This technical report packages a set of hardware component-witness experiments run on IBM superconducting quantum processors. The experiments test whether a hidden auxiliary phase can affect a later system-qubit measurement, whether that phase can be recovered from basis-resolved readout, and whether two auxiliary registers can produce a nonadditive response rather than a simple sum of their individual effects. The package includes the report draft, figures, raw hardware result JSONs, raw-count appendix, and scripts for regenerating the figures and count tables. The central result chain is: echo/phase response on real hardware, basis-resolved phase readout without density-matrix tomography, and a two-register Y-basis nonadditivity test where the first run remains a frozen FAIL and an independent higher-shot replication reaches STRONG_PASS. The longer-term motivation is to develop small, testable quantum hardware primitives for systems that can preserve, read out, and combine latent histories or unchosen alternatives, instead of reducing every intermediate state to a single classical output immediately. In that sense, these experiments are intended as early building blocks for future quantum-assisted sequence or language-model architectures. This work does not claim a completed quantum language model, natural-language processing on a quantum computer, consciousness, selfhood, classical impossibility, or quantum advantage. It reports only hardware component witnesses on specific IBM backends, edges, and calibration windows, with the possibility of richer classical explanations left open.
This technical report packages a set of hardware component-witness experiments run on IBM superconducting quantum processors. The experiments test whether a hidden auxiliary phase can affect a later system-qubit measurement, whether that phase can be recovered from basis-resolved readout, and whether two auxiliary registers can produce a nonadditive response rather than a simple sum of their individual effects. The package includes the report draft, figures, raw hardware result JSONs, raw-count appendix, and scripts for regenerating the figures and count tables. The central result chain is: echo/phase response on real hardware, basis-resolved phase readout without density-matrix tomography, and a two-register Y-basis nonadditivity test where the first run remains a frozen FAIL and an independent higher-shot replication reaches STRONG_PASS. The longer-term motivation is to develop small, testable quantum hardware primitives for systems that can preserve, read out, and combine latent histories or unchosen alternatives, instead of reducing every intermediate state to a single classical output immediately. In that sense, these experiments are intended as early building blocks for future quantum-assisted sequence or language-model architectures. This work does not claim a completed quantum language model, natural-language processing on a quantum computer, consciousness, selfhood, classical impossibility, or quantum advantage. It reports only hardware component witnesses on specific IBM backends, edges, and calibration windows, with the possibility of richer classical explanations left open.
SSAF's central falsifiable prediction, NS1, requires that under a witness-confirmed fixed classical context, the reduced dynamics of a probe carry no dependence on the quantum state: all fitted rate parameters are functions of the context alone. This record reports a preregistered pilot execution of the NS1 protocol on the superconducting processor ibm_fez, using target qubit 6 and independent witness qubit 10. The independent context witness passed its two-part gate. Raw stability gave p = 0.3617, and witness-rate homogeneity gave p = 0.9998. The primary endpoint found that one shared affine reduced-evolution law accounted for an informationally complete set of eight target preparations, with a leave-one-out statistic of 176.21 against a parametric-bootstrap null 95% quantile of 253.40 and a cross-validation p-value of 0.6167. The secondary endpoint found no preparation-dependent heterogeneity among six fitted transverse decay rates, with a homogeneity p-value of 0.4003 and a maximum fractional deviation of 2.5%. The result is evidence of consistency with the preregistered NS1 prediction at the stated experimental sensitivity. It is not unique confirmation of SSAF, and it does not exclude state dependence below the achieved resolution. Standard fixed-context open-system quantum mechanics also predicts consistency with this result. The deposited record includes the manuscript, TeX source, submitted Python and notebook protocol, preregistration and preflight records, raw and processed data, machine-readable results, figures, run provenance, licensing information, and checksums. The hardware run was executed on July 17, 2026, with 7,424 shots per effective circuit and 435.0 seconds of QPU usage.
