← Cockpit
CMQ_062predictionQuantumquantum-interference

Physicists are successfully demonstrating quantum interference with increasingly larger physical masses — rapid quantum-hardware advancement.

Predictor: Alex Wissner-Gross

Prior probability
75.0%
Current probability
61.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
in_progress
Window
2025-01-01 – 2025-12-31
Edges in / out
4 / 0
Tickers exposed
8

Prediction text

Physicists are successfully demonstrating quantum interference with increasingly larger physical masses — rapid quantum-hardware advancement. | Logical qubit counts + quantum-interference mass scale

Key catalyst: Logical qubit counts + quantum-interference mass scale

Watch events: Macroscopic quantum interference experiments; logical qubit count progression.

Resolution evidence

Status: in_progress

Macroscopic quantum interference experiments (2025-2026) with molecules approaching nanogram scale; IBM / Google / IonQ / Quantinuum all progressing logical-qubit counts.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

7 prob_history rows
0%25%50%75%100%prior 75%2026-04-302026-05-032026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 61.5%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 5 fired ✓ · 3 overdue ⏱
  1. 2024-12-09hitGoogle Willow chip demonstrates below-threshold error correction
    How: Google publishes Willow chip results showing error rate decreasing as code distance increases (below threshold)
    Source: https://www.programming-helper.com/tech/quantum-computing-race-2026-ibm-google-microsoft-breakthroughs-advantageconf 95%
    Notes: HIT — Willow's 105-qubit chip below threshold confirmed.
  2. 2025-05-12overdueQ1 window check-in (25%)
  3. 2025-12-31hitQuantinuum / IBM cross 10+ logical qubits within 2025
    How: Quantinuum or IBM demonstrates >=10 logical qubits encoded with quantum error correction
    Source: https://thequantuminsider.com/2025/05/16/quantum-computing-roadmaps-a-look-at-the-maps-and-predictions-of-major-quantum-players/conf 85%
    Notes: HIT — Quantinuum roadmap targeted 10+ logical qubits in 2025.
  4. 2025-09-20overdueQ2 window check-in (50%)
  5. 2025-10-07hit2025 Nobel Prize in Physics awarded for macroscopic quantum tunneling
    How: Nobel Committee awards Physics Nobel for macroscopic quantum tunneling work
    Source: https://www.spinquanta.com/news-detail/the-science-behind-the-2025-nobel-discovery-macroscopic-quantum-tunnelingconf 95%
    Notes: HIT — 2025 Nobel acknowledged macroscopic quantum tunneling, validating the broader hardware-advancement narrative.
  6. 2025-12-15hitVienna team demonstrates quantum interference at 170,000 amu mass
    How: Peer-reviewed Nature publication of Schrodinger-cat / matter-wave interference for clusters >=100,000 atomic mass units
    Source: https://www.nature.com/articles/s41586-025-09917-9conf 95%
    Notes: HIT — Arndt/Gerlich team in Nature: 8nm metallic clusters, 170,000 amu, macroscopicity μ=15.5 (10x prior record).
  7. 2025-12-15hitMacroscopicity record μ=15.5 published
    How: Reported macroscopicity of quantum-superposition experiment exceeds μ=15 (>=order-of-magnitude over prior best)
    Source: https://physicsworld.com/a/schrodinger-cat-state-sets-new-size-record/conf 95%
    Notes: HIT — μ=15.5 reported, 10x prior best.
  8. 2026-01-29overdueQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 62%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-24T02:00:02Z61.5%+1.3pp
Network propagation: 60.2% → 61.5%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z60.2%+2.6pp
Network propagation: 57.6% → 60.2%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z57.6%+5.4pp
Network propagation: 52.2% → 57.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z52.2%+10.7pp
Network propagation: 41.5% → 52.2%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z41.5%-24.9pp
metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.415 blend=0.415 LLR=-1.026 κ=0.84 no_blend
Raw metadata
{
  "trf": 0,
  "kappa": 0.8438,
  "base_rate": null,
  "predictor": "Alex Wissner-Gross",
  "total_llr": -1.2163953243244932,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.682304814806253,
  "bayes_factor": "2.8:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.6642529139024106,
  "kappa_source": "predictor_table",
  "n_milestones": 3,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8438,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.3421314582216691,
      "expected_date": "2025-05-12",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8438,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.3421314582216691,
      "expected_date": "2025-09-20",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8438,
      "label": "Q3 window check-in (75%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.3421314582216691,
      "expected_date": "2026-01-29",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 1,
  "outside_weight": 0,
  "posterior_prob": 0.41481641737739916,
  "posterior_logit": -0.3440895598587542,
  "predictor_brier": 0.03413,
  "inside_posterior": 0.41481641737739916,
  "blended_posterior": 0.41481641737739916,
  "reference_class_id": null,
  "total_adjusted_llr": -1.0263943746650073,
  "predictor_n_resolved": 11
}
LBP2026-04-30T16:39:51Z66.4%-3.1pp
Network propagation: 69.5% → 66.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z69.5%-5.5pp
Network propagation: 75.0% → 69.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.750-0.110
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.750+0.079
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.750+0.051
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.750+0.030

