Finding hidden shift of bent functions using the Azure Quantum service

This sample demonstrates how to use Q# and Azure Quantum together to learn the hidden shift of bent functions.

This sample is implemented as a standalone executable, such that no C# or Python host is needed. The program takes one command-line option, --n-qubits, to control the number of qubits used to sample a random number.

Running the sample on a local simulator

dotnet run -- --simulator QuantumSimulator --pattern-int 6 --register-size 3

Running the sample on Azure Quantum

Make sure that you have created and selected a quantum workspace, and then run the following at the command line, substituting TARGET with the target that you would like to run against (e.g.: ionq.qpu or quantinuum.qpu.h1):

az quantum execute --target-id TARGET -- --pattern-int 6 --register-size 3

For a full list of available quantum computing targets, run:

az quantum target list --output table

This sample makes use of paid services on Azure Quantum. The cost of running this sample with the provided parameters on IonQ in a Pay-As-You-Go subscription is approximately $1-$2 USD (or the equivalent amount in your local currency). This quantity is only an approximate estimate and should not be used as a binding reference. The cost of the service might vary depending on your region, demand and other factors.

Manifest

• HiddenShift.csproj: Main Q# project file for this sample.
• HiddenShift.qs: Main Q# program for this sample.
• hidden-shift.ipynb: Python + Qiskit version demonstrating usage with the Azure Quantum service.