below-threshold error suppression via repeated QEC and ML decoding. They achieve logical entanglement via transversal gates and lattice surgery, extend to universal logic with 3D [[15,1,3]] codes and transversal teleportation for arbitrary-angle synthesis at logarithmic overhead, and enable mid-circuit qubit reuse boosting cycle rates by 100x for deep circuits with dozens of logical qubits using [[7,1,3]] and [[16,6,4]] codes while keeping constant entropy. These experiments elucidate principles like balancing quantum logic with entropy removal, physical entanglement in gates, and teleportation for universality and reset in neutral atom systems.

Continuous 3000-Qubit Neutral Atom Array Achieves Two-Hour Operation via High-Rate Reloading

Researchers demonstrate continuous operation of a 3000-qubit neutral atom array using dual optical lattice conveyor belts to transport atom reservoirs into the science region for high-rate extraction into tweezers. The system reloads 300,000 atoms per second, enabling over 30,000 initialized qubits per second and sustaining the array for over two hours. Quantum coherence is preserved during refilling, supporting spin-polarized or superposition states for scalable quantum computing and metrology.

Local-Control Quantum Phase Estimation Cuts Circuit Depth for Spectral Analysis

This method enables quantum phase estimation using only local control operations, eliminating the need for global unitaries conditioned on auxiliary qubits. It measures the complex phase of the Loschmidt echo for circuit and Hamiltonian dynamics by tracking phase changes, trading reduced circuit depth for higher sampling and classical postprocessing costs. Applicable to any efficiently preparable state without reference states, it supports spectral property measurements in large many-body systems on current hardware.

Nanoscale Magnetic Gradients Enable Disorder-Resilient Collective Spin Dynamics in Diamond Ensembles

Researchers demonstrate coherent collective many-body dynamics in dense, disordered electron spin ensembles in diamond by applying time-dependent magnetic field gradients alongside global coherent control. This approach generates and probes nanometer-scale spin spirals, with Hamiltonian engineering enhancing microscopic interaction symmetry to achieve disorder-robust spin evolution. The technique overcomes dipolar coupling limitations from positional disorder, paving the way for interaction-enhanced quantum metrology and ambient-condition nanoscale imaging of materials and biology.

Hybrid Light-Matter Architecture Enables Scalable Fault-Tolerant Blind Quantum Computing

Researchers propose a hybrid light-matter approach for fault-tolerant blind quantum computation (BQC), leveraging high-fidelity local gates on server matter qubits and photon-based delegated blind rotations. This constructs loss-tolerant delegated gates, enabling efficient algorithm compilation and scalable fault-tolerant logical algorithms. The design improves error-correction thresholds, boosts blind logical circuit speed and depth, and maps to neutral atom arrays and solid-state spin defects.

Transversal Neutral Atom Architecture Speeds Up Fault-Tolerant Quantum Computing by 50x

A low-overhead architecture for reconfigurable neutral atom arrays leverages transversal gate operations and dynamic connectivity to implement fault-tolerant building blocks like magic state factories, arithmetic units, and look-up tables. It achieves runtime speed-up scaling with code distance d by minimizing atom move times and decoding volume. Resource estimates show 2048-bit RSA factoring requires 19 million qubits and 5.6 days at 1 ms QEC cycles, yielding ~50x runtime improvement over prior estimates without added space.

Fast Correlated Decoding Reduces Syndrome Rounds and Runtime for Transversal Quantum Algorithms

Reformulates decoding of transversal quantum circuits by tracking logical operator products, reducing syndrome extraction rounds by code distance d while resembling single-qubit memory decoding. Enables minimum-weight perfect matching for fault-tolerant surface code decoding with thresholds matching single-qubit memory. Benchmarks show decoding runtime below conventional lattice surgery, extending single-qubit QEC to multi-qubit transversal algorithms.

Sub-Diffraction NV Magnetometry Probes Wideband Magnetic Correlations

Researchers demonstrate wideband magnetic correlation measurements using spectrally resolved NV centers in diamond, achieving spatial resolution below the optical diffraction limit and MHz noise sensitivity of 15 nT/√Hz. The technique leverages high-fidelity optical readout and long spin coherence for MHz-range probing, extending to GHz-range via correlated T1 relaxometry. Under external GHz noise, NV correlations reveal coherent and incoherent dynamics akin to superradiance, despite featureless individual relaxations, enabling study of nonlocal condensed-matter phenomena.

