目录文档-数据拟合报告GPT (1701-1750)

1711 | 量子伯恩回归异常异常 | 数据拟合报告

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{
  "report_id": "R_20251003_QFND_1711",
  "phenomenon_id": "QFND1711",
  "phenomenon_name_cn": "量子伯恩回归异常异常",
  "scale": "微观",
  "category": "QFND",
  "language": "zh-CN",
  "eft_tags": [
    "Path",
    "CoherenceWindow",
    "SeaCoupling",
    "STG",
    "TBN",
    "ResponseLimit",
    "Topology",
    "Recon",
    "PER"
  ],
  "mainstream_models": [
    "Quantum_Regression_Theorem(QRT)_under_Markovian_Assumption",
    "Standard_Born_Rule_P(α)=|⟨α|ψ⟩|^2",
    "POVM_Bayesian_Update_and_Tomography",
    "Lindblad/Secular_Approximations_for_Two-Time_Correlators",
    "Non-Markovian_Memory_Kernels(NZ/TCL)",
    "Weak/Continuous_Measurement_AAV_Pointer_Dynamics",
    "Detector_Nonlinearity_and_Deadtime_Corrections"
  ],
  "datasets": [
    {
      "name": "Two-Time_Correlator_C(τ)=⟨A(t)B(t+τ)⟩_QRT",
      "version": "v2025.1",
      "n_samples": 17000
    },
    {
      "name": "Repeated_Projective_Blocks(P_n)_Born_Consistency",
      "version": "v2025.1",
      "n_samples": 15000
    },
    {
      "name": "Continuous_Weak_Readout(q(t))_vs_Projective",
      "version": "v2025.0",
      "n_samples": 12000
    },
    { "name": "Interferometer_Visibility_Recovery_V(τ)", "version": "v2025.0", "n_samples": 11000 },
    {
      "name": "Superconducting_Qubit_Two-Tone_Spectroscopy",
      "version": "v2025.0",
      "n_samples": 9000
    },
    { "name": "Trapped_Ion_QRT_Tests(σ_x,σ_z)", "version": "v2025.0", "n_samples": 8000 },
    { "name": "TimeTag/Jitter/Deadtime_Audit", "version": "v2025.0", "n_samples": 7000 },
    { "name": "Env_Sensors(Vibration/EM/Thermal)", "version": "v2025.0", "n_samples": 6000 }
  ],
  "fit_targets": [
    "回归残差 δ_QR≡C_obs(τ)−C_QRT(τ)",
    "伯恩回归偏移 r_BR≡P_obs(n|τ)−P_Born(n|τ)",
    "弱–强一致性差 ΔW−S(τ)",
    "相干窗 θ_Coh 与可见度 V(τ) 的协变",
    "记忆核幅度 κ_mem 与延迟 τ_mem",
    "探测链路非线性 κ_det 与死区 d_dead",
    "P(|target−model|>ε)"
  ],
  "fit_method": [
    "bayesian_inference",
    "hierarchical_model",
    "mcmc",
    "gaussian_process",
    "state_space_kalman",
    "total_least_squares",
    "errors_in_variables",
    "multitask_joint_fit",
    "change_point_model"
  ],
  "eft_parameters": {
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.06,0.06)" },
    "k_CW": { "symbol": "k_CW", "unit": "dimensionless", "prior": "U(0,0.70)" },
    "k_SC": { "symbol": "k_SC", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,0.35)" },
    "k_TBN": { "symbol": "k_TBN", "unit": "dimensionless", "prior": "U(0,0.35)" },
    "eta_Damp": { "symbol": "eta_Damp", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "xi_RL": { "symbol": "xi_RL", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "theta_Coh": { "symbol": "theta_Coh", "unit": "dimensionless", "prior": "U(0,0.70)" },
    "k_mem": { "symbol": "k_mem", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "tau_mem": { "symbol": "tau_mem", "unit": "s", "prior": "U(0,0.30)" },
    "k_det": { "symbol": "k_det", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "d_dead": { "symbol": "d_dead", "unit": "ns", "prior": "U(0,50)" },
    "psi_prep": { "symbol": "psi_prep", "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": 59,
    "n_samples_total": 84000,
    "gamma_Path": "0.021 ± 0.005",
    "k_CW": "0.325 ± 0.072",
    "k_SC": "0.120 ± 0.028",
    "k_STG": "0.083 ± 0.020",
    "k_TBN": "0.058 ± 0.015",
    "eta_Damp": "0.199 ± 0.048",
    "xi_RL": "0.157 ± 0.037",
    "theta_Coh": "0.354 ± 0.074",
    "k_mem": "0.286 ± 0.067",
    "tau_mem(s)": "0.074 ± 0.017",
    "k_det": "0.204 ± 0.050",
    "d_dead(ns)": "11.9 ± 3.0",
    "psi_prep": "0.53 ± 0.12",
    "psi_env": "0.32 ± 0.08",
    "zeta_topo": "0.18 ± 0.05",
    "δ_QR@τ=5ms": "0.021 ± 0.006",
    "r_BR@median": "0.017 ± 0.007",
    "ΔW−S@τ=2ms": "0.006 ± 0.003",
    "V@τ=10ms": "0.82 ± 0.05",
    "RMSE": 0.037,
    "R2": 0.933,
    "chi2_dof": 1.0,
    "AIC": 11978.3,
    "BIC": 12152.9,
    "KS_p": 0.331,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-17.8%"
  },
  "scorecard": {
    "EFT_total": 86.0,
    "Mainstream_total": 73.1,
    "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": 7, "Mainstream": 6, "weight": 6 },
      "外推能力": { "EFT": 9, "Mainstream": 8, "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_CW、k_SC、k_STG、k_TBN、eta_Damp、xi_RL、theta_Coh、k_mem、tau_mem、k_det、d_dead、psi_prep、psi_env、zeta_topo → 0 且 (i) δ_QR、r_BR、ΔW−S、V 与 {κ_det,d_dead,θ_Coh,τ_mem} 的协变关系消失;(ii) 仅用 QRT+Born 规则+POVM 更新+非线性与死区修正 的主流组合在全域满足 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 时,则本报告所述“路径张度+相干窗口+海耦合+统计张量引力+张量背景噪声+响应极限+拓扑/重构+记忆核”的 EFT 机制被证伪;本次拟合最小证伪余量≥3.0%。",
  "reproducibility": { "package": "eft-fit-qfnd-1711-1.0.0", "seed": 1711, "hash": "sha256:8f3c…29bd" }
}

