Quantum Polycontextural Computing (QPC) is a hardware-agnostic orchestration layer that maps multiple labelled problem contexts onto one gate-model execution on commercial superconducting QPUs. We report three auditable hardware studies on IBM Heron (ibm_fez, ibm_marrakesh) under the IBM Open plan, each with published job identifiers and JSON artifacts: (i) a 46-qubit mastoparan-I folding pilot compared to a published trapped-ion BF-DCQO energy reference (−8.70); QPC Tier-D repair reaches −9.74 in one pass with eight recoverable job IDs; (ii) a controlled K-ablation on 16 qubits where polycontextural K=4 fits held-out Wang–Busemeyer joint statistics better than a matched K=1 control (bootstrap one-sided p<0.0005 on total-variation and KL); (iii) thirteen Runtime jobs demonstrating co-resident multi-context layouts from 4×39Q through 24 contexts in six cluster submissions. A supplementary transjunction ON vs OFF ablation at 3×26Q shows bridge-local inter-context correlators increase by |Δ|>0.05 when ring coupling is enabled, after QPC readout mitigation on bridge qubits only; full-width correlators do not separate conditions. We state limitations explicitly: QPC is not a new QPU; protein and cognition results are selective comparisons, not universal advantage claims; open-instance entropy alone does not signature the architecture.
Quantum Polycontextural Computing (QPC) is a hardware-agnostic orchestration layer that maps multiple labelled problem contexts onto one gate-model execution on commercial superconducting QPUs. We report three auditable hardware studies on IBM Heron (ibm_fez, ibm_marrakesh) under the IBM Open plan, each with published job identifiers and JSON artifacts: (i) a 46-qubit mastoparan-I folding pilot compared to a published trapped-ion BF-DCQO energy reference (−8.70); QPC Tier-D repair reaches −9.74 in one pass with eight recoverable job IDs; (ii) a controlled K-ablation on 16 qubits where polycontextural K=4 fits held-out Wang–Busemeyer joint statistics better than a matched K=1 control (bootstrap one-sided p<0.0005 on total-variation and KL); (iii) thirteen Runtime jobs demonstrating co-resident multi-context layouts from 4×39Q through 24 contexts in six cluster submissions. A supplementary transjunction ON vs OFF ablation at 3×26Q shows bridge-local inter-context correlators increase by |Δ|>0.05 when ring coupling is enabled, after QPC readout mitigation on bridge qubits only; full-width correlators do not separate conditions. We state limitations explicitly: QPC is not a new QPU; protein and cognition results are selective comparisons, not universal advantage claims; open-instance entropy alone does not signature the architecture.
One-run polycontextural quantum computation on a 156-qubit processor Ilan Kreitmann (Quantum Polycontextural Computing, Ra'anana, Israel) Quantum Polycontextural Computing (QPC) keeps several application logics as contextures of a single quantum job, relates them by transjunctions, and reads the application metric from the joint measurement. This preprint reports that architecture on IBM Heron r2 processors: a 24-contexture photomask desk in one 156-qubit job on ibm_kingston (R1_none 0.622 vs W0.00 0.460, job daas1burrl7c73860bd0); a 17-logic ADMET desk occupying the full 156-qubit register on ibm_marrakesh with raw junction gap 0.185; and a pre-registered first-line melanoma ranking on ibm_kingston (0.569 over 0.394, job da1gvd6g52gs73clkp20). The measured quantum state is the decision. Correspondence: readytogo@quantumpolycontextural.ai https://quantumpolycontextural.ai
On 4-5 July 2026, an identical shock protocol was executed on the same 156-qubit IBM Heron R2 architecture (ibm_fez) but with the QITE lambda feedback replaced by uniformly random rotation angles per cycle. This random-angle null control preserves every structural variable — RY+RZ+CZ layer, Heavy-Hex CZ coupling, 4096 shots/cycle, seed 20260602, the same 150 cycles, and the same six shocks at the same cycles (20/40/60/80/100/120), the same target qubits (q78, q69, q67, q47, q37, q16) with the same amplitudes (l1,l2) — while removing only the decentralized per-qubit lambda feedback dynamics. Backend selection was driven by queue availability; both are 156-qubit Heron R2 devices with identical architecture, and calibration differences cannot account for the qualitative burst-count contrast reported below. The result is a clean negative: zero collective bursts across all six shocks. The four non-parametric statistical tests (identical methodology to v1) all confirm the absence of shock-driven collective response: (1) permutation test yields p = 1.0 for shock alignment against the noise-saturated per-cycle transitions; (2) pairwise Pearson correlation between per-transition delta-p1 vectors drops