示例#1
0
        static void Main(string[] args)
        {
            Console.Write("Run QE or VQE? ");
            String runString = Console.ReadLine();

            #region Parameters of Operation
            // filename of the molecule to be emulated

            // var FILENAME = "h2_2_sto6g_1.0au.yaml";
            // var FILENAME = "h4_sto6g_0.000.yaml";
            var FILENAME = "h20_nwchem.yaml";

            // use this state provided in the YAML.
            var STATE = "|G>";

            // the margin of error to use when approximating the expected value
            var MOE = 0.1;

            // precision to iterate over with the state preparation gate
            // the number of trials is directly proportional to this constant's inverse
            // the gate will be applying a transform of the form (2 pi i \phi) where \phi
            // varies by the precision specified below
            var ANGULAR_PRECISION = 0.01;

            Console.WriteLine($"STATE: {STATE} | MOE: {MOE} | PRECISION: {ANGULAR_PRECISION}");

            #endregion

            #region Creating the Hamiltonian and JW Terms

            // create the first hamiltonian from the YAML File
            var hamiltonian = FermionHamiltonian.LoadFromYAML($@"{FILENAME}").First();

            // convert the hamiltonian into it's JW Encoding
            var JWEncoding = JordanWignerEncoding.Create(hamiltonian);

            var data = JWEncoding.QSharpData(STATE);

            #endregion
            #region Hybrid Quantum/Classical accelerator
            // Feed created state and hamiltonian terms to VQE
            if (runString.Equals("VQE"))
            {
                Console.WriteLine("----- Begin VQE Simulation");
            }
            else
            {
                Console.WriteLine("----- Begin QE Simulation");
            }

            using (var qsim = new QuantumSimulator())
            {
                if (runString.Equals("VQE"))
                {
                    string useGroundState;
                    Console.Write("Use ground state? (yes or no): ");
                    useGroundState = Console.ReadLine();

                    var statePrepData = data.Item3; // statePrep data
                    var N             = statePrepData.Length;

                    double convertDoubleArrToJWInputStateArr(double[] x)
                    {
                        var JWInputStateArr = new QArray <JordanWignerInputState>();

                        for (int i = 0; i < N; i++)
                        {
                            var currJWInputState = statePrepData[i];
                            var positions        = currJWInputState.Item2;
                            JWInputStateArr.Add(new JordanWignerInputState(((x[i], 0.0), positions)));
                        }
                        return(Simulate_Variational.Run(qsim, data, 1.0, MOE, JWInputStateArr).Result);
                    }

                    Func <double[], double> Simulate_Wrapper = (double[] x) => convertDoubleArrToJWInputStateArr(x);

                    var solver = new NelderMead((int)N, Simulate_Wrapper);

                    // create initial condition vector
                    var initialConds = new double[N];
                    for (int i = 0; i < N; i++)
                    {
                        if (useGroundState.Equals("yes"))
                        {
                            var currJWInputState = statePrepData[i];
                            var groundStateGuess = currJWInputState.Item1;
                            initialConds[i] = groundStateGuess.Item1;
                        }
                        else
                        {
                            initialConds[i] = 0.0;
                        }
                    }

                    // Now, we can minimize it with:
                    bool success = solver.Minimize(initialConds);

                    // And get the solution vector using
                    double[] solution = solver.Solution;

                    // The minimum at this location would be:
                    double minimum = solver.Value;

                    Console.WriteLine($"Solution converged: {success}");
                    Console.WriteLine("The solution is: " + String.Join(" ", solution));
                    Console.WriteLine($"The minimum is: {minimum}");
                }
                else
                {
                    Console.WriteLine(Simulate.Run(qsim, data, 1.0, MOE).Result);
                }
            }
            #endregion
            #region Classical update scheme
            // Determine how to update the starting state using classical methods
            #endregion
        }
示例#2
0
        static void Main(string[] args)
        {
            // Prompts user whether to run naive eigensolver (QE)
            // or variational eigensolver (VQE)
            // QE will use the ground state provided in Broombridge file (FILENAME, see below)
            // VQE will give the user the option to use the ground state from Broombridge
            // as initial conditions, if not the initial conditions are all zero
            Console.Write("Run QE or VQE? ");
            String runString = Console.ReadLine();

