A no-signalling-based lifting of commitment techniques yields the first single-shot loss-tolerant QPV protocol with exponential security decay in the commitment threshold k and 3.7% noise robustness.
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Physical Review A33(5), 2913–2927 (1986)
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Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
W-state graphs are precisely the matching-covered graphs with specific half-edge colorings whose 3-connected components are W-cones, enabling efficient recognition and ruling out simple graphs.
Experimental observation of OAM non-conservation in Type-I SPDC attributed to spatial walk-off, demonstrated with a sensitive two-photon OAM detector and approximation-free theory.
Presents an optimized segmented surface Paul trap design achieving 5 kHz motional coupling between an antimatter H2- ion and a Be+ ion at 35 μm separation using 4 MHz axial frequencies and ~20 V static voltages.
Direct differentiation of the local energy at fixed samples yields an unbiased low-variance estimator for the variational Monte Carlo phase force in complex neural quantum states, with an adaptive mixture extending it to coupled networks and improving results on flux ladders, chiral chains, and frac
SAFE ma-QAOA achieves 64.3% fewer active parameters and 94.5% lower estimated QPU workload via surrogate pre-training and parameter distillation on Sherrington-Kirkpatrick, 2D spin glass, and Max-Cut instances.
Endpoint Kirkwood-Dirac or Margenau-Hill quasistatistics of work retain sensitivity to initial coherence under imperfect shortcuts, exposing linear signatures of control errors where population probabilities show only quadratic changes.
A randomized linear-time phase-folding algorithm using constant-width bitstring abstraction optimizes T-count in quantum circuits orders of magnitude faster than prior tools while achieving comparable reductions.
Geometric curvature of a metric-induced connection and non-trivial holonomies around non-contractible loops obstruct global Hermitianization of quasi-Hermitian quantum systems.
A structure-aware transformer trained on 3-14 qubit systems predicts Trotter orderings for 16-20 qubit 1D Heisenberg Hamiltonians with a mean fidelity gap of 0.00115 to the best of 24 candidates.
QuIC provides a training-free quantum graph embedding proven permutation-invariant and injective for labeled graphs under an irrational-angle condition in the ideal case, with empirical separation shown on noisy hardware for hard graph families including CFI instances.
PEAC extracts parameters from amplitude collapse in correlated matter-wave interferometers, yielding lower bias than conventional methods for perfectly correlated signals.
Steep expulsive potentials in 1D and 2D Schrödinger equations support continuous spectra of normalizable bound states, including even/odd states in 1D and vortex states in 2D.
Matching bounds for zero-error list decoding of pure-state CQ channels coincide under PSD overlap matrices, but the sphere-packing rate may not be achievable even for arbitrarily large fixed list sizes.
Coupled dissipative time crystals show chaotic synchronization with positive Lyapunov exponents and high Pearson correlations in the classical limit, plus analogous staggered-to-uniform crossovers and GUE statistics in quantum trajectories.
Co-optimization of flexible Iceberg error-detection gadgets with QAOA via tree search improves success probability and post-selection on Quantinuum H2-1 hardware up to 34 algorithmic qubits.
A virtual protocol based on universal source compression enables asymptotically tight finite-size security proofs for permutation-symmetrizable QKD by reducing the problem to conditional Rényi entropy estimation.
The weakly dissipative 1D Fermi gas exhibits algebraic density decay for annihilation and coagulation reactions and a mean-field directed percolation absorbing-state phase transition, extending previous lattice results to continuous space.
In the trapped unitary Fermi gas an odd particle number produces an edge-localized quasiparticle whose energy contribution scales as Q to the power 1/9.
Introduces Λ-lr-QAOA and piecewise-ramp QAOA that promote penalty schedules to variational parameters and use a feasibility-driven loss on budget-constrained MWIS satellite planning instances.
A design framework that converts an eight-to-three CCZ distillation protocol into a joint-measurement surface-code layout using smaller patches, claimed to cut spatial cost versus Gidney-Fowler while preserving leading-order error suppression and single-fault detection.
Adversarially encoded measurement deviations as small as 0.23% can produce false certification of high-dimensional entanglement in provably separable systems, demonstrated experimentally with classical photonic states up to 61 dimensions.
First demonstration of stable bidirectional microwave-optical transduction in thin-film lithium tantalate with ~1 kHz coupling rates, multi-day static-bias operation, and low added noise.
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A self-referenced LLO CVQKD system with passive state preparation achieves 10.34 Mbps asymptotic secret key rate over 23.5 dB loss free-space channel with low excess noise and turbulence robustness.
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Operational criterion for Wigner function negativity
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Loss-aware state space geometry for quantum variational algorithms
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DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
DeepQuantum is a PyTorch platform that unifies quantum circuits, photonic quantum circuits, and measurement-based quantum computing in one open-source framework for hybrid models and variational algorithms.
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Tolerating Device Failure in Distributed Quantum Computing
Distributed toric and hyperbolic Floquet codes maintain logical error suppression when entire nodes fail at low rates, with the toric code outperforming a monolithic device below 0.05% physical error rate for node failure probability p/100.
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Physics-Informed Neural Networks for Maximizing Quantum Fisher Information in Time-Dependent Many-Body Systems
PINNs combined with Magnus expansion learn scheduling functions and adiabatic gauge potentials that yield higher normalized QFI than Euler-Lagrange baselines in nearest-neighbor, dipolar, and trapped-ion spin models up to six qubits.
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Arqon: A suite of control applications enabling a reliable quantum network
Arqon delivers reliable quantum network service via admission control and scheduling that satisfies defined reliability requirements for accepted demands in static topologies, with O(k^3) and O(N^3) complexity.
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Charging Quantum Batteries via Dissipative Quenches
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Characterizing quantum correlations and quantum teleportation in $gg \to t\bar{t}$ and $q\bar{q} \to t\bar{t}$ processes under noisy channels
Quantum teleportation using noisy top-quark pairs stays above the classical fidelity threshold of 2/3.
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Entanglement is Half the Story: Post-Selection vs. Partial Traces
A hybrid tensor network framework interpolates between classical and quantum models via controllable post-selection, with a trainable hyperparameter that complements bond dimension to enhance quantum machine learning.
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Quantum average correlation based on average coherence
A new average correlation for bipartite quantum systems is defined as the difference between global and local skew information; it satisfies non-negativity, contractivity under local channels, and local unitary invariance, with equivalence proven between MUB and Haar-measure definitions plus a wave-
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A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks
QCNN, QRNN, and QViT perform well on low-feature data but degrade on high-feature datasets, with QViT most robust to quantum noise and classical-style models better against adversarial noise.
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Quantum Protocols for Time Synchronisation and Distribution: A Critical Assessment
Quantum time synchronization protocols do not provide a near-term replacement for classical methods in most applications because time transfer precision remains the limiting factor, though they add value for physical-layer security.
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Quantum Complexity and New Directions in Nuclear Physics and High-Energy Physics Phenomenology
A review of how quantum information science is expected to provide new tools and insights for nuclear and high-energy physics phenomenology and quantum simulations.
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Fundamentals and Applications of Hybrid Electro- and Opto-mechanical system coupled to Superconducting Qubit: A Short Review
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Over forty years of research towards the understanding of Quantum Brownian Motion -- the contributions of A. O. Caldeira
The paper summarizes A. O. Caldeira's foundational work on quantum Brownian motion, including dissipation in tunneling, alternative models, and links to decoherence and quantum thermodynamics.
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