from r_mean = +0.65 in the multi-shock run to r_mean = +0.017 in the null; (3) cross-session hypergeometric overlap between null "top-active" qubits and the v1 multi-shock top-active set is not significant (Jaccard = 0.11, p = 0.24); (4) Mann-Whitney U on shock-cycle max|delta p1| versus baseline shows ratio 0.989 with p = 0.89 — statistically indistinguishable from noise. Baseline global coherence exp(-8*Var(p1)) sits at 0.413 +/- 0.022 across all 150 cycles under random angles, versus 0.99 +/- 0.01 under QITE feedback in v1 — two distinct dynamical regimes. That the shock protocol itself executed correctly on the null run is verified locally at the target qubit: for each of the six shocks, the measured p1[q_target] at the shock cycle agrees with the theoretical prediction from theta_shock = 2*atan2(l2, l1) to within <5% (q78 shock: predicted 0.016, measured 0.018; q69 shock: predicted 0.985, measured 0.939; and so on for all six). One cycle after each shock, the target qubit returns to the random baseline distribution — with no feedback dynamics, there is no restoring trajectory. The shocks are physically executed; what is absent is the collective response. Causal conclusion: the QITE per-qubit lambda feedback dynamics are necessary for the observed collective burst phenomenology. The circuit structure (RY+RZ+CZ on Heron R2 Heavy-Hex topology) and shock protocol alone do not produce bursts. Six identical shocks on QITE-stabilized baseline produce 10 collective bursts with 6/10 shock-aligned (p = 0.008); the same six shocks on random baseline produce zero. This 10-vs-0 hardware contrast, verified by four independent non-parametric tests, establishes feedback necessity as a falsifiable causal claim rather than a phenomenological observation. The v2 bundle contains the complete null-control primary data (150-cycle JSONL, consolidated JSON, p1 numpy matrix), all IBM Runtime job IDs with per-cycle timestamps, Tee'd console logs of both the initial run and the resume run (a mid-run job-poll stall on 4 July required a resume from cycle 7 with deterministic per-cycle RNG seeds), five analysis figures including direct null-vs-multi comparison plots, the full side-by-side statistical comparison JSON, the v1 multi-shock p1 matrix and statistical test outputs for reanalysis, an 8-page supplement PDF (Section 5) integrating with the v1 paper, and SHA-256 checksums of every file in MANIFEST_v2.json. Backend (v2 null control): IBM Heron R2 (ibm_fez), 156 qubits, 4096 shots/cycle.Companion patents: DPMA Az. 10 2025 003 906.9 (QITE), 10 2025 004 891.2 (QISE).Predecessor (v1): Westrick, Reproducible Collective Burst Modes on 156 Qubits: Decentralized Per-Qubit QITE Lambda Field on IBM Heron R2, 1 June 2026. On 1 June 2026, a decentralized per-qubit lambda field was implemented on the IBM Heron R2 processor (ibm_kingston, 156 qubits) and probed with a multi-shock excitation protocol. Unlike the predecessor work (Westrick, Controllable Quantum Collective States on 156 Qubits: Experimental Results of the QITE Formalism on IBM Heron R2, 12 April 2026), which tested a globally controlled QITE quantum collective, each qubit here carries its own lambda state and receives, in the feedback loop, only its own measurement statistic p1_i. The only inter-qubit coupling propagates physically through the CZ gates of the Heavy-Hex topology. Six shocks were applied at six different positions on the chip: central (q*=78), nearest neighbor (d=1), intermediate (d=3, d=5), deep (d=8), and edge (d=12). Each individual shock triggered a chip-wide burst within 1-8 cycles (peak |delta p1| between 0.308 and 0.366; 10 to 22 simultaneously active qubits). Four additional spontaneous bursts were detected between shocks, for a total of 10 bursts in 150 cycles. The 6/6 reproducibility was verified by four independent non-parametric statistical tests, all positive: (1) permutation test p = 0.008 against chance alignment; (2) pairwise burst-vector Pearson correlation r_mean = +0.65 with all 15 pairs above noise; (3) cross-session reproducibility 9/10 qubit overlap between two independent IBM Quantum sessions, hypergeometric p = 0.008; (4) Mann-Whitney U test of burst amplitude versus Phase-A baseline, ratio 2.7, p < 0.0001. This bundle contains the complete primary data (raw JSON logs, NumPy matrices), all 27 visualizations, IBM job IDs of every submitted job, console logs of all runs, the pre-registration documents with locked detection thresholds, and SHA-256 checksums of every file (MANIFEST.json) for independent verification. Backend: IBM Heron R2 (ibm_kingston), 156 qubits, 4096 shots/cycle.Patent filings: DPMA Az. 10 2025 003 906.9 (QITE), 10 2025 004 891.2 (QISE).Predecessor: Westrick, Controllable Quantum Collective States on 156 Qubits, 12 April 2026.