Version update: This record has been updated to remove enabling implementation details pending patent prosecution. Technical implementation is available under NDA. This preprint documents three quantum-native sensing kernels implemented on current IBM superconducting hardware under the Quantum State Command Encoding (QSCE) architecture. Rather than treating a quantum processor as a probabilistic number generator, QSCE treats the device as a command substrate, where quantum state is executable code and collapse is the execution of a control instruction. The work presents three low-qubit, shallow-depth sensing primitives designed to convert small, controlled perturbations into structured, repeatable changes in collapse-band behavior around a deterministic baseline: QMCA — a 1-qubit collapse-response kernel that converts small perturbations into calibrated changes in a non-baseline population while preserving a stable baseline anchor. SQCA — a 1-qubit hybrid-response kernel consistent with superconducting drive behavior, exhibiting a deterministic baseline anchor and a complementary deviation profile under perturbation. EBA — a 2-qubit correlation-based kernel producing a repeatable joint-distribution response signature under perturbation while retaining a deterministic baseline band. All three kernels are validated on real IBM backends (4096 shots per configuration), showing: Deterministic baselines under the null condition, with >99 of counts concentrated in a single “quiet” band, and Monotonic, structured deviations in non-baseline states under small perturbations, consistent with a calibrated response signature. Within QSCE, these sensing kernels are treated as command-native primitives: baseline and deviant collapse bands are assigned explicit operational semantics (“no signal,” “signal present,” “threshold exceeded”), so that collapse functions as a decision event rather than merely a readout step. The note contrasts these primitives with bespoke quantum magnetometers (e.g., NV and vapor-cell platforms) and argues that QSCE kernels trade extreme sensitivity for programmability, integrability, and substrate-level command semantics on today’s NISQ hardware. This preprint also situates the sensing kernels alongside recent QSCE benchmarking on IBM hardware (including RCS-style metrics on 16-qubit circuits), highlighting a unified, control-first approach to quantum sensing and computation. Enabling implementation details are withheld in this public version pending ongoing patent prosecution; technical details are available under NDA.
A single-qubit Ramsey or T2 measurement reports how much interference survives on a qubit, but not why the rest is missing. Phase information lost to an unobserved environment and phase information coherently redistributed into neighbouring qubits produce the same local signature, although only the second can be recovered. We study the interference that a target qubit regains when a controller measures a chosen set of helper systems and applies an outcome-dependent phase correction. For a fixed interference basis and any helper subset T, we prove that the maximum average l1 coherence recoverable this way equals 2‖C_T‖₁, twice the trace norm of the off-diagonal block of the reduced state, and that a projective measurement on T attains it. Imposing a budget on the number of helpers gives a monotone hierarchy I(0) ≤ I(1) ≤ … ≤ I(m) from local coherence to full assistance, from which we derive an access order d_η (the fewest helpers that recover a fraction η of the accessible interference) and an unlocking spectrum π_r. Exact examples show that states with identical local and fully assisted coherence can have opposite access structure, and that coherent leakage and dephasing with the same Ramsey visibility separate at the first helper layer. Exact state-vector calculations on eight qubits show the access order rising from 0.90 for depth-2 local circuits to 3.25 at depth 8 and 4.10 for Haar-random states. Applied retrospectively to published Bell-state tomography from the ibm_brisbane processor, the first layer shows that 91–96% of the accessible interference is invisible in the target marginal. We outline uses in hardware diagnostics: separating redistribution from decoherence, pairwise leakage maps from two-qubit tomography, and sizing mid-circuit readout for feed-forward. Files: the paper (PDF) and CRIA_code.zip, a Python package that regenerates every figure, table and number in the paper and numerically verifies its analytic results (run: python interference_accessibility_reproducibility.py --verify).
