QPC multi-context circuits with CX/CZ entanglement across context boundaries—no mid-circuit collapse, verified on Qiskit Aer MPS simulator
Unlike classical aggregation across contexts, QPC transjunctions preserve quantum coherence between logical contextures.
Classical approach: Run each context separately, measure, then aggregate results. Quantum coherence is lost at context boundaries.
QPC transjunctions: Combine context circuits into one unified circuit. Insert CX and CZ gates between adjacent contexts in a ring. Single measurement at the end. Entanglement spans contexts.
130-qubit combined circuit (2 contexts × 65 qubits) executed on Qiskit Aer matrix_product_state simulator.
============================================================ QPC Transjunctions Verification ============================================================ 1. Building 2 context circuits... OK 2. Building transjunctional combined circuit... 130 qubits, depth 49 3. Verifying transjunctional gates (CX/CZ between contexts)... OK 4. Measurement gates: 130 (one per qubit, at end) 5. Executing on Qiskit Aer simulator (matrix_product_state)... OK Unique outcomes: 256 ============================================================ VERIFICATION PASSED ============================================================
VERIFIED Run python3 verify_transjunctions.py for local reproduction.
QPC supply chain optimization uses backend qubit count to choose execution mode:
When Condor access is available, the 8-context supply chain (8 × 65 = 520 qubits) will run as a single quantum circuit with true transjunctional entanglement.
True quantum-mechanical transjunctions distinguish QPC from approaches that stitch contexts classically: