How to use qiskit-machine-learning with real IBM backends?
I am using EstimatorQNN
and NeuralNetworkClassifier
from qiskit-machine-learning library for image recognition on quantum computers, following the tutorial the tutorial here. I am trying to find a way to run this setup on a real IBM backend (not locally on a simulator). However, after spending several hours, I haven’t found a clear solution.
How to use qiskit-machine-learning with real IBM backends?
I am using EstimatorQNN
and NeuralNetworkClassifier
from qiskit-machine-learning library for image recognition on quantum computers, following the tutorial the tutorial here. I am trying to find a way to run this setup on a real IBM backend (not locally on a simulator). However, after spending several hours, I haven’t found a clear solution.
How to use qiskit-machine-learning with real IBM backends?
I am using EstimatorQNN
and NeuralNetworkClassifier
from qiskit-machine-learning library for image recognition on quantum computers, following the tutorial the tutorial here. I am trying to find a way to run this setup on a real IBM backend (not locally on a simulator). However, after spending several hours, I haven’t found a clear solution.
How to use qiskit-machine-learning with real IBM backends?
I am using EstimatorQNN
and NeuralNetworkClassifier
from qiskit-machine-learning library for image recognition on quantum computers, following the tutorial the tutorial here. I am trying to find a way to run this setup on a real IBM backend (not locally on a simulator). However, after spending several hours, I haven’t found a clear solution.
Is there a way to specify or retrieve the number of shots from a qiskit StatevectorEstimator?
In Qiskit 1.2, Sampler and Estimator objects are getting phased out. When trying to replace them with the newest StatevectorSampler and StatevectorEstimator, StatevectorSampler cause no issues but the transition to StatevectorEstimator is not seamless.
Qiskit Grover search with QasmSimulator
I’m working through a Qiskit tutorial on Grover search. Unfortunately it was published in 2023 and the tutorial’s version of Qiskit (earlier than v1.00) is now out of date. I tried to rewrite the code in section “More Than One Marked Element” using Qiskit v1.0.2 with some success:
Platform for running Quantum Machine Learning codes using Qiskit library [closed]
Closed 4 days ago.
Difference among simulator, sampler and estimator
In Qiskit, there are several methods to execute a quantum circuit and get measurement results in a local environment, including simulators (such as AerSimulator, QasmSimulator, Statevector, and fake series), samplers, and estimators.
cannot import name ‘execute’ from ‘qiskit’
I’m new to quantum computing and am currently working on building a quantum multiplication calculator. I’ve installed all the necessary packages, but I’m still encountering an ImportError. Here are the details:
Error on running with layout_method=”trivial” on qiskit 1.1.0
The layout_method=”trivial” which is one of the parameter for the pass manager is always providing a errored result even on statevector simulator.