Working with large circuit

[RRadgohar]

What is your issue?

Good day,
I'm attempting to tackle the QAOA problem on a sparse graph. The code performs effectively when applied to smaller graphs with N=80 nodes. However, when dealing with a larger graph containing 600 nodes and 1800 edges, I encountered the following error. Can anyone provide assistance in resolving this problem?

Traceback (most recent call last):
File /test.py", line 202, in <mod$
circ_ex = qtn.circ_qaoa(terms, p, gammas, betas)

File "/test.py", line 122, in circ$
circ.apply_gates(gates)
File /ENVquimb/lib/python3.9/site-packages/quimb/tensor/circuit$
self.apply_gate(*gate)
File /ENVquimb/lib/python3.9/site-packages/quimb/tensor/circuit$
self.apply_gate(gate, **gate_opts)
File /ENVquimb/lib/python3.9/site-packages/quimb/tensor/circuit$
self.psi.gate(gate.array, gate.qubits, tags=tags, **opts)
File "/ ENVquimb/lib/python3.9/site-packages/quimb/tensor/tensor$
tn.gate_inds_(
File /ENVquimb/lib/python3.9/site-packages/quimb/tensor/tensor_$
dims = [tn.ind_size(ix) for ix in inds]
File "/ENVquimb/lib/python3.9/site-packages/quimb/tensor/tensor_$
dims = [tn.ind_size(ix) for ix in inds]
File /ENVquimb/lib/python3.9/site-packages/quimb/tensor/tensor_$
tid = next(iter(self.ind_map[ind]))
KeyError: 'k100'

[jcmgray]

Hi @RRadgohar, it's hard to tell anything just from the error, maybe you could post a minimal working example?