static void Main(string[] args)
{
var size = 30;
var N = size * size;
var csv = new StringBuilder();
csv.AppendLine("temp,mean_energy,energy_std,mean_spin,spin_std");
var temps = Enumerable.Range(2, 400);
foreach (var x in temps)
{
double temp = Convert.ToDouble(x) / 100;
var iss = new Ising(size);
var res = iss.MCSteps(temp, 150 * N);
if (res.Item1.Any() && res.Item2.Any())
{
var mean_energy = res.Item1.Average() / N;
var energy_std = res.Item1.StandardDeviation() / N;
var mean_spin = res.Item2.Average() / N;
var spin_std = res.Item2.StandardDeviation() / N;
csv.AppendLine($"{temp},{mean_energy},{energy_std},{mean_spin},{spin_std}");
}
}
File.WriteAllText("data.csv", csv.ToString());
}
public static void Run(Ising system, StdMt19937 randomNumberEngine, ScheduleList scheduleList)
{
if (system == null)
{
throw new ArgumentNullException(nameof(system));
}
if (randomNumberEngine == null)
{
throw new ArgumentNullException(nameof(randomNumberEngine));
}
if (scheduleList == null)
{
throw new ArgumentNullException(nameof(scheduleList));
}
system.ThrowIfDisposed();
randomNumberEngine.ThrowIfDisposed();
scheduleList.ThrowIfDisposed();
if (!UpdaterElementTypesRepository.SupportTypes.TryGetValue(typeof(T), out var types))
{
throw new NotSupportedException($"{typeof(T).Name} does not support");
}
if (types.Item2 != system.IsingType)
{
throw new NotSupportedException($"{typeof(T).Name} supports only {system.IsingType}");
}
if (types.Item3 != system.GraphType)
{
throw new NotSupportedException($"{typeof(T).Name} supports only {system.GraphType}");
}
if (types.Item4 != system.FloatType)
{
throw new NotSupportedException($"{typeof(T).Name} supports only {system.FloatType}");
}
var updaterType = types.Item1;
var ret = NativeMethods.algorithm_Algorithm_run(updaterType,
system.NativePtr,
system.IsingType,
system.GraphType,
system.FloatType,
randomNumberEngine.NativePtr,
scheduleList.NativePtr);
}
public static Spins GetSolution(Ising system)
{
if (system == null)
{
throw new ArgumentNullException(nameof(system));
}
system.ThrowIfDisposed();
var ret = NativeMethods.result_get_solution(system.NativePtr,
system.IsingType,
system.GraphType,
system.FloatType,
out var spins);
using (var vector = new StdVector <int>(spins))
return(new Spins(vector.ToArray().Select(v => new Spin(v))));
}
static void Main(string[] args)
{
#region Basic Definitions
// We start by loading the simulator that we will use to run our Q# operations.
var qsim = new QuantumSimulator();
// For this example, we'll consider a chain of twelve sites, each one of which
// is simulated using a single qubit.
var nSites = 12;
// We'll sweep from the transverse to the final Hamiltonian in time t = 10.0,
// where the units are implicitly fixed by the units of the Hamiltonian itself.
var sweepTime = 10.0;
// Finally, we'll then decompose the time evolution down into small steps.
// During each step, we'll perform each term in the Hamiltonian individually.
// By the Trotter–Suzuki decomposition (also implemented in the canon), this
// approximates the complete Hamiltonian for the entire sweep time.
//
// If we choose the evolution time carefully, we should prepare the ground
// state of our final Hamiltonian (see the references in README.md for more
// details).
var timeStep = 0.1;
// For diagnostic purposes, before we proceed to the next step, we'll print
// out a description of the parameters we just defined.
Console.WriteLine("Ising model ground state preparation:");
Console.WriteLine($"\t{nSites} sites\n\t{sweepTime} sweep time\n\t{timeStep} time step");
#endregion
#region Calling into Q#
// Now that we've defined everything we need, let's proceed to
// actually call the simulator. Since there's a finite chance of successfully
// preparing the ground state, we will call our new operation through
// the simulator several times, reporting the magnetization after each attempt.
foreach (var idxAttempt in Enumerable.Range(0, 100))
{
// Each operation has a static method called Run which takes a simulator as
// an argument, along with all the arguments defined by the operation itself.
var task = Ising.Run(qsim, nSites, sweepTime, timeStep);
// Since this method is asynchronous, we need to explicitly
// wait for the result back from the simulator. We do this by
// getting the Result property. To turn the result back into a
// conventional .NET array, we finish by calling ToArray() and
// using a C# lambda function to convert each Result into a
// floating point number representing the observed spin.
var data = task.Result.ToArray().Select((result) => result == Result.One ? 0.5 : -0.5);
// We can now compute the magnetization entirely in C# code,
// since data is an array of the classical measurement results
// observed back from our simulation.
var magnetization = data.Sum();
Console.WriteLine($"Magnetization observed in attempt {idxAttempt}: {magnetization}");
}
#endregion
Console.ReadLine();
}
public IsingTests()
{
iss = new Ising(size);
}