Time-Reversed Two-Axis Twisting Doubles Signal Amplification in Dense NV Spin Ensembles

Researchers demonstrate many-body signal amplification in a room-temperature 2D ensemble of NV centers in diamond using time-reversed two-axis-twisting interactions engineered via dynamical quantization axis control and Floquet methods. Optimal amplification occurs when backward evolution time equals twice the forward evolution time, contrasting conventional Loschmidt echoes. This arises from time-reversed mirror symmetry in the dynamics, enabling entanglement-enhanced quantum magnetic sensing.

Non-Variational CD Driving Guarantees Exponential Convergence and Spectral Gap Optimality

Proposes a non-variational, system-agnostic counterdiabatic (CD) expansion that converges exponentially in order, with finite-system resources scaling as the inverse spectral gap—argued asymptotically optimal. Extends to thermodynamic limit using finite-time adiabatic protocols, requiring only quantum speed limit time for ground state preparation without trajectory optimization. Outperforms variational CD methods on quantum Ising chain benchmarks.

Delayed-Erasure Decoding Harnesses Loss Detection for Fault-Tolerant Quantum Computing

Develops a delayed-erasure decoder for general quantum error correction codes that leverages delayed loss detection to correct qubit loss errors in logical circuits, even without precise error timing. Identifies circuit-structure-dependent strategies for loss correction, including low-overhead syndrome integration for deep circuits and natural handling via gate teleportation in shallow subroutines. Simulations on small-angle synthesis show marked performance gains as loss fraction rises, advancing fault tolerance in loss-prone neutral atom systems.

Constant-Overhead qLDPC Bell-Pair Distillation Achieves Fault Tolerance at 10% Input Fidelity

A fault-tolerant Bell-pair distillation protocol uses high-rate qLDPC codes to achieve constant overhead, matching the code rate without extra physical qubits. Circuit-level analysis confirms fault tolerance for input infidelities below ~10%, feasible with near-term hardware. Output Bell pairs remain encoded in qLDPC codes, bypassing un-encoding costs and enabling direct distributed quantum computation.

Neutral-Atom Quantum Computer Simulates Kitaev Honeycomb Fermions and Verifies Non-Abelian Spin Liquid

Researchers implement a digital quantum simulation of 2D fermionic systems on reconfigurable neutral-atom arrays using a Kitaev honeycomb fermion-to-qubit mapping with long-range entangled states prepared via measurement and feedforward. Fermionic evolution is achieved through Floquet engineering with tunable entangling gates and atom rearrangements, enabling preparation of topological states across the Kitaev model's phase diagram, including verification of the non-Abelian spin liquid via odd Chern number. The platform also probes fermion exchange statistics and simulates Fermi-Hubbard model dynamics on square lattices, advancing simulations for materials and chemistry.

Derandomized Shallow Shadows Enable Efficient Learning of Non-Commuting Pauli Observables with Bounded-Depth Circuits

The derandomized shallow shadows (DSS) algorithm learns large sets of non-commuting Pauli observables using shallow circuits for basis rotations, minimizing sample complexity via optimized shallow measurement circuits. Tensor network techniques ensure polynomial classical resource scaling. Numerical benchmarks show DSS outperforms state-of-the-art methods for quantum chemistry energy estimation and many-body system verification, with performance improving as circuit depth increases.

Neutral-Atom Platform Achieves First Experimental Magic State Distillation for Fault-Tolerant Quantum Computing

Researchers demonstrate magic state distillation using logical qubits encoded in d=3 and d=5 color codes on a neutral-atom quantum computer with dynamically reconfigurable architecture. The protocol processes multiple logical qubits in parallel, yielding output magic states with higher logical fidelity than inputs. This marks a critical experimental milestone toward scalable, universal fault-tolerant quantum computation.

Experimental Realization of Universal Blind Quantum Computing with Distributed SiV Qubits

Researchers demonstrate universal blind quantum computing (BQC) using silicon-vacancy (SiV) centers in nanophotonic diamond cavities over a two-node distributed network. They implement a complete set of single- and two-qubit blind gates via efficient optical interfaces, enabling a client to perform remote computations without revealing circuit details. This advances matter-qubit platforms toward scalable, modular BQC architectures, as published in Science.

