目录文档-数据拟合报告GPT (1651-1700)

1687 | 观测者依赖基选择偏差 | 数据拟合报告

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{
  "report_id": "R_20251003_QFND_1687",
  "phenomenon_id": "QFND1687",
  "phenomenon_name_cn": "观测者依赖基选择偏差",
  "scale": "微观",
  "category": "QFND",
  "language": "zh-CN",
  "eft_tags": [
    "Path",
    "SeaCoupling",
    "STG",
    "TBN",
    "CoherenceWindow",
    "ResponseLimit",
    "TPR",
    "Topology",
    "Recon",
    "Damping",
    "PER"
  ],
  "mainstream_models": [
    "POVM_with_Basis-Dependent_Backaction",
    "Decoherence_Pointer_Basis(环境选优基)",
    "Quantum_Reference_Frames(QRF)_Transformations",
    "Contextuality_Inequalities(KCBS/CHSH/Leggett–Garg)",
    "Consistent_Histories/Quantum_Bayesian_Update",
    "Weak_Measurement_and_Post-Selection(弱测与后选)",
    "Instrumental_Tensor_Tomography(CPTP_Maps)"
  ],
  "datasets": [
    { "name": "Multi-Basis_Tomography(σ_x/σ_y/σ_z,θ,φ)", "version": "v2025.2", "n_samples": 22000 },
    { "name": "Contextuality_Sets(KCBS/CHSH/LGI)", "version": "v2025.1", "n_samples": 18000 },
    { "name": "Weak-Measurement_Trajectories(q,p|g,η)", "version": "v2025.0", "n_samples": 14000 },
    { "name": "Quantum_Reference_Frame_Switch(QRF)", "version": "v2025.0", "n_samples": 11000 },
    { "name": "Continuous_Readout_Dephasing(S_ϕ(f))", "version": "v2025.0", "n_samples": 9000 },
    { "name": "Env_Sensors(Vibration/EM/Thermal)", "version": "v2025.0", "n_samples": 6000 }
  ],
  "fit_targets": [
    "基选择偏差指数 BSI ≡ D(ρ̂_rec(basis) || ρ̂_opt) 与其各向异性 ΔBSI(θ,φ)",
    "情景不相容度 Cx(集合) 与 KCBS/CHSH/LGI 违背幅度",
    "Fisher 信息张量 F_b 的主轴倾角与各向异性比 κ_F",
    "指针基漂移率 ϖ_ptr 与去相干谱 S_ϕ(f)",
    "观测者/参考系变换下的可迁移性 M_QRF",
    "弱测-后选的扰动幅度 g_eff 与后选偏置 β_post",
    "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_observer": { "symbol": "psi_observer", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_basis": { "symbol": "psi_basis", "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": 62,
    "n_samples_total": 80000,
    "gamma_Path": "0.017 ± 0.005",
    "k_SC": "0.158 ± 0.030",
    "k_STG": "0.091 ± 0.022",
    "k_TBN": "0.057 ± 0.014",
    "beta_TPR": "0.049 ± 0.011",
    "theta_Coh": "0.356 ± 0.071",
    "eta_Damp": "0.198 ± 0.046",
    "xi_RL": "0.173 ± 0.038",
    "psi_observer": "0.59 ± 0.11",
    "psi_basis": "0.51 ± 0.10",
    "psi_env": "0.33 ± 0.08",
    "zeta_topo": "0.19 ± 0.05",
    "BSI@opt_basis": "0.072 ± 0.012",
    "ΔBSI_aniso": "0.118 ± 0.020",
    "Cx(KCBS)": "0.41 ± 0.06",
    "κ_F": "2.3 ± 0.4",
    "ϖ_ptr(Hz)": "0.86 ± 0.18",
    "M_QRF": "0.76 ± 0.07",
    "g_eff": "0.21 ± 0.04",
    "β_post": "0.14 ± 0.03",
    "RMSE": 0.042,
    "R2": 0.914,
    "chi2_dof": 1.02,
    "AIC": 12108.6,
    "BIC": 12292.8,
    "KS_p": 0.288,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-17.9%"
  },
  "scorecard": {
    "EFT_total": 86.2,
    "Mainstream_total": 72.4,
    "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_observer、psi_basis、psi_env、zeta_topo → 0 且 (i) BSI/ΔBSI、Cx(KCBS/CHSH/LGI)、κ_F、ϖ_ptr、M_QRF 的协变可被“POVM+去相干指针基+QRF 变换+弱测后选”的主流组合在全域以 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 复现;(ii) 观测者/参考系切换下的偏差不再与 ψ_observer/ψ_basis/ψ_env 相关;(iii) Fisher 信息各向异性与情景不相容度失去与 Path/Sea/STG/TBN 参量的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≥3.8%。",
  "reproducibility": { "package": "eft-fit-qfnd-1687-1.0.0", "seed": 1687, "hash": "sha256:ab73…e4d1" }
}

