HEOM-in-Calibration-Loop: Exposing Non-Markovian Bath Signatures That Markovian Calibration Elides in Superconducting-Qubit Tune-Up

• URL: http://arxiv.org/abs/2604.21458v1
• Date: Thu, 23 Apr 2026 09:15:13 GMT
• Title: HEOM-in-Calibration-Loop: Exposing Non-Markovian Bath Signatures That Markovian Calibration Elides in Superconducting-Qubit Tune-Up
• Abstract summary: We integrate a QuTiP 5.x hierarchical-equations-of-motion solver driven by a Tier-1/f Burkard bath into a multi-protocol calibration DAG.<n>We benchmark it against sesolve and mesolve on a frozen platform in a pulse-level simulator.
• Score: 2.3774562616857717
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Closed-loop superconducting-qubit calibration has matured into DAG-orchestrated protocol chains, yet published frameworks treat the bath via a Markovian master equation or a phenomenological likelihood, absorbing bath structure into fit residuals instead of reporting it as a diagnostic. We integrate a QuTiP 5.x hierarchical-equations-of-motion (HEOM) solver driven by a Tier-1 1/f Burkard bath into a multi-protocol calibration DAG (Rabi -> {Ramsey || T1}) and benchmark it against sesolve and mesolve on a frozen platform in a pulse-level simulator (no hardware validation). The Ramsey channel carries the headline: the Markovian fit is censored by its exponential-family numerical ceiling, while HEOM recovers a physical revival envelope whose primary T2* separates from the Markovian reference by at least 13x at 95% independent-bootstrap confidence within the HEOM-feasible budget; the point-estimate ratio reaches >=28x on the 50-point primary-t1 grid and ~72x on the 30-point biexp-family tau_aw pivot at L=5. Rabi contrast falls 2.17% below mesolve on a noise-limited 30-point grid; the paired-bootstrap CI crosses zero, so this channel corroborates rather than independently establishes the non-Markovian signature. T1 decay shape matches across backends (beta=1.000), yet HEOM's initial occupation drops from 1.000 to 0.879 -- a bath-dressed contamination stable under a 16-point densification. The DAG adds 9.62 us average per-protocol scheduling overhead, no meaningful latency penalty at protocol granularity. HEOM-in-loop thereby changes what calibration reports: bath structure appears as a quantifiable residual rather than a hidden confound.

