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.
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.
I have just finished an abstract that formally introduces IPCM as a quantum-native communication and control architecture built on my Quantum State Command Encoding (QSCE) and QSTS-DQA framework. In this work, collapse is no longer treated as a passive, probabilistic endpoint. IPCM uses unitary phase anchoring, echo-stabilized entanglement, and feedback-linked collapse funnels to steer non-local collapse into engineered manifolds across a 16-qubit mesh. The result is routed command execution across entangled nodes rather than mere statistical correlation. -------------------------------------------------------- Key points from the abstract: • IPCM is validated at TRL-7 on IBM superconducting backends, showing repeatable deterministic collapse convergence where a small set of post-evolution basis states captures roughly 99 percent of the probability mass. • No post-selection, error filtering, hidden-variable assumptions, or classical feed-forward are used. The collapse bias is enforced purely by the unitary orchestration and activation-propagation logic. • Non-locality is reframed as an engineered command substrate. Collapse-conditioned correlations become a routable primitive for remote activation events while remaining consistent with no-signaling constraints. • This enables a new class of quantum protocols: collapse-conditioned control channels that operate alongside classical links, opening paths toward subspace mesh networking, autonomous deep-space command systems, QCI-linked satellite control, and entanglement-anchored communication infrastructure. • By treating activation pathways (QMCA, SQCA, EBA, QPSA) as modular routing primitives embedded directly into the state evolution, IPCM extends standard quantum control practice without changing the underlying unitary framework.
This record contains a technical note documenting the development, validation status, and intended scope of the QSCE Fermi-Hubbard kernel program. The work investigates whether Quantum State Command Encoding, in its QSCE-light configuration, can operate around a recognized many-body Hamiltonian simulation while preserving the underlying physical observables. The study implements a 4-qubit, 2-site spinful Fermi-Hubbard kernel using Jordan-Wigner-mapped hopping and on-site interaction terms, with double occupancy serving as the primary observable. After diagnosing and correcting an inert same-spin initial state, the v1.5 kernel produced a physically meaningful U/t-dependent double-occupancy response in local simulation. The corrected opposite-spin half-filled sector showed the expected suppression of double occupancy as U/t increased. Within this corrected configuration, QSCE-light preserved the bare Fermi-Hubbard observable curve while remapping the dominant readout identity from the bare branch’s 1001-type output toward a QSCE-light 0101 readout. This behavior establishes the central technical capability under investigation: observable-preserving readout remapping. Limited IBM Marrakesh hardware execution at U/t = 0 and U/t = 2 showed QSCE-light tracking bare Fermi-Hubbard double occupancy despite substantially greater transpiled depth. At U/t = 0, bare FH produced double occupancy of 0.479248 while QSCE-light produced 0.478027. At U/t = 2, bare FH produced 0.407227 while QSCE-light produced 0.421631. No-BSCM and phase-scrambled controls separated from the main QSCE-light branch, indicating that the BSCM/readout structure contributes functionally to observable preservation and output geometry stabilization. The current result is a kernel-level proof of concept rather than a completed materials-discovery result. The evidence supports QSCE-light as a candidate Hamiltonian-preserving structured readout layer for NISQ many-body simulation. The intended development path proceeds from completion of the U/t = 8 hardware point, to QSCE-light-only repeatability, to an 8-qubit 2x2 Fermi-Hubbard plaquette, and then to larger quasi-2D, 2D, and possible 3D extensions.