We report a set of pre-registered experiments on the three 156-qubit IBM Heron r2 processors reachable on a single open-plan account (ibm_kingston, ibm_marrakesh, ibm_fez), carried out on 14–15 October 2026. The object of study is not computational speedup but channel reliability: whether fixed symbolic messages can be delivered intact through a present-day noisy processor when the processor's per-wire readout response is measured fresh in the same sitting, and whether two such processors can exchange messages with per-position verification. Messages are 17-symbol sequences drawn from a 13-symbol test alphabet whose preparations collapse to nine distinguishable readout classes. A receiver combining per-wire selection from a fresh characterization, grammar-constrained decoding, and a corpus-frequency tie-break delivered 36/36 messages on ibm_kingston in two independent campaigns, 36/36 on ibm_marrakesh, and 35/36 on ibm_fez, against stale-plan and uncharacterized controls ranging from 2/36 to 30/36 depending on backend and control type. The grammar-constrained receiver without the corpus prior scored 30/36, 30/36, and 29/36 on the three backends; its losses are a single systematic mechanism — a deterministic tie on one battery message — identified from saved counts and closed by the prior. In a separate experiment, ibm_kingston and ibm_marrakesh exchanged self-introduction streams authored by each backend from its own fresh characterization, through a six-stage symmetric relay, with 204/204 position-flights received exactly and zero substitutions. In a counts-only blind test, an independent decoder with no shared codebook recovered the discreteness and grouping structure of two authored streams (pooled pairwise grouping agreement 0.971 against a pre-registered 0.90 strong-pass bar) while overestimating the alphabet size (reported 8, true value 6). A census of repeated characterizations shows that the ranking of a device's clearest wires turns over within hours (same-day top-17 wire overlap of 1–2 of 17 on ibm_marrakesh), while per-wire response quality moves by only ~0.01, so characterizations are within-sitting instruments. No speedup, no machine networking, and no machine understanding is claimed. The full receiver implementation is withheld as a trade secret; verification is offered through the published job IDs, retained raw counts, and tiered third-party reproduction.
Eight verified quantum computing jobs executed on IBM Quantum hardware (ibm_fez Heron R2, 156 qubits; ibm_torino Heron R1, 133 qubits) between January 27 and March 15, 2026. User ID: IBMid-692001DJRD. Experiments include: 1. Bell State Entanglement — 96.3% fidelity on ibm_fez Heron R2 (Concurrence C = 0.926, Tangle T = 0.858, 1,000 shots). Cross-platform benchmark: Heron R2 vs Heron R1 (+8.3 pp fidelity advantage, noise ratio 2.43×). 2. Reproducibility Test — Two independent runs of identical circuit (χ² = 2.70, p = 0.44, df = 3). H₀ not rejected: statistically indistinguishable results at 95% confidence. 3. BB84 Quantum Key Distribution — Full Alice/Eve/Bob protocol implementation. Alice baseline error 0.60% → Bob QBER 49.0% under eavesdropping (82× degradation). Experimental demonstration of the quantum no-cloning theorem. Control group design isolates eavesdropper signal from hardware noise baseline. 4. Variational Quantum Circuit (VQC) — 2-qubit circuit, 10 trained parameters with tied weights (θ₃ = θ₄), 8 CZ gates in 4 entangling layers. 4-qubit ansatz: Shannon entropy 3.885/4.000 bits (97.1%), ground-state bias confirmed (χ² = 300.94, p ≈ 0). 5. Quantum Random Number Generation (QRNG) — 8-bit outputs, 10/10 unique values per shot (range 16–254). Total: 39,010 quantum measurements across 8 jobs and 10 circuits. QPU time: 4.8 seconds. Job completion rate: 100%. All results decoded from raw IBM SamplerV2 BitArray binary archives (zlib + base64 + NumPy .npy pipeline). No simulations. Statistical validation applied throughout (Wilson 95% CIs, chi-squared tests). Stack: Qiskit Runtime SamplerV2 · QPY · OpenQASM 2.0 · Python · NumPy · SciPy Repository: https://github.com/dinohatibovicWhitepaper: https://dinohatibovic.github.io (Doc QAI-WP-2026-01-28-V4)