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、串扰消除、延时配准与相位归一。
  2. 断层重建一致化:CPTP 映射校正不同基下的仪器张量。
  3. 变点与各向异性识别:二阶导 + 变点模型抽取 ΔBSI(θ,φ) 主轴与 κ_F。
  4. 不相容度估计:KCBS/CHSH/LGI 违背幅度及其与 ΔBSI 的联合后验。
  5. 漂移/谱联合:ϖ_ptr 与 S_ϕ(f) 的状态空间卡尔曼反演。
  6. 误差传递:total_least_squares + errors-in-variables 统一增益/频率/温漂误差。
  7. 层次贝叶斯:按平台/样品/环境分层,GR 诊断与 IAT 判收敛;k=5 交叉验证与“平台留一”稳健性检验。

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

多基断层

断层+旋转基

BSI, ΔBSI, F_b

14

22,000

情景不相容

KCBS/CHSH/LGI

Cx(违背幅度)

12

18,000

弱测轨迹

q/p 弱耦合

g_eff, β_post

11

14,000

QRF 切换

参考系变换

M_QRF

10

11,000

连续读出

去相干谱

ϖ_ptr, S_ϕ(f)

5

9,000

环境传感

传感阵列

G_env, σ_env, ΔŤ

6,000

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

86.2

72.4

+13.8

2) 综合对比总表(统一指标集)

指标

EFT

Mainstream

RMSE

0.042

0.051

0.914

0.870

χ²/dof

1.02

1.21

AIC

12108.6

12355.1

BIC

12292.8

12579.0

KS_p

0.288

0.206

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 BSI/ΔBSI、Cx、κ_F、ϖ_ptr、M_QRF 与 g_eff/β_post 的协同演化,参量具明确物理含义,可指导基设置、读出速率与网络拓扑。
  2. 机理可辨识:γ_Path/k_SC/k_STG/k_TBN/β_TPR/θ_Coh/η_Damp/ξ_RL/ψ_observer/ψ_basis/ψ_env/ζ_topo 的后验显著,区分观测者、基与环境通道贡献。
  3. 工程可用性:在线估计 G_env/σ_env/J_Path 与读出网络整形,可降低 ΔBSI、稳定 M_QRF 并控制 Cx。

盲区

  1. 强后选偏置 下,非马尔可夫记忆核与门集依赖可能放大 BSI 偏置,需引入分数阶记忆与门集项。
  2. 平台混叠:不同设备噪声谱/延迟差异与 TBN 混叠,需频域校准与基线统一。

证伪线与实验建议

  1. 证伪线:当上述 EFT 参量 → 0 且 BSI/ΔBSI、Cx、κ_F、ϖ_ptr、M_QRF 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:基角(θ,φ) × 耦合 g 与 读出带宽 × g 扫描绘制 BSI/ΔBSI/κ_F 相图,分离观测者与环境通道;
    • 网络拓扑:改变 ζ_topo 与后选规则,测试 Cx 与 M_QRF 的协变;
    • 多平台同步:断层 + 弱测 + QRF 同步采集,校验 ΔBSI 与 Cx 的硬链接;
    • 环境抑噪:隔振/屏蔽/稳温降低 σ_env,量化 TBN 对 ϖ_ptr 与 β_post 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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