grid9x9 - circuit+cooling

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Study notes · 08_grid9x9index

39.1 ms (jones) / 31.5 ms (transport) · 1.5 ions per transport instruction · not buildable · R10: Lean checker + tableau

traps on the wires of a 9x9 junction grid. LER per round 4.88e-04, 95% interval 4.3e-04 to 5.6e-04 (205 errors in 140,000 shots)

or open #step=N

From ions to noise: the stim programdownload .stim

LER per round 4.88e-04 (95%: 4.26e-04 to 5.60e-04)

205 logical errors in 140,000 shots of 3 rounds, decoder pymatching, seed 20260928; noise model qccd-noise@1. The stim circuit below has 24 detectors and 17 qubits, one per ion. Highest n̄ at a two-qubit gate: 0; longest chain at a gate: 2.

where the error comes from	stim	expected errors	share
The two-ion gate (ms_base)	`DEPOLARIZE2`	0.1325	48%
The two-ion gate (ms_heating)	`DEPOLARIZE2`	0.0000	0%
The two-ion gate (ms_chain)	`DEPOLARIZE2`	0.0000	0%
A one-ion pulse	`DEPOLARIZE1`	0.0078	3%
A wrong readout + A wrong readout, in the X basis	`X_ERROR, Z_ERROR`	0.0528	19%
A wrong reset	`X_ERROR`	0.0800	29%
Dephasing while the clock runs	`Z_ERROR`	0.0006	0%
total		0.2736

Hover a row for the clauses of the noise model's text that book it; the noise model, clause by clause, and every term it uses on the Evaluation page. Red lines below are noise. Each block is one hardware instruction: click it to move the animation there; the block of the current step is highlighted as the program plays.