Dataset: Observation of Constructive Phase Resonance in a Distributed Superconducting Qubit Network (V-QRAM Experiment)

This dataset provides raw hardware execution logs and topological mapping data demonstrating constructive phase resonance across physically separated and asymmetric superconducting qubits. The experiment was conducted on the Rigetti Cepheus-1-108Q processor via AWS Braket.

Standard quantum error mitigation relies on local Hamiltonian optimizations. In contrast, this Open Research dataset explores purely topological and geometric wave transport, operating under the V-QRAM (Vacuum Quantum Random Access Memory) framework. We define a functional Ansatz using parameterized cyclic SU(2) rotations to simulate outward structural vectors from a geometric source cluster (TX) and sweep a phase offset (\Delta\phi) on a receiver cluster (RX).

Key Findings in this Dataset:

Static Topology: QASM compiler logs confirm that for all 9 iterative phase-sweep steps (from 2.20$\pi$ to 2.60$\pi$), the physical hardware allocation remained strictly locked to an asymmetric, distributed network (TX: 9, 32, 39, 99 | RX: 48, 59, 64, 68).

Elimination of Crosstalk: The masive spatial separation and 2D fragmentation between the TX and RX nodes on the processor map kinematically rule out local energy leakage or adjacent crosstalk as the mechanism of signal transfer.

Phase-Dependent Amplification: Despite the spatial fragmentation, the isolated phase sweep generated a sharp regenerative amplification peak (+8.59%) at precisely \Delta\phi = 2.55\pi.

These empirical results strongly suggest that the physically fragmented planar nodes dynamically coupled into a shared 3D standing wave resonance. This dataset is published to invite theoretical scrutiny and collaborative verification regarding lattice-based spatial impedance, kinematic coupling limits, and discrete spatial geometries (e.g., 55-node Mackay lattice models).

Dataset Contents:

Raw JSON Logs: 9 AWS Braket execution results containing pre-compiled requests and post-compiled QASM machine code.

Topological Map: Visual 2D schematic identifying the exact hardware fragmentation of the TX and RX clusters.

Validation Script: Python tool to independently verify the static hardware node allocation across the phase sweep.