1157 papers
This paper proposes a general construction principle for non-Hermitian topological operators in any dimension that maintain real eigenvalues and robust zero-energy boundary modes without exhibiting the non-Hermitian skin effect, thereby extending the bulk-boundary correspondence to a broad class of non-Hermitian insulators and semimetals.
This paper introduces a method to solve stochastic Schrödinger equations driven by realistic colored noise, such as Ornstein-Uhlenbeck processes, to predict the full distribution and statistical moments of qubit fidelity, thereby aiding in noise tolerance assessment and optimal control for future quantum computing systems.
This paper presents an integrated hybrid quantum-classical pipeline featuring custom ansatzes, staged parameter updates, and automated error suppression that enables gate-model quantum computers to solve nontrivial binary combinatorial optimization problems on up to 156 qubits with high-quality solutions, significantly outperforming both naive implementations and classical local solvers.
This paper demonstrates that the Simple Update (SU) method offers a computationally efficient alternative to the canonical form (CF) for Matrix Product State simulations, achieving comparable accuracy on highly entangled and diverse quantum circuits while significantly reducing computational complexity.
This paper introduces a computationally efficient methodology for constructing generalized noncontextual polytopes with constant preparation dimensions, enabling the discovery of new noncontextuality inequalities and their application to quantum certification tasks such as verifying non-projective measurements, witnessing system dimensions, and certifying randomness.
This paper proposes an annealing-based algorithm that solves partial differential equations by transforming discretized linear systems into generalized eigenvalue problems, enabling efficient computation of eigenvectors to arbitrary precision without increasing the number of variables.
This paper proposes a hybrid quantum-classical clustering algorithm that prepares a prior distribution for eigenspectra by transforming Hamiltonians, representing parameters, and clustering to efficiently identify ground and excited states, demonstrating its scalability and effectiveness for both near-term and fault-tolerant quantum devices through applications to the 1D Heisenberg and LiH systems.
This paper presents optimized quantum simulation algorithms for scalar field theories using finite volume approaches and various fault-tolerant techniques, demonstrating that physically meaningful scattering process simulations are feasible with approximately 4 million physical qubits and $10^{12}$ T-gates, placing them within the reach of near-term quantum hardware capabilities comparable to leading chemistry simulations.
This paper establishes a formal relationship between contextuality and antidistinguishability by demonstrating that while contextuality implies weak antidistinguishability, critical contextuality represents a stronger resource that directly correlates with the degree of antidistinguishability in sets of quantum states.
This paper employs the Lanczos algorithm to investigate Krylov complexity in the early universe as an open system across inflation, radiation, and matter domination epochs, revealing distinct dissipative behaviors, the similarity of complexity evolution across various inflationary potentials, and deriving new evolution equations for squeezing parameters via Meixner polynomials to demonstrate rapid decoherence-like effects.
The authors developed a compact, low-power (1 µW) tunnel diode oscillator operating at 140 MHz with enhanced amplitude stability and phase noise (-115 dBc/Hz at 1 MHz offset), demonstrating its suitability for scalable qubit readout in semiconductor and liquid helium systems.
This paper proposes and validates a scheme to estimate the equilibration times of local observables in quantum chaotic systems using Lanczos coefficients, demonstrating that these times are finite and physically realistic even in the thermodynamic limit.
This study demonstrates the amplification of microwave pulses using a single-qubit engine fueled by quantum measurement backaction, validating indirect work estimation methods and confirming the system's stability against decoherence and drifts.
This paper introduces Fidelity-Enhanced Variational Quantum Optimal Control (F-VQOC), a novel method leveraging the stochastic Schrödinger equation to design robust quantum pulses that significantly outperform traditional non-stochastic approaches in fidelity for both single and multiqubit state preparations under various noise conditions.
This paper presents an 8-bit cascaded random access quantum memory that utilizes a buffer layer to enable a single transmon to address eight high-coherence storage modes with low infidelity, thereby offering a scalable solution for integrating memory into superconducting quantum processors.
This paper presents a consensus-based algorithm that optimizes qubit positions on neutral atom platforms to tailor interatomic interactions, thereby accelerating convergence and mitigating barren plateaus in variational quantum algorithms for ground state minimization problems.
This paper presents a radio-frequency reflectometry method using frequency-modulated microwaves to probe the quantum capacitance of Rydberg transitions in surface electrons on liquid helium, achieving a sensitivity of 0.34 aF/ that enables the detection of single-electron transitions for scalable qubit readout.
This paper theoretically demonstrates an exact duality mapping between the low-energy charge-dependent bands of a charge-biased Josephson tunnel junction coupled to a finite transmission line and its flux-biased counterpart, revealing that both systems converge to a resistively shunted junction in the infinite-length limit and highlighting the system's intrinsic self-duality and critical behavior.
This paper proves that the fast mode dynamics in quantum operator evolution exhibit emergent random matrix universality within the Krylov space recursion method, leading to universal Green's function scaling forms in both chaotic and non-chaotic systems and enabling a new spectral bootstrap technique for approximating spectral functions.
This paper presents a mean-field study of the finite-temperature phase diagram of the disordered Extended Bose-Hubbard model, revealing how thermal fluctuations compete with quantum effects to melt Mott insulator and charge-density-wave phases into normal fluids or Bose glasses, with disorder further suppressing the stability of these insulating states.