This technical note documents a prototype-level demonstration of the Interplanetary Command Mesh (IPCM) architecture executed on IBM superconducting quantum hardware. The purpose of the work is to show that a structured quantum output can move beyond passive observation and serve as the causal trigger for a real downstream system event. In repeated runs on the ibm_marrakesh backend, the IPCM circuit preserved a constrained dominant support family consistent with the pre-measurement state structure. A dominant measured basis state was selected from that stable support family, decoded into a command token (PING), and used to trigger a live UDP beacon from a sender machine to a separate receiving machine on a local network. The receiving endpoint successfully logged the transmitted payload, including backend, job, dominant state, and support-family data. This result does not claim direct QPU-to-QPU signaling, faster-than-light communication, or a fielded secure communications system. Rather, it establishes a narrower but important prototype primitive: a real hardware quantum output can be decoded into an operational command and used to drive a completed cross-machine signaling event. In that sense, IPCM is demonstrated here not merely as a structured-collapse circuit, but as a working quantum-to-classical command-delivery prototype. The note includes the prototype architecture, execution flow, real hardware job references, sender/receiver console evidence, and repeatability discussion across multiple submissions.
Abstract The emergence of noisy intermediate-scale quantum processors marked a pivotal stage in quantum computing, enabling the first demonstrations of quantum computational advantage despite limitations in qubit count, connectivity, and gate fidelity. Among the earliest and most accessible NISQ platforms were the IBM Quantum TM TM computers, which provided an open testbed for algorithm development, benchmarking, and error mitigation. Crucially, many of these pioneering quantum computers have since been retired, rendering their performance records fragmented and at risk of permanent loss. This work presents a comprehensive benchmarking study of these early IBM quantum computers, documenting their architectural layouts, qubit connectivity, native gate sets, coherence properties, effective Hamiltonians, control mechanisms, error rates, and operational performance. We reconstruct the operational profiles of these quantum computers and highlight the trends, trade-offs, and limitations that characterized superconducting quantum hardware in the NISQ era. This study establishes a historical baseline for assessing progress in quantum hardware development, offering essential guidance on error scaling, coherence limitations, and architectural trade-offs for designing next-generation quantum hardware. These insights directly inform superconducting quantum architecture design, compilation strategies, and error-resilient algorithms on the path toward fault-tolerant quantum computation.
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 record contains the Madmartigan 96-Active-Qubit Structured-Output Benchmark package developed under the Quantum State Command Encoding (QSCE) research program. The benchmark documents the progression from an original 16-qubit Madmartigan structured-output circuit into a controlled 96-active-qubit, six-tile NISQ benchmark executed on IBM superconducting quantum hardware. The objective was not merely to increase qubit count, but to test whether a designed quantum circuit could preserve a reference-specific structured-output band across multiple physical tile regions under real hardware constraints. The final benchmark package includes execution on IBM Marrakesh using 96 active qubits, 156 measured qubits, six simultaneous 16-qubit tiles, 4096 shots per run, no quantum error correction, and no post-selection. The primary GLOBALPACK T6 rank-2 layout is accompanied by calibration-aware 64-active-qubit replication results, multi-seed robustness testing, an 831-depth 96-active-qubit stress layout, same-layout generic RCS controls, phase-scrambled architecture-adjacent controls, and partial-entanglement ablation analysis. The central finding is that the Madmartigan circuit preserved repeatable, reference-specific structured-output behavior across tiled hardware execution, while same-layout generic RCS controls and phase-scrambled controls failed to reproduce the Madmartigan reference band. The package includes statistical raw-versus-control separation, physical tile-map visualizations, and reproducibility artifacts to support independent technical review. Included materials may include some or all of the following: benchmark report, QASM3 circuit exports, QPY circuit artifacts, raw hardware counts, metadata, analysis CSVs, physical tile maps, scanner outputs, statistical comparison files, figures, and supporting run scripts. These artifacts are provided to support auditability, reproducibility review, and continued evaluation of QSCE/Madmartigan structured-output preservation as a potential near-term NISQ utility pathway. This work is positioned as a structured-output preservation benchmark rather than a universal quantum advantage claim. Its relevance lies in testing whether quantum hardware output can be engineered into stable, classifiable, reference-specific signal bands that may support future quantum-to-classical handoff, signaling, authentication, command validation, and cyber-hardening primitives. Reproducibility package available upon request at frank@quantummidiposse.com