            #region Parameters of Operation
            // filename of the molecule to be emulated
            var FILENAME = "h20_nwchem.yaml";

            // suggested state to include in JW Terms
            var STATE = "|G>";

            // the margin of error to use when approximating the expected value
            // note - our current code currently maxes the number of runs to 50
            // this is to prevent an exponential number of runs required given
            // an arbitrary small margin of error
            // if you'd like to change this parameter, feel free to edit the repeat/until loop
            // in the "FindExpectedValue" method
            var MOE = 0.1;

            #endregion

            #region Creating the Hamiltonian and JW Terms

            // create the first hamiltonian from the YAML File
            var hamiltonian = FermionHamiltonian.LoadFromYAML($@"{FILENAME}").First();

            // convert the hamiltonian into it's JW Encoding
            var JWEncoding = JordanWignerEncoding.Create(hamiltonian);

            // JW encoding data to be passed to Q#
            var data = JWEncoding.QSharpData(STATE);

            #endregion
            #region Hybrid Quantum/Classical accelerator

            // Communicate to the user the choice of eigensolver
            if (runString.Equals("VQE"))
            {
                Console.WriteLine("----- Begin VQE Setup");
            }
            else
            {
                Console.WriteLine("----- Begin QE Simulation");
            }

            using (var qsim = new QuantumSimulator())
            {
                // Block to run VQE
                if (runString.Equals("VQE"))
                {
                    string useGroundState;

                    // we begin by asking whether to use the YAML suggested ground or an ansatz
                    Console.Write("Use ground state? (yes or no): ");
                    useGroundState = Console.ReadLine();

                    // extract parameters for use below
                    var statePrepData = data.Item3;
                    var N             = statePrepData.Length;

                    // We'd like to have a method to create an input state given parameters
                    // method to convert optimized parameters, i.e. the
                    // coefficients of the creation/annihilation operators
                    // to JordanWignerInputStates that can be run in the
                    // simulation defined in Q#
                    double convertDoubleArrToJWInputStateArr(double[] x)
                    {
                        var JWInputStateArr = new QArray <JordanWignerInputState>();

                        for (int i = 0; i < N; i++)
                        {
                            var currJWInputState = statePrepData[i];
                            var positions        = currJWInputState.Item2; // registers to apply coefficients
                            JWInputStateArr.Add(new JordanWignerInputState(((x[i], 0.0), positions)));
                        }
                        return(Simulate_Variational.Run(qsim, data, MOE, JWInputStateArr).Result);
                    }

                    // wrapper function which feeds parameters to be optimized to minimize
                    // the output of the simulation of the molecule defined in FILENAME
                    Func <double[], double> Simulate_Wrapper = (double[] x) => convertDoubleArrToJWInputStateArr(x);

                    // create new Nelder-Mead solver on the simulation of the molecule
                    var solver = new NelderMead((int)N, Simulate_Wrapper);

                    // create initial condition vector
                    var initialConds = new double[N];
                    for (int i = 0; i < N; i++)
                    {
                        if (useGroundState.Equals("yes"))
                        {
                            var currJWInputState = statePrepData[i];
                            var groundStateGuess = currJWInputState.Item1;
                            initialConds[i] = groundStateGuess.Item1;
                        }
                        else
                        {
                            initialConds[i] = 0.0;
                        }
                    }

                    Console.WriteLine("----Beginning computational simulation----");

                    // Now, we can minimize it with:
                    bool success = solver.Minimize(initialConds);

                    // And get the solution vector using
                    double[] solution = solver.Solution;

                    // The minimum at this location would be:
                    double minimum = solver.Value;

