342Circuits
8Trotter Depths
+17.5%Peak Asymmetry
<10−16Fisher combined p
21Max Reps / Point
1.67%Readout baseline

Plain-Language Summary

IBM's Heron r2 quantum processor was asked to simulate the same small oscillator network starting from two subtly different initial configurations. Mathematically the two configurations sit in two different “symmetry sectors” of the system, and the governing XY Hamiltonian is supposed to preserve which sector you are in. On a real noisy device, the circuit leaks out of its sector as it runs. We measured the size of that leak for 342 circuits across 8 increasingly deep Trotter steps. One sector leaks noticeably less than the other — by up to 17.5 % at the cleanest depth — and the effect is statistically overwhelming (Fisher's combined p is below numerical precision). This is the first time anyone has directly seen the dynamical Lie algebra parity asymmetry on quantum hardware.

What it means: the two halves of the XY Hamiltonian's dynamical Lie algebra are not equally friendly to today's noisy qubits. That is useful, because it tells error-mitigation schemes which sector to trust and how to calibrate. The observed magnitude also lands inside the 4.5–9.6 % range independently predicted by our classical Rust simulator, so it is not a calibration artefact of one device.

Figure 1 — Parity Leakage vs Trotter Depth

Parity leakage rate in the even and odd sectors as a function of Trotter depth, showing smooth monotonic rise from 8% at depth 2 to 28% at depth 30, with the odd sector systematically below the even sector.

Figure 1. Parity leakage rate in the even (red) and odd (blue) sectors as a function of Trotter depth on ibm_kingston. Error bars are 1σ standard errors of the mean from 12–21 independent repetitions per point (2048 shots each). The monotonic rise from ≈8 % at depth 2 to ≈28 % at depth 30 is the noise-calibration signal used to tune the GUESS mitigation scheme for the Phase 2 campaign.

Figure 2 — Relative Asymmetry

Relative asymmetry A(d) with propagated 1-sigma error bars, peaking at +17.5% at depth 6 and settling into the 4.5-9.6% prediction band at larger depths.

Figure 2. Relative asymmetry $A(d) = (L_\text{even} - L_\text{odd})/L_\text{odd}$ with propagated 1σ error bars. Green band: 4.5–9.6 % prediction from the apriori classical Lindblad simulator (calibrated with the published ibm_fez $T_1/T_2$ and gate-error rates — an ideal noiseless simulator would predict zero leakage exactly). The signal peaks at +17.5 % in the coherent transition regime (depths 4–10) and settles into the predicted band at larger depths where the circuit saturates.

Figure 3 — Interactive Leakage Plot

Hover over any data point for exact values, 95 % CI, Welch p, and repetition count. Double-click to reset zoom.

Full Statistical Table

Depth $d$ Reps $L_\text{even}$ $L_\text{odd}$ $A(d)$ Welch $t$ Welch $p$
2120.0806 ± 0.00170.0827 ± 0.0021−2.5%−0.780.446
4210.0982 ± 0.00170.0862 ± 0.0011+14.0%5.801.4×10−6
6210.1291 ± 0.00310.1099 ± 0.0018+17.5%5.376.6×10−6
8210.1443 ± 0.00310.1284 ± 0.0017+12.4%4.508.9×10−5
10210.1658 ± 0.00220.1495 ± 0.0023+10.9%5.186.7×10−6
14210.1898 ± 0.00310.1797 ± 0.0020+5.6%2.730.010
20120.2295 ± 0.00470.2114 ± 0.0038+8.6%3.010.007
30120.2771 ± 0.00570.2576 ± 0.0037+7.6%2.890.010

Leakage values are mean ± standard error of the mean. Welch's two-sample t-test with unequal variances over individual repetitions. Fisher's combined statistic across depths: $\chi^2_{16} = 123.4$, $p < 10^{-16}$. Seven of eight depths are individually significant at $p < 0.05$.

