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RESEARCH ARTICLE • TIER B FINDINGS
ROUTING RESEARCH • EXP-06-ROUTING

Why Lower Circuit Depth Did Not Guarantee Better Physical Fidelity

Lessons from a 156-qubit hardware-aware dynamic routing study on IBM Heron.
BY: Q-Psi Research Team
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HARDWARE: ibm_marrakesh (156Q Heron r2)
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JOB ID: da1t22mg52gs73cm31i0

1. The Depth Reduction Hypothesis

In quantum circuit compilation, long-range entangling operations typically require linear chains of SWAP gates, expanding two-qubit gate depth as \(O(D)\) where \(D\) is the physical distance on the processor lattice. Dynamic feed-forward circuits, by contrast, use mid-circuit measurement and classical feed-forward to execute teleportation-style routing in constant \(O(1)\) two-qubit gate depth regardless of distance.

We tested whether this constant-depth advantage translates to superior physical Bell-state fidelity on IBM Quantum's 156-qubit Heron architecture (ibm_marrakesh, 18,432 shots).

2. Empirical Findings Across 3 Distances

SHORT DISTANCE (3 HOPS): UNITARY WON
Unitary SWAP fidelity: 0.8618 vs. Dynamic feed-forward: 0.8209 (Δ = -0.0409, p < 0.001). Unitary routing physically won.
MEDIUM DISTANCE (7 HOPS): UNITARY WON
Unitary SWAP fidelity: 0.8135 vs. Dynamic feed-forward: 0.7651 (Δ = -0.0484, p < 0.001). Unitary routing physically won.
LONG DISTANCE (13 HOPS): INCONCLUSIVE
Dynamic routing preserved 2Q depth of 2 vs. unitary depth of 73. However, measured Bell fidelity difference remained inconclusive (0.6669 vs 0.6356, Δ = -0.0314, 95% CI: [-0.0630, +0.0005]).

3. Physical Takeaway: Measurement & Reset Latency

Mid-circuit measurement and qubit reset on superconducting hardware are significantly slower and noisier than single-qubit microwave gates. On IBM Heron r2, the error penalty of dynamic ancilla operations exceeded the cumulative decoherence of up to 7 SWAP gates.

Q-Psi's pre-QPU calibration cost model correctly predicted both conclusive outcomes (2/2 confirmed).

FORMAL RESEARCH NOTE: Dynamic Routing Research Note
RAW RESULTS SHA256: 6c8527a9854651585d5262b3c2399e612573906281ec030eef3be0005dbf83f0