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

8 ticker(s) linked

Beneficiaries (8)

IONQQUBTRGTITSEMKEYSHONIBMGOOGL

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importMacroscopic quantum interference experiments (2025-2026) with molecules approaching nanogram scale; IBM / Google / IonQ / Quantinuum all progressing logical-qubit counts.

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.661arxivQuantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adaptersmentionspending2026-05-07
0.626arxivMachine Learning Approaches to Building Quantum Circuits for Sets of Matricesmentionspending2026-05-07
0.625arxivCan machine learning for quantum-gas experiments be explainable?mentionspending2026-05-18
0.620arxivQuantum enhanced rare event discovery and samplingmentionspending2026-06-04
0.619arxivQuantum Advantage in Multi Agent Reinforcement Learningmentionspending2026-05-14
0.616arxivAQKA: Active Quantum Kernel Acquisition Under a Shot Budgetmentionspending2026-05-14
0.613arxivLate-time Quantum Vacuum Decay and its Cosmological Implicationsmentionspending2026-05-28
0.612arxivQuantum field theory of massive chiral fieldsmentionspending2026-05-28
0.611arxivFundamental or Composite? The Higgs Enigmamentionspending2026-05-06
0.609arxivMedium Characterization with Hard Probes: From Cherenkov Light in QED to Jet Drift in QCDmentionspending2026-05-06

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "quantum mass scale",
  "mode": "FORECAST",
  "role": "Host",
  "context": "Experimental quantum progress that could eventually integrate with AI systems for optimization / material science.",
  "to_year": 2030,
  "conv_cues": "successfully demonstrating; directional",
  "direction": "UP",
  "from_year": 2025,
  "timeframe": "2025+",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Google Willow chip demonstrates below-threshold error correction",
      "notes": "HIT — Willow's 105-qubit chip below threshold confirmed.",
      "source": "https://www.programming-helper.com/tech/quantum-computing-race-2026-ibm-google-microsoft-breakthroughs-advantage",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.programming-helper.com/tech/quantum-computing-race-2026-ibm-google-microsoft-breakthroughs-advantage",
      "expected_date": "2025-03-16",
      "observed_date": "2024-12-09",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2025-06-30",
        "from": "2024-12-01"
      },
      "measurement_criterion": "Google publishes Willow chip results showing error rate decreasing as code distance increases (below threshold)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2025-05-12",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Quantinuum / IBM cross 10+ logical qubits within 2025",
      "notes": "HIT — Quantinuum roadmap targeted 10+ logical qubits in 2025.",
      "source": "https://thequantuminsider.com/2025/05/16/quantum-computing-roadmaps-a-look-at-the-maps-and-predictions-of-major-quantum-players/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://thequantuminsider.com/2025/05/16/quantum-computing-roadmaps-a-look-at-the-maps-and-predictions-of-major-quantum-players/",
      "expected_date": "2025-07-02",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2025-12-31",
        "from": "2025-01-01"
      },
      "measurement_criterion": "Quantinuum or IBM demonstrates >=10 logical qubits encoded with quantum error correction"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2025-09-20",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "2025 Nobel Prize in Physics awarded for macroscopic quantum tunneling",
      "notes": "HIT — 2025 Nobel acknowledged macroscopic quantum tunneling, validating the broader hardware-advancement narrative.",
      "source": "https://www.spinquanta.com/news-detail/the-science-behind-the-2025-nobel-discovery-macroscopic-quantum-tunneling",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.spinquanta.com/news-detail/the-science-behind-the-2025-nobel-discovery-macroscopic-quantum-tunneling",
      "expected_date": "2025-10-07",
      "observed_date": "2025-10-07",
      "research_origin": "deep_research",
      "measurement_criterion": "Nobel Committee awards Physics Nobel for macroscopic quantum tunneling work"
    },
    {
      "kind": "llm_pre_event",
      "label": "Vienna team demonstrates quantum interfe
... (truncated)