Abstract Near-term demonstrations of HHL-type quantum linear-system solvers require implementations that make spectral assumptions, post-selection costs, and hardware-induced errors explicit. This is particularly important for small hardware experiments, where finite-shot sampling, phase-estimation resolution, and multi-controlled-gate overhead can dominate the observed performance. A hardware-executable HHL benchmark pipeline for Hermitian linear systems is presented and evaluated on small positive-definite and indefinite benchmark instances. By fixing the complete end-to-end workflow, including sign-aware handling of indefinite spectra and post-selected diagnostic readout, the pipeline provides a reproducible basis for comparing ideal simulation, backend-calibrated noisy simulation, and selected IBM Quantum hardware executions. The benchmark instances are organized into amplitude-resolvability classes, indexed by a threshold factor τ, enabling finite-shot sampling effects to be compared across increasingly well-resolved instance families. Experiments on 8×8 positive-definite and indefinite nonsingular systems show close agreement across ideal simulator backends. Within the constructed benchmark family, more restrictive resolvability classes yield lower reference-sign-assisted diagnostic vector errors. Indefinite instances are more noise-sensitive because sign-aware handling introduces additional controlled phase operations and reduces the effective phase resolution available within each sign sector. Selected IBM Quantum hardware runs show end-to-end executability and broad consistency with backend-calibrated noisy simulation in the reference-sign-assisted diagnostic vector error. However, for these selected runs, the noisy simulator systematically overestimates the number of shots that survive ancilla post-selection, revealing a limitation of calibrated noise models for predicting the usable sampling budget of deep HHL circuits. Overall, the results provide a reproducible baseline for evaluating resource--accuracy trade-offs in near-term HHL-type routines. They also support the view that such routines are most naturally used as subroutines for estimating task-relevant quantities from ∣x⟩, rather than as standalone tools for full vector reconstruction.
RydbergPhaseDepthQA investigates whether a finite-size witness of the recently established quantum circuit-depth hierarchy mechanism remains experimentally distinguishable after provider compilation and noisy execution on a real quantum processor. The experiment compares a frozen exact (C^7Z) phase-witness circuit with a matched ablation obtained by removing exactly one pre-provider QIS two-qubit layer. The exact circuit has 36 CX gates and two-qubit depth 27, while the ablated circuit has 35 CX gates and depth 26. Hardware execution was performed on IonQ Forte-1 through the Open Quantum platform. An independent confirmatory campaign comprised three exact runs, three matched depth-minus-one runs, and one identity control, with 499 shots per job. The exact implementation achieved a success probability of 0.995992 (95% CI [0.992652, 0.998664]), compared with 0.000668 (95% CI [0, 0.002004]) for the depth-minus-one ablation. The exact-minus-ablation separation was 0.995324, with a 95% lower confidence bound of 0.991316. The identity false-positive probability was 0.002004 (95% CI [0, 0.006012]). All four frozen confirmatory statistical criteria passed, yielding RPDQA_FULL_PASS = True. These results provide a positive finite-size hardware witness of the multi-controlled-phase depth-hierarchy mechanism: for the tested (C^7Z) construction, the experimentally observed separation survives the full path from frozen QIS circuits through provider compilation to noisy QPU execution. The result does not constitute an experimental proof of the complete theoretical (d >= 12) hierarchy, nor does it claim that the final provider-native or pulse-level schedules preserve an exactly one-layer depth difference. The repository includes the frozen circuits, raw hardware results, analysis code, integrity hashes, and reproducibility tools: https://github.com/malikberrada/RydbergPhaseDepthQA
We implement and benchmark on IBM Quantum hardware the circuit family proposed by Violaris for estimating operational inter-branch communication witnesses, defined as correlations in classical measurement records produced by compiled Wigner's-friend-style circuits. We realize a five-qubit instance of the protocol as an inter-register message-transfer pattern within a single circuit, rather than physical signaling, and evaluate its behavior under realistic device noise and compilation constraints. The circuit encodes branch-conditioned evolution of an observer subsystem whose dynamics depend on a control qubit, followed by a controlled transfer operation that probes correlations between conditional measurement contexts.
Executing on the ibm_fez backend with 20000 shots, we observe population-based visibility of 0.877, coherence witnesses of 0.840 and -0.811 along orthogonal axes, and a phase-sensitive magnitude of approximately 1.17. While the visibility metric is insensitive to some classes of dephasing, the coherence witnesses provide complementary sensitivity to off-diagonal noise.
This work does not test or discriminate among interpretations of quantum mechanics. Instead, it provides a reproducible operational constraint pipeline for evaluating detectability of non-ideal channels relative to calibrated device noise.