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1391 matching published research entries
Quantum Research · 2026-11-05

SPAM-robust learnability of quantum dynamics

arXiv:2611.05561v1 Announce Type: new Abstract: Accurate characterization of quantum dynamics is essential for the calibration and control of quantum devices. Unknown state preparation and measurement (SPAM) errors, however, introduce gauge ambiguities that limit what can be learned.

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Quantum Research · 2026-11-05

Higher-order quantum information inequalities and error-correction of non-Markovian noise

arXiv:2611.05541v1 Announce Type: new Abstract: Defining entropy of a quantum channel has become a challenge with potential candidates recently reported in literature. In this Article, it is taken under consideration the entropy of a quantum channel defined as the quantum entropy of its associated Choi state. The consequences presented here of such approach is two-fold.

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Quantum Research · 2026-11-05

Quantum theory of damping: A new approach to temporal evolution of density operator without the rotating wave approximation

arXiv:2611.05537v1 Announce Type: new Abstract: The Lindblad master equation is the standard framework for describing dissipative dynamics of the open quantum system context. Its conventional derivation, however, relies on the rotating-wave approximation (RWA), which neglects the counter rotating terms in the system-reservoir interaction.

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Quantum Research · 2026-11-05

From Claws to Conferences: Device-Independent Key Agreement Beyond Non-Signaling

arXiv:2611.05509v1 Announce Type: new Abstract: Device-independent conference key agreement (DI-CKA) allows a group of users to establish a common secret key without trusting the internal operation of their quantum devices. Existing DI-CKA protocols derive their security from multipartite Bell tests and therefore require the device components not to communicate during each round.

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Quantum Research · 2026-11-05

Boosted Entanglement Swapping

arXiv:2611.05497v1 Announce Type: new Abstract: Entanglement swapping entangles photons that never interacted directly. When implemented with linear optics, its success probability is upper bounded by $50\%$, due to the limited efficiency of linear-optical Bell-state measurements.

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Quantum Research · 2026-11-05

Krylov meets Fock: Complementary lenses on quantum dynamics

arXiv:2611.05495v1 Announce Type: new Abstract: Quantum dynamics in Krylov space can be represented by a particle hopping on a chain whose sites are the Krylov basis vectors. The goal of this work is to extend this idea to the Fock basis, which in turn allows the description of a generic dynamics in terms of a more general, possibly higher-dimensional lattice.

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Quantum Research · 2026-11-05

Classical training of conditional instantaneous quantum polynomial-time Born machines

arXiv:2611.05483v1 Announce Type: new Abstract: Instantaneous quantum polynomial-time (IQP) Born machines are attractive quantum generative models, as certain IQP circuit families are conjectured to be hard to sample, yet they can be trained classically. Previously proposed conditional IQP Born machines make the parameters of the diagonal layer condition dependent.

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Quantum Research · 2026-11-05

Zero noise extrapolation of transport coefficients

arXiv:2611.05481v1 Announce Type: new Abstract: NISQ devices routinely estimate properties of the noiseless system from measurements at varying noise strengths $\gamma$. These zero-noise extrapolation (ZNE) schemes fail to estimate transport coefficients of conserved quantities when the noise violates the associated conservation laws.

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Quantum Research · 2026-11-05

Noise-Induced Topology in Chiral Quantum Walks

arXiv:2611.05471v1 Announce Type: new Abstract: Noise typically destroys quantum coherence and washes out transport phenomena that rely on interference. Chiral quantum walks are a case in point: a particle hopping on a lattice threaded by a magnetic flux can spread asymmetrically due to interference between paths, an asymmetry that noise is expected to erase.

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Quantum Research · 2026-11-05

Toward a Quantum Information Foundation for Neutron Scattering

arXiv:2611.05466v1 Announce Type: new Abstract: Neutron scattering is a central probe of quantum materials, yet what quantum information can, in principle, be extracted from a scattering experiment remains unclear. Here we formulate neutron scattering as a quantum measurement, with the scattering amplitudes acting as Kraus operators on the material state.

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Quantum Research · 2026-11-05

Spectral measures and sharpness of quantum speed limits

arXiv:2611.05462v1 Announce Type: new Abstract: Quantum speed limits bound the time required for a given state to evolve into a given subspace of the Hilbert space under specific energy constraints. We prove that for several standard orthogonalization time bounds, the unique spectral measure associated with the initial vector that saturates the bound is a sum of two Dirac measures.

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Quantum Research · 2026-11-05

Dynamically modulated light-matter interactions for ancilla-tolerant bosonic control

arXiv:2611.05460v1 Announce Type: new Abstract: Strong light-matter interactions are central to state-of-the-art quantum technologies, spanning platforms as diverse as Rydberg atoms, trapped ions, and superconducting circuits. In superconducting circuits, the strong dispersive coupling between microwave photons (light) and ancillary qubits (matter) has enabled universal bosonic control and quantum error correction.

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Computer Science · 2026-11-05

SPARTA: A Sparse Ternary LLM Accelerator with Adaptive Attention and Unified Datapath for Long-Context Edge Inference

arXiv:2610.34824v2 Announce Type: replace Abstract: LLMs on edge devices are constrained by limited memory and bandwidth. Although 1.58-bit ternary weights greatly reduce model storage, long-context inference is increasingly bottlenecked by KV-cache traffic and attention. Existing accelerators also use separate datapaths for ternary linear layers and attention, incurring hardware and execution overhead.

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Computer Science · 2026-11-05

Who Needs DRAM? We Have Fiber

arXiv:2607.08407v3 Announce Type: replace Abstract: The rising pressure on DRAM availability and contract pricing reflects generative AI's massive high-performance memory requirements. This pressure is heavily compounded by hyperscale data center expansion, which now consumes a significant portion of global DRAM output.

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Computer Science · 2026-11-05

TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout

arXiv:2607.04031v2 Announce Type: replace Abstract: Large Language Model (LLM) inference is bottlenecked by the capacity and bandwidth of GPU High-Bandwidth Memory (HBM). Recent proposals, such as High-Bandwidth Flash (HBF) and RoMe, offer higher capacity or bandwidth than HBM, but require a minimum access granularity of kilobytes.

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Computer Science · 2026-11-05

FPTR: Feasibility-Preserving Transactional Refinement for Deadline-Constrained Joint Beam and Resource Allocation

arXiv:2611.06491v1 Announce Type: cross Abstract: Short-interval wireless schedulers must return a complete, feasible beam-and-resource allocation before each execution deadline, and a late or invalid output gives no utility in the current control cycle. Searching longer can increase transmitted traffic, but it may also miss the deadline or leave only an infeasible intermediate solution.

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Computer Science · 2026-11-05

CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism

arXiv:2611.05906v1 Announce Type: cross Abstract: As sequence lengths continue to grow, distributed attention based on sequence parallel (e.g., Ring-Attention) has become a mainstream solution for large language models (LLMs). Nevertheless, inherent communication dependencies limit computation-communication overlap, reducing GPU utilization.

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