Methodology

XY Hamiltonian
$H_{XY} = \sum_{i<j} K_{ij} (\sigma_i^x \sigma_j^x + \sigma_i^y \sigma_j^y) + \sum_i \omega_i Z_i$. Coupling $K_{ij} = 0.45\, e^{-0.3|i-j|}$. First-order Trotter step $t_\text{step} = 0.3$. Four qubits.
Initial states
Even sector (popcount 2, $P = +1$): $|0011\rangle$. Odd sector (popcount 1, $P = -1$): $|0001\rangle$. Each sector measured independently at every depth.
Parity leakage
$L(d) = N^{-1}_\text{shots} \sum_{b \in \mathcal{B}_{\neq P}} n(b)$. Ideal value is zero because $[H_{XY}, P] = 0$. Any non-zero value is a direct measure of hardware decoherence projected on the parity observable.
DynQ placement
Topology-agnostic qubit placement (arXiv:2601.19635) selected the four lowest-error qubits on ibm_kingston via single-qubit gate + readout + T1/T2 scoring. See method deep-dive.
GUESS calibration
The measured leakage profile directly calibrates the symmetry-guided ZNE scheme (arXiv:2603.13060) for the Phase 2 campaign. For the XY Hamiltonian this is shot-budget-free because the symmetry observable $\sum_i Z_i$ is measured in the same Z-basis run. See GUESS deep-dive.
Readout baseline
Independent Experiment C: mean retention 98.3 % across $\{|0000\rangle, |1111\rangle, |0101\rangle, |1010\rangle\}$. Per-state range 97.6–99.0 %. Mean readout error (1.67 ± 0.3) %. Too small by an order of magnitude to explain the 10–17 % middle-depth asymmetry.

Reproducibility

Everything below is pinned to commit 1b60f7b

Data files (342 circuits across 4 sub-phases):

data/phase1_dla_parity/phase1_bench_2026-04-10T183728Z.json # 42 circuits
data/phase1_dla_parity/phase1_5_reinforce_2026-04-10T184909Z.json # 72 circuits
data/phase1_dla_parity/phase2_exhaust_2026-04-10T185634Z.json # 138 circuits
data/phase1_dla_parity/phase2_5_final_burn_2026-04-10T190136Z.json # 90 circuits

IBM Quantum job IDs (backend = ibm_kingston):

d7ck79m5nvhs73a4nr10 # phase1_bench, t_step=0.3
d7ck7hb0g7hs73dqvbg0 # phase1_bench, t_step=0.3
d7ckcrh5a5qc73dosbmg # phase1_5_reinforce
d7ckft95a5qc73doseu0 # phase2_exhaust
d7ckide5nvhs73a4o780 # phase2_5_final_burn

Rerun the full analysis:

git checkout 1b60f7b
pip install -e ".[dev,ibm,rust]"
python scripts/analyse_phase1_dla_parity.py

This regenerates both figures and the summary JSON at figures/phase1/. Total wall time < 10 seconds on a modern laptop. See the full reproducibility manifest for environment details, Rust toolchain, and Qiskit pinning.

How to Cite

@misc{sotek2026dlaparityibm, author = {Šotek, Miroslav}, title = {Hardware observation of dynamical Lie-algebra parity asymmetry in the XY Hamiltonian on IBM Heron r2}, year = {2026}, month = {apr}, howpublished = {\url{https://anulum.li/scpn-quantum-control/phase1-results.html}}, note = {Phase 1 campaign on ibm\_kingston, 342 circuits, git commit 1b60f7b}, orcid = {0009-0009-3560-0851}, }

A short paper (paper/phase1_dla_parity_short_paper.md in the repository) is being prepared for submission to Quantum Science and Technology or Physical Review Research. This page will be updated with the DOI once the preprint is posted.

Phase 2 — What Comes Next

Blocked on IBM 180-minute promotional allocation

A follow-up campaign is ready to run but is waiting for a 180-minute promotional allocation to become active on the account. The blocker is tracked with Dr Berk Kovos (IBM Quantum Solutions Strategy Lead). Expected resolution: mid-April 2026. The prepared Phase 2 protocol extends the present work in three directions:

  • Higher statistics at $n=4$: 30 reps per point across ten depths $\{2, 4, 6, 8, 10, 14, 20, 30, 40, 50\}$ to drive individual per-depth uncertainty below 0.5 %.
  • Scaling law: dedicated sweeps at $n \in \{6, 8, 10, 12\}$ with 20, 15, 12, and 8 reps per point to measure the asymmetry as a function of system size for the first time.
  • GUESS mitigation calibration: noise-scaled sub-sweep at $n = 4$ with circuit folding factors $g \in \{1, 3, 5\}$ to calibrate the symmetry-guided extrapolation scheme using the measured parity leakage itself as the symmetry observable.

Total budget: ~1,200 circuits, estimated 11 minutes of QPU runtime at the observed 0.55 s per circuit rate. Independent replication on a second Heron r2 device (e.g. ibm_marrakesh) is planned within the same allocation.

Related Pages

The mathematical derivation and classical prediction behind the asymmetry.
How the Phase 1 noise profile calibrates physics-informed ZNE for Phase 2.
Full environment, commit hashes, and step-by-step rerun instructions.
How this result sits in the longer SCPN-Quantum-Control programme.