Experimental measurement data of the QITE formalism (Quantum-Inspired Thermal Equilibrium) on IBM quantum processors of the Heron R2 generation with 156 physical qubits. Altogether 75+ jobs on two different backends (ibm_kingston and ibm_fez), over 830,000 shots, carried out on 8, 10, and 11 April 2026. Seven experiment series: (1) Static phases (R=0.5 / 1.0 / 2.0): three clearly separated Hamming-weight distributions (16.3σ significance), positive ZZ correlations under QITE (+0.318 at R=2.0) versus negative ones in the null experiment (−0.061). Controlled comparison experiment with null hypothesis (identical circuit structure with random parameters). (2) Real-time feedback loop (8 cycles): two targeted perturbations (R=3.0 and R=0.3); the system returns autonomously to equilibrium within 2 cycles. First demonstration of dynamic controllability of a QITE quantum collective on a real quantum computer. (3) Cross-backend reproducibility: identical results on ibm_kingston and ibm_fez — deviations within a few percent. (4) Zero-noise extrapolation (ZNE): circuit folding (1×, 3×, 5×) with Richardson extrapolation. Result: coherence 0.474 → 0.474 extrapolated (improvement: −0.0005). The optimized circuit (depth 13, 120 CZ gates) already operates at the hardware noise floor — ZNE cannot improve it further because the circuit is already near-optimal. (5) Scaling comparison 27 vs. 156 qubits: the 27-qubit version on the same backend (ibm_kingston) shows ZZ correlation of 0.788 against 0.318 at 156 qubits (Δ = +0.470). Circuit depth drops from 13 to 6, CZ gates from 120 to 13. Confirms: the QITE signal scales with gate quality. (6) Extended feedback loop (20 cycles): four extreme perturbations — R=3.0 (excess), R=0.3 (deficit), R=5.0 (5-fold excess), R=0.1 (10-fold deficit). Maximum coherence C=0.785 (highest value ever measured). The system reorganizes itself after each perturbation within 2–4 cycles. Long-term stability demonstrated across 20 cycles and 436 seconds of total runtime. (7) 3-minute stability demonstration (20 cycles, 262.7 seconds): dedicated long-term test with two targeted shocks (R=4.0 and R=0.2). Result: ones_fraction remains between 0.491 and 0.499 over 4.4 minutes (maximum deviation from equilibrium: 0.009). Drift across the entire runtime: +0.003. Complete recovery after both shocks. 18/18 non-shock cycles stable. First demonstration of a self-correcting quantum field on a real quantum computer over several minutes. Circuit optimization relative to 8 April: reduction of circuit depth from 295 to 13 (factor 22×), two-qubit gates from 1,946 to 120, by exclusive use of native Heron R2 gates (CZ, SX, RZ, X) and direct lambda encoding via RY(θ) with θ = 2·arctan(λ₂/λ₁). The system demonstrably produces controllable, correlated, self-organizing quantum states on real hardware — no simulation, no theory, but physical measurement data of a concrete technical system. All 59 IBM job IDs are contained in the raw data and verifiable on quantum.ibm.com. German patent applications Az. 10 2025 003 906.9 (QITE) and Az. 10 2025 004 891.2 (QISE). Final document (12 April 2026) — 21 sections, 9 experiment series, 372 individual quantum measurements. Extensions compared to the previous version: Section 19: 9-minute experiment (209 cycles, 156 qubits, 4096 shots) Phase A: null test (23 cycles, R=1.0) — baseline control measurement Phase B: 8 shocks (R=0.1 to R=8.0) incl. double shock — complete recovery after each shock Section 20: overall summary of all 9 experiment series (8–12 April 2026) Section 21: raw-data appendix with SHA-256 checksums of all 9 JSON files Core results: 372 quantum measurements on IBM Heron R2 (ibm_kingston, ibm_fez) Dynamic range R=0.1 to R=8.0 (factor 80) with complete self-correction The null test proves: recovery is an active process, not a hardware artefact No drift, no collapse across 209 consecutive measurements Optimized circuit: depth 13, 120 CZ gates, at the hardware noise floor (ZNE-confirmed)
We report the first hardware-executed quantum-classical coordination pipeline on NISQ hardware for a societal coordination problem task-to-member matching in a 500-agent community economy. The three-stage architecture (AI decomposition → 19 qubit quantum semantic scoring on IBM Heron R2 classical QUBO assignment) executes end-to-end on three Heron R2 processors (ibm_fez,ibm_marrakesh, ibm_kingston). We observe a three-tier regret stratification: (i) a noiseless ceiling at 1.48% (five independent simulator controls + ibm_marrakesh), (ii) a classical-kernel tier at 0.86% via the Shin–Teo–Jeong (2024) dequantization kernel K_c, and (iii) a hardware tier at 0.61% reproduced independently on ibm_fez and ibm_kingston with identical θ. Since K_c's RKHS provably contains the quantum kernel's RKHS at logical depth, the hardware tier is a reproducible operating regime outside the dequantized function class. A companion multi-cycle society-model experiment shows pipeline weight choice is a time-horizon-dependent policy decision; the QUBO matcher also acts as a performative Granovetter machine (80% more weak ties than greedy, p = 9.1 × 10⁻⁵, d ≈ 27 at n = 10 runs).