                    // Communicate VQE results to the user
                    // success indicates wheter the solution converged
                    // solution is the vector of coefficients for the creation/annihilation
                    // operators defined in positions (defined in convertDoubleArrToJWInputStateArr)
                    // minimum is the value of the minimum energy found by VQE
                    Console.WriteLine($"Solution converged: {success}");
                    Console.WriteLine("The solution is: " + String.Join(" ", solution));
                    Console.WriteLine($"The minimum is: {minimum}");
                }
                else
                { // Run QE 5 times
                    Console.WriteLine(Simulate.Run(qsim, data, MOE, 5).Result);
                }
            }
            #endregion
        }
示例#3
0
        static void Main(string[] args)
        {
            #region Parameters of Operation
            // filename of the molecule to be emulated

            // var FILENAME = "h2_2_sto6g_1.0au.yaml";
            var FILENAME = "h4_sto6g_0.000.yaml";
            // var FILENAME = "h20_nwchem.yaml";

            // use this state provided in the YAML.
            var STATE = "|G>";

            // the margin of error to use when approximating the expected value
            var MOE = 0.1;

            // precision to iterate over with the state preparation gate
            // the number of trials is directly proportional to this constant's inverse
            // the gate will be applying a transform of the form (2 pi i \phi) where \phi
            // varies by the precision specified below
            var ANGULAR_PRECISION = 0.01;

            Console.WriteLine($"STATE: {STATE} | MOE: {MOE} | PRECISION: {ANGULAR_PRECISION}");

            #endregion

            #region Creating the Hamiltonian and JW Terms

            // create the first hamiltonian from the YAML File
            var hamiltonian = FermionHamiltonian.LoadFromYAML($@"{FILENAME}").First();

            // convert the hamiltonian into it's JW Encoding
            var JWEncoding = JordanWignerEncoding.Create(hamiltonian);

            var data = JWEncoding.QSharpData(STATE);

            // Console.WriteLine("----- Print Hamiltonian");
            // Console.Write(hamiltonian);
            // Console.WriteLine("----- End Print Hamiltonian \n");

            #endregion
            #region Hybrid Quantum/Classical accelerator
            // Feed created state and hamiltonian terms to VQE
            Console.WriteLine("----- Begin VQE Simulation");

            //var N = 10; // number of qubits, calculate from data???
            //var oneReal = (1.0, 0.0);
            //var inputCoeffs = new ComplexPolar[N];
            //for (int i = 0; i < Length(inputCoeffs) - 1; i++)
            // {
            //     inputCoeffs[i] = oneReal;
            // }
            ResourcesEstimator estimator = new ResourcesEstimator();
            Simulate.Run(estimator, data, 1.0, MOE).Wait();
            //Aux.Run(estimator).Wait();

            var configCNOT = new QCTraceSimulatorConfiguration();
            configCNOT.useDepthCounter = true;
            configCNOT.gateTimes[PrimitiveOperationsGroups.CNOT]          = 1.0;
            configCNOT.gateTimes[PrimitiveOperationsGroups.Measure]       = 0.0;
            configCNOT.gateTimes[PrimitiveOperationsGroups.QubitClifford] = 0.0;
            configCNOT.gateTimes[PrimitiveOperationsGroups.R]             = 0.0;
            configCNOT.gateTimes[PrimitiveOperationsGroups.T]             = 0.0;

            var traceSimCNOT = new QCTraceSimulator(configCNOT);
            Simulate.Run(traceSimCNOT, data, 1.0, MOE).Wait();

            double cnotDepth = traceSimCNOT.GetMetric <Simulate>(DepthCounter.Metrics.Depth);

            var configT = new QCTraceSimulatorConfiguration();
            configT.useDepthCounter = true;
            configT.gateTimes[PrimitiveOperationsGroups.CNOT]          = 0.0;
            configT.gateTimes[PrimitiveOperationsGroups.Measure]       = 0.0;
            configT.gateTimes[PrimitiveOperationsGroups.QubitClifford] = 0.0;
            configT.gateTimes[PrimitiveOperationsGroups.R]             = 0.0;
            configT.gateTimes[PrimitiveOperationsGroups.T]             = 1.0;

