# WireError: No mapping for wire label 0 specified in wire map OrderedDict(\[(tensor(18, requires\_grad=True), 0)\]). The above exception was the direct cause of the following exception: **URL:** \ **Category:** PennyLane Help\ **Created:** [June 30, 2022, 1:25am UTC](https://discuss.pennylane.ai/t/wireerror-no-mapping-for-wire-label-0-specified-in-wire-map-ordereddict-tensor-18-requires-grad-true-0-the-above-exception-was-the-direct-cause-of-the-following-exception/2003 "2022-06-30T01:25:30Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![RX1](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/rx1/32/698_2.png) [@RX1](https://discuss.pennylane.ai/u/RX1)\ **Post date:** [June 30, 2022, 1:25am UTC](https://discuss.pennylane.ai/t/wireerror-no-mapping-for-wire-label-0-specified-in-wire-map-ordereddict-tensor-18-requires-grad-true-0-the-above-exception-was-the-direct-cause-of-the-following-exception/2003/1 "2022-06-30T01:25:30Z")
How to fix this, I tried the suggestions in github still no solution 1：[https://github.com/PennyLaneAI/pennylane/issues/1459](https://github.com/PennyLaneAI/pennylane/issues/1459) 2：WireError Traceback (most recent call last) File d:\miniconda3\lib\site-packages\pennylane\_device.py:369, in Device.map\_wires(self, wires) 368 try: –\> 369 mapped\_wires = wires.map(self.wire\_map) 370 except WireError as e: File d:\miniconda3\lib\site-packages\pennylane\wires.py:273, in Wires.map(self, wire\_map) 272 if w not in wire\_map: –\> 273 raise WireError(f"No mapping for wire label {w} specified in wire map {wire\_map}.") 275 new\_wires = [wire\_map[w] for w in self] WireError: No mapping for wire label 0 specified in wire map OrderedDict([(tensor(18, requires\_grad=True), 0)]). The above exception was the direct cause of the following exception: WireError Traceback (most recent call last) Input In [11], in \() 136 costs\_rotosolve = 137 for i in range(n\_steps): –\> 139 costs\_rotosolve.append(cost(params\_rsol, wires)) 140 params\_rsol = rotosolve\_cycle(cost, params\_rsol) 142 params\_gd = init\_params.copy() Input In [11], in cost(params, wires) 89 def cost(params, wires): —\> 90 Z = circuit(params, wires) 91 return Z File d:\miniconda3\lib\site-packages\pennylane\qnode.py:576, in QNode. **call** (self, \*args, \*\*kwargs) 569 using\_custom\_cache = ( 570 hasattr(cache, “ **getitem** ”) 571 and hasattr(cache, “ **setitem** ”) 572 and hasattr(cache, “ **delitem** ”) 573 ) 574 self.\_tape\_cached = using\_custom\_cache and self.tape.hash in cache –\> 576 res = qml.execute( 577 [self.tape], 578 device=self.device, 579 gradient\_fn=self.gradient\_fn, 580 interface=self.interface, 581 gradient\_kwargs=self.gradient\_kwargs, 582 override\_shots=override\_shots, 583 \*\*self.execute\_kwargs, 584 ) 586 if autograd.isinstance(res, (tuple, list)) and len(res) == 1: 587 # If a device batch transform was applied, we need to ‘unpack’ 588 # the returned tuple/list to a float. (…) 595 # TODO: find a more explicit way of determining that a batch transform 596 # was applied. 598 res = res[0] File d:\miniconda3\lib\site-packages\pennylane\interfaces\execution.py:409, in execute(tapes, device, gradient\_fn, interface, mode, gradient\_kwargs, cache, cachesize, max\_diff, override\_shots, expand\_fn, max\_expansion, device\_batch\_transform) 402 interface\_name = [k for k, v in INTERFACE\_NAMES.items() if interface in v][0] 404 raise qml.QuantumFunctionError( 405 f"{interface\_name} not found. Please install the latest " 406 f"version of {interface\_name} to enable the ‘{interface}’ interface." 407 ) from e –\> 409 res = \_execute( 410 tapes, device, execute\_fn, gradient\_fn, gradient\_kwargs, \_n=1, max\_diff=max\_diff, mode=\_mode 411 ) 413 return batch\_fn(res) File d:\miniconda3\lib\site-packages\pennylane\interfaces\autograd.py:64, in execute(tapes, device, execute\_fn, gradient\_fn, gradient\_kwargs, \_n, max\_diff, mode) 58 tape.trainable\_params = qml.math.get\_trainable\_indices(params) 60 parameters = autograd.builtins.tuple( 61 [autograd.builtins.list(t.get\_parameters()) for t in tapes] 62 ) —\> 64 return \_execute( 65 parameters, 66 tapes=tapes, 67 device=device, 68 execute\_fn=execute\_fn, 69 gradient\_fn=gradient\_fn, 70 gradient\_kwargs=gradient\_kwargs, 71 \_n=\_n, 72 max\_diff=max\_diff, 73 )[0] File d:\miniconda3\lib\site-packages\autograd\tracer.py:48, in primitive..f\_wrapped(\*args, \*\*kwargs) 46 return new\_box(ans, trace, node) 47 else: —\> 48 return f\_raw(\*args, \*\*kwargs) File d:\miniconda3\lib\site-packages\pennylane\interfaces\autograd.py:108, in \_execute(parameters, tapes, device, execute\_fn, gradient\_fn, gradient\_kwargs, \_n, max\_diff) 87 “”“Autodifferentiable wrapper around `Device.batch_execute`. 