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A library of quantum algorithms for Qiskit.

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### What should we add? Qiskit terra interface for [CMA-ES](https://cma-es.github.io/) which is a stochastic derivative-free numerical optimization algorithm, observed in [arXiv:2111.13454](https://arxiv.org/abs/2111.13454) to be on par with and sometimes outperforming SPSA...

### What should we add? ### Environment - **Qiskit Terra version**: 0.22.2 - **Python version**: 3.9.13 - **Operating system**: macOS ### What is happening? Wrong answer when using ` MaximumLikelihoodAmplitudeEstimationwith...

bug

### What should we add? ### What should we add? ## The Problem When prototyping or debugging non-quantum parts of the stack I often find myself getting back to the...

### What should we add? In the [IAE algorithm](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/algorithms/amplitude_estimators/iae.py), on line 478, shouldn't the probability prob be replaced by round_one_counts/round_shots? In the case where the data from different iterations with...

### What should we add? Hello, I would like to suggest two small improvements: - The [EstimationProblem](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/algorithms/amplitude_estimators/estimation_problem.py), when not explicitely given a Grover oracle, automatically produces one. Unfortunately, this standard...

### What should we add? If we want to evaluate a set of expectation values for the same observables and circuits, but with different circuit parameters, we can cache the...

### What should we add? Currently, the NumpyEigensolver implements a `_eval_aux_operators` which evaluates the auxiliary operators on the excited states. Without much effort and using an equality in the form...

### Information - **Qiskit Terra version**: 0.17.1 - **Python version**: 3.8.3 - **Operating system**: macOS 11.2.3 ### What is the current behavior? The confidence_interval of the Max Likelihood Amplitude Estimator...

bug

### What should we add? SPSA is an efficient optimizer that approximates the gradient each iteration using only two evaluations of the cost-function f(theta). These evaluations occur at f(theta+delta) and...

### What should we add? The L-curve solver implemented in `qiskit.opflow.NaturalGradient` is a powerful solver for ill-conditioned linear systems. It determines the required regularization by trading off noise in the...