random16 - circuit+cooling

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Evaluation

Study notes · 15_random16index

19.6 ms (jones) / 16.2 ms (transport) · 1.0 ions per transport instruction · R10: Lean checker + tableau

32 traps on a random expander: short paths, no drawing. LER per round 0.00e+00, 95% interval 0.0e+00 to 3.8e-06 (0 errors in 200,000 shots)

or open #step=N

From ions to noise: the stim programdownload .stim

LER per round 0.00e+00 (95%: 0.00e+00 to 3.84e-06)

0 logical errors in 200,000 shots of 5 rounds, decoder pymatching, seed 20260928; noise model qccd-noise@1. The stim circuit below has 24 detectors and 9 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`	0.0736	37%
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`	0.0040	2%
A wrong readout + A wrong readout, in the X basis	`X_ERROR, Z_ERROR`	0.0400	20%
A wrong reset	`X_ERROR`	0.0800	40%
Dephasing while the clock runs	`Z_ERROR`	0.0001	0%
total		0.1977

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.