This page states what QPC is doing in the holographic line of work. The object is quantum: a distributed state, multiple implicit contexts, readout by measurement on IBM Heron r2.
Quantum-native task: Prepare and probe a polycontextural hologram in Hilbert space. Encode distributed structure across many degrees of freedom, then answer a question defined by quantum correlations and measurement.
How we read hardware: Simulator and named IBM jobs sit side by side. The computation is the quantum process: prepare, probe, reconstruct.
One framing for every QPC demonstration on real processors linked from this holographic family.
What we show. The intended reconstruction on the simulator, and the measured reconstruction on IBM processors. QPC applies the documented noise reducer. Architecture claims stay on the named hardware jobs.
How we present it. We separate (1) the definition of the quantum-native task, (2) what we ran on device, and (3) the hardware number next to the simulator number.
One-line summary. Prepare and probe a polycontextural hologram in Hilbert space. See the Holographic Memory report and SWR results.
The object under study is the quantum state produced by QPC-style encoding: a holographic object on the QPU, read by measurement.
A pattern is written into a polycontextural interference field (several layers: phase, spreading, entanglement). Only k of N qubits are measured. Reconstruction from marginals is the operational story. The stored object is the joint quantum state before and at measurement. Simulator and hardware both report the reconstruction.
A related line encodes structure into many qubits and uses a parameterized quantum decoder; the answer is intended to appear on a small ancilla register after measurement: a quantum readout channel. The definition stays: read the hologram by measurement.
Numbers from the holographic partial-measurement runs on IBM processors.
| Layer | What we observe |
|---|---|
| Ideal (simulator) | Reconstruction tracks the intended distributed encoding. Task structure is visible (up to 56.25% on one pattern). |
| Hardware (IBM Heron r2 · ibm_fez; Eagle · ibm_torino; Heron r3 · ibm_pittsburgh) | Full-pattern accuracy 43.75% from 16 of 32 qubits, 4096 shots, on all three backends. |
| Gap (up to 12.5 pp on the Pittsburgh-matched pattern) | Simulator and hardware sit side by side. The holographic task stays quantum-native. |
Discussion. QPC implements prepare → partial probe → reconstruct for a holographic quantum object. Hardware accuracy is 43.75% on the named IBM processors. Shallower encodings and the QPC noise reducer serve the same quantum-native definition.
Clear success criteria for the holographic object on the QPU.
Brain microtubules are cited as an example where the relevant picture is many coupled quantum degrees of freedom and distributed information. QPC Holographic Memory targets that class of phenomenon computationally: holographic storage, partial readout, quantum correlations. The full report maps Kenograms, contextures, and partial measurement to that analogy in detail.
→ Full QPC Holographic Memory Report (methods, 3D view, tubulin mapping)
→ QPC-SWR v1 executive results (structure witness on Fez; how it compares to this holographic framing)
→ Quantum contextuality task (Mermin–Peres) (parallel framing for contextuality demos on Fez)