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[https://github.com/SnowflurrySDK/Snowflurry.jl/ Snowflurry] is an open-source quantum computing library developed in  [[Julia]] by [https://anyonsys.com/ Anyon Systems] that allows you to build, simulate, and run quantum circuits. A related library called [https://github.com/SnowflurrySDK/SnowflurryPlots.jl/ SnowflurryPlots] allows you to visualize the simulation results in a bar chart. Useful to explore quantum computing, its features are described in the [https://snowflurrysdk.github.io/Snowflurry.jl/dev/index.html documentation] and the [https://github.com/SnowflurrySDK/Snowflurry.jl installation guide is available on the GitHub page]. Like the [[PennyLane/en|PennyLane]] library, Snowflurry can be used to run quantum circuits on the [[MonarQ/en|MonarQ]] quantum computer.
Developed in [[Julia/en|Julia]] by [https://anyonsys.com/ Anyon Systems], [https://github.com/SnowflurrySDK/Snowflurry.jl/ Snowflurry] is an open-source quantum computing library to build, simulate and run quantum circuits. A related library called [https://github.com/SnowflurrySDK/SnowflurryPlots.jl/ SnowflurryPlots] shows simulation results in a bar graph. Useful to explore quantum computing, its features are described in the [https://snowflurrysdk.github.io/Snowflurry.jl/dev/index.html documentation]   and the [https://github.com/SnowflurrySDK/Snowflurry.jl installation guide is available on the GitHub page]. Like the [[PennyLane/en|PennyLane]] library, Snowflurry can be used to run quantum circuits on the [[MonarQ/en|MonarQ]] quantum computer.
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Revision as of 20:37, 24 October 2024

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Snowflurry is an open-source quantum computing library developed in Julia by Anyon Systems that allows you to build, simulate, and run quantum circuits. A related library called SnowflurryPlots allows you to visualize the simulation results in a bar chart. Useful to explore quantum computing, its features are described in the documentation and the installation guide is available on the GitHub page. Like the PennyLane library, Snowflurry can be used to run quantum circuits on the MonarQ quantum computer.

Installation

The quantum computer simulator with Snowflurry is available on all of our clusters. The Julia programming language must be loaded before accessing Snowflurry.

Question.png
[name@server ~]$ module load julia

The Julia programming interface is then called and the Snowflurry quantum library is loaded (about 5-10 minutes) with the commands

Question.png
[name@server ~]$ julia
julia> import Pkg
julia> Pkg.add(url="https://github.com/SnowflurrySDK/Snowflurry.jl", rev="main")
julia> Pkg.add(url="https://github.com/SnowflurrySDK/SnowflurryPlots.jl", rev="main")
julia> using Snowflurry

Quantum logic gates and commands are described in the Snowflurry documentation.

Use case: Bell states

Bell states are maximally entangled two-qubit states. They are simple examples of two quantum phenomena: superposition and entanglement. The Snowflurry library allows you to construct the first Bell state as follows:

Question.png
[name@server ~]$ julia
julia> using Snowflurry
julia> circuit=QuantumCircuit(qubit_count=2);
julia> push!(circuit,hadamard(1));
julia> push!(circuit,control_x(1,2));
julia> print(circuit)
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Quantum Circuit Object:
   qubit_count: 2 
q[1]:──H────*──
            ¦ 
q[2]:───────X──

In the above code section, the Hadamard gate creates an equal superposition of |0⟩ and |1⟩ on the first qubit while the CNOT gate (controlled X gate) creates an entanglement between the two qubits. We find an equal superposition of states |00⟩ and |11⟩, which is the first Bell state. The simulate function allows us to simulate the exact state of the system.

 julia> state = simulate(circuit)
 julia> print(state)   
 4-element Ket{ComplexF64}:
 0.7071067811865475 + 0.0im
 0.0 + 0.0im
 0.0 + 0.0im
 0.7071067811865475 + 0.0im


The readout operation lets you specify which qubits will be measured. The plot_histogram function from the SnowflurryPlots library allows you to visualize the results.

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[name@server ~]$ julia
julia> using SnowflurryPlots
julia> push!(circuit, readout(1,1), readout(2,2))
julia> plot_histogram(circuit,1000)
Résultats de 1000 simulations de l'état de Bell.