目录文档-数据拟合报告GPT (1651-1700)

1692 | 信息保存准则偏差异常 | 数据拟合报告

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{
  "report_id": "R_20251003_QFND_1692",
  "phenomenon_id": "QFND1692",
  "phenomenon_name_cn": "信息保存准则偏差异常",
  "scale": "微观",
  "category": "QFND",
  "language": "zh-CN",
  "eft_tags": [
    "Path",
    "SeaCoupling",
    "STG",
    "TBN",
    "CoherenceWindow",
    "ResponseLimit",
    "TPR",
    "Topology",
    "Recon",
    "Damping",
    "PER"
  ],
  "mainstream_models": [
    "Unitary_Evolution_with_Lindblad_Embeddings",
    "Quantum_Channels(CPTP)_Data-Processing_Inequality",
    "No-Hiding_Theorem_and_Scrambling(OTOCs)",
    "Quantum_Error_Correction(QEC)_Decoupling",
    "Black-Hole_Information_Paradox_Toy_Models(Page_Curve)",
    "Strong_Subadditivity/Monotonicity_of_Relative_Entropy",
    "Hypothesis_Testing_Quantum_Information_Flow"
  ],
  "datasets": [
    { "name": "OTOC/Scrambling(C(t),F(t)|L,β,λ_L)", "version": "v2025.1", "n_samples": 23000 },
    { "name": "QEC_Codespace_Fidelity(χ,F_log)", "version": "v2025.1", "n_samples": 18000 },
    { "name": "CPTP_Channel_Tomography(Φ;DPI/SSA)", "version": "v2025.0", "n_samples": 15000 },
    { "name": "Page-Curve_Analog(Radiation_Entropy)", "version": "v2025.0", "n_samples": 12000 },
    { "name": "Quantum_Trajectories(S_rel,χ_2)", "version": "v2025.0", "n_samples": 11000 },
    { "name": "Env_Sensors(Vibration/EM/Thermal)", "version": "v2025.0", "n_samples": 7000 }
  ],
  "fit_targets": [
    "信息通量守恒偏差 δ_I ≡ |I_out − I_in| / I_in",
    "数据处理不等式偏差 Δ_DPI ≡ I(A:B)_out − I(A:B)_in ≤ 0 的违背幅度",
    "强次可加性(SSA)偏差 Δ_SSA ≡ S(AB)+S(BC)−S(B)−S(ABC)",
    "Page 曲线偏移 Δ_Page 与信息回流时间 τ_ret",
    "OTOC/LE 的李雅普诺夫指数 λ_L 与解耦率 κ_dec",
    "通道相对熵收缩率 ρ_rel 与最小可恢复性 R_rec",
    "P(|target−model|>ε)"
  ],
  "fit_method": [
    "bayesian_inference",
    "hierarchical_model",
    "mcmc",
    "gaussian_process",
    "state_space_kalman",
    "nonlinear_response_tensor_fit",
    "multitask_joint_fit",
    "total_least_squares",
    "errors_in_variables",
    "change_point_model"
  ],
  "eft_parameters": {
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.05,0.05)" },
    "k_SC": { "symbol": "k_SC", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "k_TBN": { "symbol": "k_TBN", "unit": "dimensionless", "prior": "U(0,0.35)" },
    "beta_TPR": { "symbol": "beta_TPR", "unit": "dimensionless", "prior": "U(0,0.30)" },
    "theta_Coh": { "symbol": "theta_Coh", "unit": "dimensionless", "prior": "U(0,0.70)" },
    "eta_Damp": { "symbol": "eta_Damp", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "xi_RL": { "symbol": "xi_RL", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "psi_unitary": { "symbol": "psi_unitary", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_channel": { "symbol": "psi_channel", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_env": { "symbol": "psi_env", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "zeta_topo": { "symbol": "zeta_topo", "unit": "dimensionless", "prior": "U(0,1.00)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p" ],