            var traceSimT = new QCTraceSimulator(configT);
            Simulate.Run(traceSimT, data, 1.0, MOE).Wait();

            double tDepth = traceSimT.GetMetric <Simulate>(DepthCounter.Metrics.Depth);

            var configClifford = new QCTraceSimulatorConfiguration();
            configClifford.useDepthCounter = true;
            configClifford.gateTimes[PrimitiveOperationsGroups.CNOT]          = 0.0;
            configClifford.gateTimes[PrimitiveOperationsGroups.Measure]       = 0.0;
            configClifford.gateTimes[PrimitiveOperationsGroups.QubitClifford] = 1.0;
            configClifford.gateTimes[PrimitiveOperationsGroups.R]             = 0.0;
            configClifford.gateTimes[PrimitiveOperationsGroups.T]             = 0.0;

            var traceSimClifford = new QCTraceSimulator(configClifford);
            Simulate.Run(traceSimClifford, data, 1.0, MOE).Wait();

            double cliffordDepth = traceSimClifford.GetMetric <Simulate>(DepthCounter.Metrics.Depth);

            Console.WriteLine(estimator.ToTSV());
            Console.WriteLine($"CNOT depth is {cnotDepth}");
            Console.WriteLine($"T depth is {tDepth}");
            Console.WriteLine($"Clifford depth is {cliffordDepth}");

            #endregion
            #region Classical update scheme
            // Determine how to update the starting state using classical methods
            #endregion
        }
示例#4
0
        static void Main(string[] args)
        {
            #region Parameters of Operation
            // filename of the molecule to be emulated
            var FILENAME = "h2_2_sto6g_1.0au.yaml";
            // var FILENAME = "h4_sto6g_0.000.yaml";
            // var FILENAME = "h20_nwchem.yaml";

            // use this state provided in the YAML
            var STATE = "|G>";

            // the margin of error to use when approximating the expected value
            var MOE = 0.1;

            // precision to iterate over with the state preparation gate
            // the number of trials is directly proportional to this constant's inverse
            // the gate will be applying a transform of the form (2 pi i \phi) where \phi
            // varies by the precision specified below
            var ANGULAR_PRECISION = 0.01;

            Console.WriteLine($"STATE: {STATE} | MOE: {MOE} | PRECISION: {ANGULAR_PRECISION}");

            #endregion

            #region Creating the Hamiltonian and JW Terms

            // create the first hamiltonian from the YAML File
            var hamiltonian = FermionHamiltonian.LoadFromYAML($@"{FILENAME}").First();

            // convert the hamiltonian into it's JW Encoding
            var JWEncoding = JordanWignerEncoding.Create(hamiltonian);

            var data = JWEncoding.QSharpData(STATE);

            // Console.WriteLine("----- Print Hamiltonian");
            // Console.Write(hamiltonian);
            // Console.WriteLine("----- End Print Hamiltonian \n");

            #endregion
            #region Convert Q# Hamiltonian

            #endregion
            #region Hybrid Quantum/Classical accelerator
            // Feed created state and hamiltonian terms to VQE
            Console.WriteLine("----- Begin VQE Simulation");

            //var N = 10; // number of qubits, calculate from data???
            //var oneReal = (1.0, 0.0);
            //var inputCoeffs = new ComplexPolar[N];
            //for (int i = 0; i < Length(inputCoeffs) - 1; i++)
            // {
            //     inputCoeffs[i] = oneReal;
            // }
            using (var qsim = new QuantumSimulator())
            {
                // Simulate.Run(qsim).Wait();
                // Console.WriteLine(arbitrary_test.Run(qsim, data).Result);
                Console.WriteLine(Simulate.Run(qsim, data, 1.0, MOE).Result);
            }
            #endregion
            #region Classical update scheme
            // Determine how to update the starting state using classical methods
            #endregion
        }