Related papers

• Can You Trust Frozen Hematology Foundation Models under Acquisition Shift? [0.0]
  We audit 15 frozen encoders across four public single-cell acquisition domains.<n>In-domain linear-probe macro-F1 is saturated (0.98-0.997), yet cross-dataset macro-F1 drops 34-72%.<n>DinoBloom-L, the in-domain best, falls to 10th of 15 on the most-shifted target (MLL23), behind RedDino and several general and pathology encoders.
  arXiv  Detail & Related papers  (2026-08-25T20:55:57Z)
• A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction [28.58502100288247]
  We propose a hybrid Transformer framework to estimate diastolic and systolic BP from ECG/III feature sequences.<n>Rather than raw waveforms, the framework models 10-step sequences of physiological descriptors and two demographic cos.
  arXiv  Detail & Related papers  (2026-08-24T14:02:10Z)
• Caliber: Cross-Architecture Extraction-Cost Control for Score-Returning APIs [27.21644231867863]
  Caliber is a defense against model extraction that formulates noise selection as a calibration problem.<n>To defend against an attacker that uses returned scores for knowledge distillation, Caliber adds independent and identically distributed Gaussian noise to the internal logits.<n>Caliber normalizes noise variance by the squared median top-two logit margin and fits the resulting noise-utility relationship with a logistic curve.
  arXiv  Detail & Related papers  (2026-08-02T05:58:00Z)
• Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance [0.6768558752130311]
  We analyze Diffusion-free guidance (CFG) through an integrator-analysis lens.<n>We show that guidance re-stiffens exactly the discriminative subspace to an anomalous 1+w.<n> DDIM is no longer fitted there, and on coarse meshes its guided residual diverges as sigma_min goes zero.
  arXiv  Detail & Related papers  (2026-07-08T17:21:51Z)
• Kolmogorov Regression for Robust Diffusion Policies [0.0]
  Finite-dimensional (FD) diffusion policies exhibit temporal drift owing to discretization artifacts.<n>We introduce a backward Kolmogorov equation that lifts diffusion policies to a Cameron-Martin space.<n>We certify the dispatch policies with Hamilton-Jacobi reachability theory which reduces deadlock events by 96%.
  arXiv  Detail & Related papers  (2026-06-16T17:18:54Z)
• Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity [43.23157850664282]
  We introduce VOIR DIRE, a multimodal benchmark of 626 culturally paired image-prompt artifacts spanning U.S. and mainland Chinese contexts.<n>Across six MLLMs, the bias decomposes into two failures: a positivity-floor calibration failure and an orientation failure.<n>We recommend reporting alignment against each reference pool separately and treating cross-pool divergence as a judge property.
  arXiv  Detail & Related papers  (2026-06-12T15:53:40Z)
• SC3: The Multi-Solvent Solubility Challenge and Benchmark [11.51982791748735]
  We introduce SC3, a multi-solvent solubility benchmark built on BigSolDB v2.1 with three contributions.<n>We observe this is a gap unclosed by any deep alternative tested.<n>We perform three follow-on analyses: data scaling, transfer from quantum-chemistry solvation energies, and feature-level attribution.
  arXiv  Detail & Related papers  (2026-06-03T08:57:00Z)
• From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks [41.99844472131922]
  We provide a benchmark calibration for foundation-model weak labels.<n>The crossover predicted by theory appears at ng100 on PCAM, 20-50 on ISIC, and 250-500 on NIH-CXR.<n>A structured-vs-random noise sign flip on NIH-CXR shows that the rate-only formulation of the bound is incomplete.
  arXiv  Detail & Related papers  (2026-05-23T23:15:07Z)
• Auxiliary Finite-Difference Residual-Gradient Regularization for PINNs [0.0]
  We study a hybrid design in which the governing PDE residual remains automatic-differentiation based, while finite differences appear only in a weak auxiliary term.<n>The FD term regularizes the residual field without replacing the PDE residual itself.<n>Across seeds 0-5 and 100k epochs, the most reliable tested configuration is a fixed shell weight of 5e-4 under the Kourkoutas-beta regime.
  arXiv  Detail & Related papers  (2026-04-15T23:09:19Z)
• LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment [19.317475241300397]
  We introduce LatentAudit, a white-box auditor that pools mid-to-late residual-stream activations from an open-weight generator.<n>We show that residual-stream geometry carries a usable faithfulness signal, that this signal survives architecture changes, and that the same rule remains amenable to public verification.
  arXiv  Detail & Related papers  (2026-04-07T02:55:32Z)
• Robust Regression with Adaptive Contamination in Response: Optimal Rates and Computational Barriers [65.58071581164043]
  We study robust regression under a contamination model in which covariates are clean while the responses may be corrupted in an adaptive manner.<n>We show that the additional information can be carefully exploited to construct an estimator that a better estimation rate than achieves that attainable under Huber contamination.<n>Despite the improvement over the Huber model from an information-theoretic perspective, we provide formal evidence that the problem exhibits strong information-computation gaps.
  arXiv  Detail & Related papers  (2026-04-05T19:07:24Z)
• PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI [1.3063136334195184]
  This work introduces, a differentiable analysis-by-synthesis framework that fits an explicit multi-compartment forward model end-to-end cerebrospinal model.<n> PRISM supports fast MSE objective and a Rician negative log-ze-likelihood (NLL) that jointly learns without information.<n> PRISM achieves 3.5 degrees best-match angular error with 95% recall is 1.9x lower than best baseline.
  arXiv  Detail & Related papers  (2026-03-31T21:22:49Z)
• BadCLIP++: Stealthy and Persistent Backdoors in Multimodal Contrastive Learning [73.46118996284888]
  Research on backdoor attacks against multimodal contrastive learning models faces two key challenges: stealthiness and persistence.<n>We propose BadCLIP++, a unified framework that tackles both challenges.<n>For stealthiness, we introduce a semantic-fusion QR micro-trigger that embeds imperceptible patterns near task-relevant regions.<n>For persistence, we stabilize trigger embeddings via radius shrinkage and centroid alignment.
  arXiv  Detail & Related papers  (2026-02-19T08:31:16Z)
• Benchmarking IoT Time-Series AD with Event-Level Augmentations [34.864214444544565]
  We introduce an evaluation protocol with unified event-level augmentations that simulate real-world issues.<n>We evaluate 14 representative models on five public anomaly datasets.
  arXiv  Detail & Related papers  (2026-02-17T09:45:44Z)
• Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol [69.11739400975445]
  We introduce the first theoretical framework for analyzing error accumulation in Model Context Protocol (MCP) agents.<n>We show that cumulative distortion exhibits linear growth and high-probability deviations bounded by $O(sqrtT)$.<n>Key findings include: semantic weighting reduces distortion by 80%, and periodic re-grounding approximately every 9 steps suffices for error control.
  arXiv  Detail & Related papers  (2026-02-10T21:08:53Z)
• Generalizing GNNs with Tokenized Mixture of Experts [75.8310720413187]
  We show that improving stability requires reducing reliance on shift-sensitive features, leaving an irreducible worst-case generalization floor.<n>We propose STEM-GNN, a pretrain-then-finetune framework with a mixture-of-experts encoder for diverse computation paths.<n>Across nine node, link, and graph benchmarks, STEM-GNN achieves a stronger three-way balance, improving robustness to degree/homophily shifts and to feature/edge corruptions while remaining competitive on clean graphs.
  arXiv  Detail & Related papers  (2026-02-09T22:48:30Z)
• Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference [54.467557491325046]
  We propose Pre-hoc Sparsity (PrHS), which selects KV entries before attention scoring and provides explicit accuracy control.<n>PrHS reduces retrieval overhead by over 90%, achieving 3x higher retrieval sparsity than HShare at matched or better accuracy.<n>It incurs under 1% average degradation on LongBench, lowers attention FLOPs by about 15% versus prior baselines, and yields a 9.9x speedup in attention-operator latency and 2.8x higher throughput.
  arXiv  Detail & Related papers  (2026-02-09T07:05:23Z)
• Edge-aware baselines for ogbn-proteins in PyTorch Geometric: species-wise normalization, post-hoc calibration, and cost-accuracy trade-offs [45.88028371034407]
  We present reproducible, edge-aware baselines for ogbn-proteins in PyTorch Geometric.<n>Our strongest baseline is GraphSAGE with sum-based edge-to-node features.<n>Post-hoc per-label temperature scaling plus per-label thresholds substantially improves micro-F1 and expected calibration error (ECE) with negligible AUC change.
  arXiv  Detail & Related papers  (2025-11-17T11:09:46Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.