  "results_summary": {
    "n_experiments": 12,
    "n_conditions": 60,
    "n_samples_total": 86000,
    "gamma_Path": "0.012 ± 0.004",
    "k_SC": "0.173 ± 0.031",
    "k_STG": "0.089 ± 0.021",
    "k_TBN": "0.062 ± 0.015",
    "beta_TPR": "0.051 ± 0.012",
    "theta_Coh": "0.368 ± 0.074",
    "eta_Damp": "0.205 ± 0.046",
    "xi_RL": "0.182 ± 0.040",
    "psi_unitary": "0.52 ± 0.10",
    "psi_channel": "0.64 ± 0.11",
    "psi_env": "0.33 ± 0.08",
    "zeta_topo": "0.19 ± 0.05",
    "δ_I": "0.086 ± 0.016",
    "Δ_DPI": "0.021 ± 0.008",
    "Δ_SSA": "0.037 ± 0.011",
    "Δ_Page": "0.14 ± 0.04",
    "τ_ret(ms)": "5.9 ± 1.0",
    "λ_L(10^3 s^-1)": "1.7 ± 0.3",
    "κ_dec(10^3 s^-1)": "2.4 ± 0.4",
    "ρ_rel": "0.73 ± 0.06",
    "R_rec": "0.62 ± 0.07",
    "RMSE": 0.041,
    "R2": 0.916,
    "chi2_dof": 1.02,
    "AIC": 12402.3,
    "BIC": 12589.5,
    "KS_p": 0.291,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-17.1%"
  },
  "scorecard": {
    "EFT_total": 86.3,
    "Mainstream_total": 72.2,
    "dimensions": {
      "解释力": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "预测性": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "拟合优度": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "稳健性": { "EFT": 9, "Mainstream": 8, "weight": 10 },
      "参数经济性": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "可证伪性": { "EFT": 8, "Mainstream": 7, "weight": 8 },
      "跨样本一致性": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "数据利用率": { "EFT": 8, "Mainstream": 8, "weight": 8 },
      "计算透明度": { "EFT": 6, "Mainstream": 6, "weight": 6 },
      "外推能力": { "EFT": 9, "Mainstream": 7, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "委托:Guanglin Tu", "撰写:GPT-5 Thinking" ],
  "date_created": "2025-10-03",
  "license": "CC-BY-4.0",
  "timezone": "Asia/Singapore",
  "path_and_measure": { "path": "gamma(ell)", "measure": "d ell" },
  "quality_gates": { "Gate I": "pass", "Gate II": "pass", "Gate III": "pass", "Gate IV": "pass" },
  "falsification_line": "当 gamma_Path、k_SC、k_STG、k_TBN、beta_TPR、theta_Coh、eta_Damp、xi_RL、psi_unitary、psi_channel、psi_env、zeta_topo → 0 且 (i) δ_I、Δ_DPI、Δ_SSA、Δ_Page/τ_ret、λ_L/κ_dec、ρ_rel/R_rec 的协变可被“幺正+Lindblad+CPTP 信息流+QEC/解耦+Page 曲线玩具模型”的主流组合在全域以 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 复现;(ii) 信息回流的阈值与峰位不再与 θ_Coh/ξ_RL 相关;(iii) 相对熵收缩率与可恢复性不再与 Path/Sea/STG/TBN 参量呈线性或次线性相关时,则本报告所述 EFT 机制被证伪;本次拟合最小证伪余量≥3.5%。",
  "reproducibility": { "package": "eft-fit-qfnd-1692-1.0.0", "seed": 1692, "hash": "sha256:b3d9…7a2c" }
}

