993 papers
This paper demonstrates that a realistic discrete-event quantum network simulator can accurately model the experimental BBM92 quantum key distribution protocol with higher precision than analytical theory, while also reliably predicting secure key rates for untested repeater scenarios where experimental data is unavailable.
This paper analyzes the stability of digital-analog quantum computation protocols against Hamiltonian characterization errors by establishing bounds on implementation deviations and proposing a dynamical-decoupling-inspired mitigation strategy to enable scaling to larger systems.
This paper experimentally probes and characterizes the multiphoton ionization dynamics of transmons during strong dispersive readout, quantifying critical photon thresholds and state populations while verifying the Landau-Zener nature of the transition through pulse-shaping techniques and theoretical modeling.
This paper introduces Layered KIK, a novel quantum error mitigation technique that employs layer-based noise amplification to overcome the limitations of global amplification in dynamic circuits, thereby enabling seamless integration with mid-circuit measurements, quantum error correction, and other complementary methods to suppress residual errors without additional overhead.
This paper reports the first experimental observation of quantum interferences in room-temperature rotational energy transfer between CO and H molecules, demonstrating excellent agreement with 4-D close-coupling quantum calculations and providing a critical benchmark for modeling CO emissions in warm astrophysical environments.
This paper proposes a Graph Neural Network framework that leverages the natural graph structure of quantum circuits to accurately predict output expectation values under noisy and noiseless conditions, demonstrating superior performance over CNNs and introducing a novel "Direct Comparison" scheme that significantly outperforms traditional indirect methods in evaluating the relative performance of parameterized quantum circuits for tasks like ground state energy estimation.
This paper initiates a comprehensive theory of multi-particle scattering on general graphs, demonstrating how such systems can achieve universal quantum computation and providing initial constructions for multi-particle gadgets that implement specific unitary operations.
This paper establishes fundamental lower limits on the work costs for quantum feedback control by deriving tight single-shot bounds based on two operational principles, which generalize to a conditional Helmholtz free energy in the asymptotic limit and provide a thermodynamic interpretation for negative conditional entropies.
This paper proposes a quantum metasurface composed of a tunable two-dimensional atom array that can exist in a superposition of transmissive and reflective states, enabling the detection of subtle frequency shifts caused by vacuum particle creation resulting from non-perturbative changes in electromagnetic boundary conditions.
This paper demonstrates a quantum advantage for specific instances of the Optimal Polynomial Interpolation problem, particularly on Reed-Solomon codes, by integrating the Koetter-Vardy soft decoder with a novel generic reduction from syndrome decoding to coset sampling within Regev's framework.
This paper demonstrates that quantum-enhanced, Heisenberg-limited sensing of Rashba spin-orbit coupling in 1D quantum wires can be achieved across a wide parameter range without fine-tuning by exploiting the gap-closing nature of the probe, offering a significant advantage over conventional criticality-based sensors.
The paper introduces LUCI, a flexible framework for constructing fault-tolerant surface code circuits that adapt to qubit and coupler dropouts by preserving spacelike distance at the cost of halved timelike distance, thereby achieving significantly lower logical error rates and reduced physical qubit requirements compared to existing methods.
This paper proposes novel, tight criteria for detecting entanglement in continuous variable systems using Wigner function measurements, offering a practical alternative to quadrature-based methods for platforms where homodyne detection is challenging.
This paper introduces the Shadow Quantum Linear Solver (SQLS), a resource-efficient hybrid quantum algorithm that combines variational methods with classical shadows to solve linear systems on current noisy hardware with logarithmic qubit requirements and exponential advantages in circuit execution, successfully demonstrated by solving a discretized 2D Laplace equation.
This paper proposes a superconducting spatiotemporal metasurface that achieves one-way nonreciprocal absorption through a classical analogue of photon blockade, where forward waves are resonantly absorbed via harmonic conversion while backward waves transmit freely, offering a promising pathway for compact quantum information devices.
This paper presents a hybrid quantum-classical algorithm utilizing a universal Euler-Cartan parametrized circuit ansatz to efficiently compute non-perturbative characteristics, such as energy spectra and excitation states, of quantum field theories on lattice realizations with both short and long-range interactions.
This paper presents an architectural model and resource estimation tool for modular superconducting fault-tolerant quantum computers to predict the physical scale, power consumption, and execution time required for practical algorithms, thereby quantifying the bottlenecks and trade-offs involved in scaling to millions of qubits.
This paper introduces a novel postprocessing framework using "recycled probabilities" to mitigate photon loss in linear optical quantum circuits, demonstrating that it can outperform the standard postselection method by achieving lower combined bias and statistical errors, whereas zero-noise extrapolation fails to offer similar improvements.
This paper introduces the NQS-DQME framework, which encodes environmental memory into dissipaton quasiparticles to enable neural quantum states to efficiently and accurately simulate non-Markovian open quantum dynamics with improved scalability and interpretability.
This paper resolves the conflict between quantum measurement and thermodynamics by demonstrating that objective measurement outcomes emerge through the equilibration of "objectifying observables" in isolated systems, provided the environment is coarse-grained into observer systems to suppress measurement errors.