Non-Markovian Feedback Reduces Entropy in Iterative Quantum Control

Researchers experimentally probe thermodynamic costs and information flow in a silicon-vacancy spin qubit coupled to a diamond nanocavity using iterative measurement and feedback. They verify the second law and fluctuation theorem incorporating quantum information measures, and quantify reducible entropy via feedback causal structure. Non-Markovian feedback demonstrates thermodynamic advantages over Markovian protocols, extending quantum thermodynamics frameworks for real-time control.

Rydberg Encoding Induces Exponential Gap Closure from Ground-State Localization in Quantum Adiabatic Optimization

Encoding combinatorial optimization problems into Rydberg atom arrays via Nguyen et al. scheme causes exponential minimum gap closure along adiabatic paths, even for trivial problems, due to quantum coherent localization of the ground-state wavefunction. This localization degrades success probability on QuEra Aquila hardware. Quantum-aware encoding modifications avoid this bottleneck, yielding exponential adiabatic performance gains.

Rydberg Atom Simulator Observes String Breaking in (2+1)D Lattice Gauge Theory

Researchers implemented a (2+1)D U(1) lattice gauge theory with dynamical matter on a Kagome lattice using Rydberg-blockaded neutral atoms, where long-range interactions produce tunable linear confining potentials between charges. They mapped the phase diagram by preparing ground states with defects, revealing substructure in the confined phase between fluctuating and broken string regimes. Quenching string states demonstrated string breaking dynamics with many-body resonances, advancing quantum simulation of high-energy physics phenomena.

Cavity-Mediated Error Detection Boosts Neutral-Atom Qubit Readout and Entanglement Fidelity

Researchers demonstrate a Fabry-Perot fiber cavity coupled to single neutral atoms in optical tweezers, achieving 99.960% fidelity in fast, nondestructive qubit readout via strong atom-cavity coupling. They implement cavity-carving for probabilistic Bell state generation at 91% fidelity and 32% success rate, and a deterministic cavity-mediated entangling gate reaching 76% fidelity with integrated error detection. This platform enables modular quantum computing and networking by combining high-fidelity readout with error-detected remote entanglement.

Optical Evidence of Interlayer Electron Coherence via Exciton Hybridization in Doped MoS2 Bilayers

In electron-doped MoS2 homobilayers, indirect excitons with opposing dipoles hybridize unusually under negligible tunneling conditions, exhibiting behavior distinct from level crossing or anti-crossing. This is attributed to static random coupling that strengthens with electron density and weakens with temperature. The phenomenon indicates a spatially fluctuating order parameter representing interlayer electron coherence, a predicted many-body state previously unobserved outside quantum Hall regimes.

Constant-Rate Entanglement Distillation Enables Scalable Quantum Interconnects

Researchers introduce a sequence of two-way entanglement distillation protocols using quantum error detecting codes with increasing rates, combined with fault tolerance techniques, to achieve constant-rate entanglement generation under noisy local operations. This addresses fidelity and rate bottlenecks in quantum interconnects for large-scale distributed quantum computing. Optimized schemes demonstrate an order-of-magnitude performance improvement over existing methods, accelerating distributed quantum algorithms while respecting memory constraints.

Local Adiabatic Protocol Extracts Long-Range Topological Entanglement from Small Subsystems

Topologically ordered quantum matter displays long-range entanglement patterns detectable via subsystem entropies, but direct measurement on large partitions is exponentially challenging. The proposed protocol uses local adiabatic Hamiltonian deformations to isolate universal topological features, requiring measurements only on small, finite subsystems after polynomial-time evolution. It applies generally across quantum simulators, demonstrated on abelian and non-abelian string-net models with neutral atom array simulations.

Reinforcement Learning Optimizes Measurement-Free Local Error Correction to Extend Quantum Memory Lifetimes

Researchers propose measurement-free local error correction (LEC) using faulty multi-qubit gates for syndrome extraction and error removal, optimized via reinforcement learning from a fixed gate set. Optimized LEC circuits extend logical qubit lifetimes in the 2D classical Ising model and 4D toric code, outperforming conventional Toom's rule-based LEC in sub-threshold gate error regimes. These circuits also reduce mid-circuit readout frequency while preserving 2D toric code memory and enable dissipative preparation of topologically ordered states.