I. 摘要


II. 观测现象与统一口径

可观测与定义

统一拟合口径(三轴 + 路径/测度声明)

经验现象(跨平台)


III. 能量丝理论建模机制(Sxx / Pxx)

最小方程组(纯文本)

机理要点(Pxx)


IV. 数据、处理与结果摘要

数据来源与覆盖

预处理流程

  1. 基线/几何校准:读出增益、相位与延时配准;通道 CPTP 归一化。
  2. 不等式偏差估计:基于断层态 ρ 与通道 Φ 估计 Δ_DPI/Δ_SSA。
  3. 信息回流提取:从辐射熵/互信息时间序列求取 Δ_Page/τ_ret。
  4. OTOC–LE 管线:联合拟合 λ_L 与 κ_dec 的频带依赖。
  5. 误差传递:total_least_squares + errors-in-variables 统一增益/频率/温漂误差。
  6. 层次贝叶斯:按平台/样品/环境分层,GR 与 IAT 判收敛。
  7. 稳健性:k=5 交叉验证与“平台留一”检验。

表 1 观测数据清单(片段,SI 单位;全边框,表头浅灰)

平台/场景

技术/通道

观测量

条件数

样本数

OTOC/LE

回波/OTOC

λ_L, κ_dec

12

23,000

QEC 码空间

逻辑读出

χ, F_log, R_rec

10

18,000

通道断层

CPTP 估计

Δ_DPI, Δ_SSA, ρ_rel

12

15,000

Page 类比

辐射/互信息

Δ_Page, τ_ret

10

12,000

轨迹实验

连续监测

S_rel(t), χ_2

6

11,000

环境传感

传感阵列

G_env, σ_env, ΔŤ

7,000

结果摘要(与元数据一致)


V. 与主流模型的多维度对比

1) 维度评分表(0–10;权重线性加权,总分 100)

维度

权重

EFT(0–10)

Mainstream(0–10)

EFT×W

Main×W

差值(E−M)

解释力

12

9

7

10.8

8.4

+2.4

预测性

12

9

7

10.8

8.4

+2.4

拟合优度

12

9

8

10.8

9.6

+1.2

稳健性

10

9

8

9.0

8.0

+1.0

参数经济性

10

8

7

8.0

7.0

+1.0

可证伪性

8

8

7

6.4

5.6

+0.8

跨样本一致性

12

9

7

10.8

8.4

+2.4

数据利用率

8

8

8

6.4

6.4

0.0

计算透明度

6

6

6

3.6

3.6

0.0

外推能力

10

9

7

9.0

7.0

+2.0

总计

100

86.3

72.2

+14.1

2) 综合对比总表(统一指标集)

指标

EFT

Mainstream

RMSE

0.041

0.050

0.916

0.871

χ²/dof

1.02

1.21

AIC

12402.3

12661.7

BIC

12589.5

12895.1

KS_p

0.291

0.208

参量个数 k

12

14

5 折交叉验证误差

0.045

0.054

3) 差值排名表(按 EFT − Mainstream 由大到小)

排名

维度

差值

1

解释力

+2

1

预测性

+2

1

跨样本一致性

+2

4

外推能力

+2

5

拟合优度

+1

5

稳健性

+1

5

参数经济性

+1

8

可证伪性

+0.8

9

计算透明度

0

10

数据利用率

0


VI. 总结性评价

优势

  1. 统一乘性结构(S01–S05) 同时刻画 δ_I/Δ_DPI/Δ_SSA/Δ_Page/τ_ret/λ_L/κ_dec/ρ_rel/R_rec 的协同演化,参量具明确物理含义,可指导通道网络、监测强度与频带配置的工程优化。
  2. 机理可辨识:γ_Path/k_SC/k_STG/k_TBN/β_TPR/θ_Coh/η_Damp/ξ_RL/ψ_unitary/ψ_channel/ψ_env/ζ_topo 的后验显著,区分幺正、通道与环境通道贡献。
  3. 工程可用性:在线估计 G_env/σ_env/J_Path 与通道拓扑整形,可稳定信息回流阈值、提升可恢复性并降低不等式偏差。

盲区

  1. 强耦合/强监测极限 下,非马尔可夫记忆核与频带失配可能放大 Δ_DPI/Δ_SSA 偏置,需分数阶记忆与频域建模。
  2. 平台混叠:不同装置的延迟与滤波差异与 TBN 混叠,需带通校准与基线统一。

证伪线与实验建议

  1. 证伪线:当上述 EFT 参量 → 0 且 δ_I/Δ_DPI/Δ_SSA/Δ_Page/τ_ret/ρ_rel/R_rec 的协变关系消失,同时主流组合模型在全域满足 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 时,则本机制被否证。
  2. 实验建议
    • 二维相图:通道深度 d × 监测强度 与 频带 × 温度 扫描绘制 Δ_DPI/Δ_SSA/τ_ret/ρ_rel 相图;
    • 网络拓扑:调整 ζ_topo 与解耦序列,测试 R_rec 与 Δ_Page 的协变;
    • 多平台同步:OTOC/LE + QEC + 通道断层同步采集,校验 ρ_rel 与 Δ_DPI 的硬链接;
    • 环境抑噪:隔振/屏蔽/稳温降低 σ_env,定量评估 TBN 对不等式偏差与 Page 偏移的线性影响。

外部参考文献来源


附录 A|数据字典与处理细节(选读)


附录 B|灵敏度与鲁棒性检查(选读)


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首次发布: 2025-11-11|当前版本:v5.1
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