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Are there any theoretical problems related to quantum computing (e.g. how to combine the gates to achieve something special) that needs to be solved by a quantum computer itself?

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Is there or do we need a theory of quantum (optimal) control?

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What is quantum game theory about?

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Does it make sense to work on quantum problems in a "modular" way, for example work on design of quantum algorithms and assuming that someone will design the physical machine that implements it?

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If I got it right, the quantum computer can both be viewed as a device for computing control actions or be seen as a "noisy" plant, what have been done in each approach?

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How to get an intuition or evaluate what algorithms have potential for quantum advantage? Do any accessible method exists?

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How do trapped ions, superconducting circuits and other methods differ and what are the advantages of using one method over the other?

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Stability analysis of a gate, can we leverage Lyapunov theory to suppress the noise over the quantum lines.

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Do you think we will see practical use for quantum computing in our research any time soon?

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Understanding Variational random applications better and how it works for combinatorial optimization

Why does the trapped ion a qubic instead of approximating ?

How is the ground truth known to compute the error in measurement? What is the factual value that allows you to know that you have an error?

Timescale of computation?

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Is it easier to get funding with quantum? Could it fit into Nccr phase three?

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What is the biggest issue in controlling a QC? Is it the noise or control of lasers or something else?

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Can you share your slides of the first part?

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What is the advantage of quantum control and quantum computing? Or, what we are hoping to achieve?

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Is quantum computer relevant to the question P = NP?

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Is there a kind of basic operation (such as Fourier transforms) that could highly benefit from quantum systems?

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Are the any connections to the observability and controllability concepts in control theory?

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Does Moore’s Law apply?

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1) Applications today

2) Side by side comparison

3) Physical interpretation

4) Control problems?

5) Specific examples of research works to better understand the state of research and type of research

6) does something change for quantum control theory compared to classical control?

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What is a typical "signature" of a problem that admits (or might admit one day) a superior quantum (re)formulation?

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How does one implement and deploy a quantum control problem?

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Would computations for power systems be a potential application (the relevant expressions are nonlinear)?

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What kind of the algorithms we can run on the quantum computer and which one is outperform compared with the classic computer? How to verify the results of the algorithms?

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Which relevant control problems have already been solved with Quantum Computing and how does the performance compare to classical computers?

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I would like to understand better how a quantum system is represented mathematically from input to output.

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What at are the relevant control problems where quantum control has an edge, and why exactly?