Fault-Tolerant Scaling of Neutral-Atom Arrays via Photonic Interconnects

Photonic links enable fault-tolerant connectivity between locally error-corrected neutral-atom modules by leveraging surface code robustness to boundary noise. Fault tolerance requires local Rydberg gate errors below 1% and non-local Bell pair errors below 10%, achievable without distillation or overheads. Lens, single cavity, or cavity array interconnects yield 1-50 MHz Bell pair rates, translating to 25-2000 kHz error-correction cycles for direct logical qubit interfaces, supporting up to 100 kHz logical clock speeds.

Floquet Engineering Enables Tunable Interactions and Multipartite Entanglement in Rydberg-Blockaded Chains

Researchers introduce a Floquet engineering method for Rydberg-blockaded neutral atom arrays, using time-dependent detuning control and perturbations around periodic many-body trajectories to engineer effective Hamiltonians. This technique generates novel interactions like strong spin exchange in 1D chains, enabling gapless Luttinger liquid phases while respecting blockade constraints. Combining these excitations with blockade dynamically produces large-scale multipartite entanglement, with discussed experimental feasibility.

Periodic Driving Generates Tunable Multi-Body Interactions for Dynamical U(1) Gauge Simulations in Rydberg Arrays

Researchers propose simulating dynamical lattice gauge theories using periodically driven Rydberg atom arrays on constrained PXP models. Frequency-modulated global pulses create controlled deviations from time-reversed trajectories, yielding effective Hamiltonians with non-perturbative multi-body interactions like ring exchange. Applied to 2D U(1) LGT on Kagome lattice, this engineers strong tunable six-body magnetic plaquette terms relative to matter kinetic energy, accessing new dynamical regimes.

Parallel Logical Gates for qLDPC Codes Enable Low-Overhead Fault-Tolerant Quantum Computation

This work introduces fast, parallelizable logical gates for high-rate qLDPC codes using transversal CNOTs with modified ancilla codes derived from hypergraph products, achieving parallel Pauli product measurements (PPMs) on subgrids of logical qubits with reduced space-time costs. For 3D/4D homological product codes, PPMs operate in constant depth. It demonstrates O(1) space overhead for k-qubit GHZ preparation in O(1) cycles and magic state distillation/teleportation in O(√k log k) cycles, plus efficient quantum adders, compatible with reconfigurable architectures like neutral atom arrays.

Electrical Fields Enable Dynamic Tuning of Exciton Emission and Decay in TMD Heterostructures

Researchers achieve dynamical control of long-lived interlayer excitons in angle-aligned MoSe2/WSe2 heterostructures using fast electrical gating. Out-of-plane dipole moments allow electric fields to tune emission wavelength mid-lifetime, while patterned gates enable rapid local doping to toggle radiative decay rates via exciton-charge interactions. Spatial mapping reveals charge redistribution, probing electronic transport in twisted TMDs, enabling exciton-based optoelectronics and quantum processing.

Rydberg Simulator Reveals Curvature-Driven Coarsening and Higgs Mode in 2+1D Ising Quantum Critical Dynamics

A Rydberg atom array quantum simulator observes coarsening of antiferromagnetic domains after crossing a (2+1)D Ising quantum critical point, with correlation growth driven by domain boundary curvature. Dynamics accelerate near criticality, validated by deterministic domain preparation and tracking. Long-lived order parameter oscillations identify an amplitude (Higgs) mode, providing empirical insight into nonequilibrium quantum many-body processes.

Transversal Fault Tolerance Enables Constant-Round Logical Operations for Surface Code Quantum Computing

Researchers demonstrate fault-tolerant logical operations using only a constant number of syndrome extraction rounds for surface codes and similar QEC codes, bypassing the conventional O(d) rounds required due to measurement errors. This "transversal algorithmic fault tolerance" combines transversal gates with correlated decoding of partial syndromes, ensuring exponential suppression of logical error rates in code distance d. Circuit-level simulations confirm over an order-of-magnitude reduction in space-time costs for practical fault-tolerant quantum computation.

Sweep-Quench-Sweep Algorithm Bypasses Adiabatic Limits in Rydberg Quantum Simulators

Adiabatic state preparation fails for large quantum systems due to exponentially vanishing energy gaps, prolonging required evolution times. A sweep-quench-sweep protocol incorporates a quench step to induce macroscopic state reconfigurations via large Hamming distance jumps, resembling quantum many-body scars. Experiments on QuEra's Aquila Rydberg atom array simulator validate this approach, showing superior performance over pure adiabatic methods for scalable many-body systems.

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