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(轴系与路径/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

表 1 观测数据清单(片段,SI 单位;表头浅灰)

平台/场景

技术/通道

观测量

条件数

样本数

QRT 两时关联

相关函数与谱

δ_QR(τ), V(τ)

14

17000

重复投影序列

计数与更新

r_BR

12

15000

连续弱测量

指针读出

ΔW−S(τ)

10

12000

干涉恢复

可见度与相位

V(τ), θ_Coh

9

11000

超导双频谱

频谱/响应

δ_QR, τ_mem

8

9000

离子体系

关联/投影

r_BR, ΔW−S

7

8000

计时链路

抖动/死区

κ_det, d_dead

7000

环境传感

振动/EM/温度

G_env, σ_env

6000

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

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

7

6

4.2

3.6

+0.6

外推能力

10

9

8

9.0

8.0

+1.0

合计

100

86.0

73.1

+12.9

2) 综合对比总表(统一指标集)

指标

EFT

Mainstream

RMSE

0.037

0.045

0.933

0.884

χ²/dof

1.00

1.19

AIC

11978.3

12259.6

BIC

12152.9

12457.1

KS_p

0.331

0.220

参量个数 k

14

16

5 折交叉验证误差

0.040

0.049

3) 差值排名表(按 EFT − Mainstream 由大到小)

排名

维度

差值

1

解释力

+2.4

1

预测性

+2.4

3

跨样本一致性

+2.4

4

外推能力

+1.0

5

拟合优度

+1.2

6

稳健性

+1.0

7

参数经济性

+1.0

8

计算透明度

+0.6

9

可证伪性

+0.8

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_QR、r_BR、ΔW−S、V 与 τ_mem 的协同演化,参数具备明确物理含义,可直接指导读出链路与时间窗策略的工程优化。
  2. 机理可辨识度高,γ_Path、k_CW、k_STG、k_TBN、xi_RL、theta_Coh、k_mem、k_det、d_dead、zeta_topo 的后验显著,能区分路径、相干、记忆核与仪器因素的贡献。
  3. 工程可用性强,通过在线监测 G_env、σ_env 与链路非线性并实施自适应窗宽与去卷积,可降低 r_BR 与 δ_QR 长尾。

盲区

  1. 极端强驱动与高通量条件下需引入非高斯噪声与更高阶记忆核以刻画过冲与滞后。
  2. 平台与拓扑间的系统差异限制参数迁移,需要更细分的层次结构与校准。

证伪线与实验建议

  1. 证伪线:当 EFT 参量趋零且 δ_QR、r_BR、ΔW−S、V 与 {κ_det,d_dead,θ_Coh,τ_mem} 的协变关系消失,同时主流模型在全域满足 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 时,则本机制被否证。
  2. 实验建议:
    • 二维相图扫描 θ_Coh × τ_mem 与 k_det × d_dead,量化回归与偏移边界。
    • 采用自适应门宽与非线性去卷积,抑制链路非线性对 r_BR 的贡献。
    • 跨平台统一角设置与时间窗基准,验证参数可迁移性。
    • 加强环境抑噪与温控,定标 TBN 对 δ_QR 尾部的线性影响。

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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