88 89 The signature of this function is designed to work around Autograd restrictions. (…) 105 understand the consequences! 106 “”” 107 with qml.tape.Unwrap(\*tapes): –\> 108 res, jacs = execute\_fn(tapes, \*\*gradient\_kwargs) 110 for i, r in enumerate(res): 112 if isinstance(res[i], np.ndarray): 113 # For backwards compatibility, we flatten ragged tape outputs 114 # when there is no sampling File d:\miniconda3\lib\site-packages\pennylane\interfaces\execution.py:165, in cache\_execute..wrapper(tapes, \*\*kwargs) 161 return (res, ) if return\_tuple else res 163 else: 164 # execute all unique tapes that do not exist in the cache –\> 165 res = fn(execution\_tapes.values(), \*\*kwargs) 167 final\_res = 169 for i, tape in enumerate(tapes): File d:\miniconda3\lib\site-packages\pennylane\interfaces\execution.py:90, in cache\_execute..fn(tapes, \*\*kwargs) 88 def fn(tapes, \*\*kwargs): # pylint: disable=function-redefined 89 tapes = [expand\_fn(tape) for tape in tapes] —\> 90 return original\_fn(tapes, \*\*kwargs) File d:\miniconda3\lib\contextlib.py:79, in ContextDecorator. **call**..inner(\*args, \*\*kwds) 76 @wraps(func) 77 def inner(\*args, \*\*kwds): 78 with self.\_recreate\_cm(): —\> 79 return func(\*args, \*\*kwds) File d:\miniconda3\lib\site-packages\pennylane\_qiskit\qiskit\_device.py:428, in QiskitDevice.batch\_execute(self, circuits) 425 def batch\_execute(self, circuits): 426 # pylint: disable=missing-function-docstring –\> 428 compiled\_circuits = self.compile\_circuits(circuits) 430 # Send the batch of circuit objects using backend.run 431 self.\_current\_job = self.backend.run(compiled\_circuits, shots=self.shots, \*\*self.run\_args) File d:\miniconda3\lib\site-packages\pennylane\_qiskit\qiskit\_device.py:417, in QiskitDevice.compile\_circuits(self, circuits) 413 for circuit in circuits: 414 # We need to reset the device here, else it will 415 # not start the next computation in the zero state 416 self.reset() –\> 417 self.create\_circuit\_object(circuit.operations, rotations=circuit.diagonalizing\_gates) 419 compiled\_circ = self.compile() 420 compiled\_circ.name = f"circ{len(compiled\_circuits)}" File d:\miniconda3\lib\site-packages\pennylane\_qiskit\qiskit\_device.py:230, in QiskitDevice.create\_circuit\_object(self, operations, \*\*kwargs) 218 “”“Builds the circuit objects based on the operations and measurements 219 specified to apply. 220 (…) 226 pre-measurement into the eigenbasis of the observables. 227 “”” 228 rotations = kwargs.get(“rotations”, ) –\> 230 applied\_operations = self.apply\_operations(operations) 232 # Rotating the state for measurement in the computational basis 233 rotation\_circuits = self.apply\_operations(rotations) File d:\miniconda3\lib\site-packages\pennylane\_qiskit\qiskit\_device.py:269, in QiskitDevice.apply\_operations(self, operations) 265 circuits = 267 for operation in operations: 268 # Apply the circuit operations –\> 269 device\_wires = self.map\_wires(operation.wires) 270 par = operation.parameters 272 for idx, p in enumerate(par): File d:\miniconda3\lib\site-packages\pennylane\_device.py:371, in Device.map\_wires(self, wires) 369 mapped\_wires = wires.map(self.wire\_map) 370 except WireError as e: –\> 371 raise WireError( 372 f"Did not find some of the wires {wires} on device with wires {self.wires}." 373 ) from e 375 return mapped\_wires WireError: Did not find some of the wires \ on device with wires \. ---
**Author:** ![RX1](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/rx1/32/698_2.png) [@RX1](https://discuss.pennylane.ai/u/RX1)\ **Post date:** [June 30, 2022, 1:38am UTC](https://discuss.pennylane.ai/t/wireerror-no-mapping-for-wire-label-0-specified-in-wire-map-ordereddict-tensor-18-requires-grad-true-0-the-above-exception-was-the-direct-cause-of-the-following-exception/2003/2 "2022-06-30T01:38:24Z")
![image](https://canada1.discourse-cdn.com/flex012/uploads/pennylane/original/2X/f/f7612da6904c3cdb1193ab7bb18fef83b52c8247.png) ---
**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\ **Post date:** [June 30, 2022, 6:47pm UTC](https://discuss.pennylane.ai/t/wireerror-no-mapping-for-wire-label-0-specified-in-wire-map-ordereddict-tensor-18-requires-grad-true-0-the-above-exception-was-the-direct-cause-of-the-following-exception/2003/3 "2022-06-30T18:47:17Z")
Hi @RX1, Thank you for posting this here. Could you please copy-paste your full code? The image you pasted is not enough to reproduce the problem.