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October 13, 2023 20:11
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| import matplotlib.pyplot as plt | |
| from qiskit import * | |
| from qiskit.tools.monitor import job_monitor | |
| from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram | |
| from math import pi | |
| qr = QuantumRegister(3, name="q") | |
| crz, crx = ClassicalRegister(1, name="crz"), ClassicalRegister(1, name="crx") | |
| c0 = ClassicalRegister(1, name="c0") | |
| qc = QuantumCircuit(qr, crz, crx, c0) | |
| θ = pi/2 | |
| θ = 0 | |
| θ = pi | |
| qc.u(θ,0,0,0) | |
| # bell state (qubit 1: alice, qubit 2: bob) | |
| qc.h(1) | |
| qc.cx(1, 2) | |
| qc.barrier() | |
| # measurement for teleportation | |
| qc.cx(0,1) | |
| qc.h(0) | |
| qc.barrier() | |
| qc.measure([0, 1],[0, 1]) | |
| qc.x(2).c_if(crx, 1) # Apply gates if the registers | |
| qc.z(2).c_if(crz, 1) # are in the state '1' | |
| qc.measure(2,2) | |
| simulator = Aer.get_backend("qasm_simulator") | |
| sim_result = execute(qc, backend=simulator, shots=1024).result() | |
| plot_histogram(sim_result.get_counts()) |
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| import matplotlib.pyplot as plt | |
| from qiskit import * | |
| from qiskit.tools.monitor import job_monitor | |
| from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram | |
| from math import pi | |
| n = 7 | |
| qcs = [] | |
| for i in range(n): | |
| qr = QuantumRegister(3, name="q") | |
| cr = ClassicalRegister(3, name="c") | |
| qc = QuantumCircuit(qr, cr) | |
| θ = pi*i/(n-1) | |
| qc.u(θ,0,0,0) | |
| # bell state | |
| qc.h(1) | |
| qc.cx(1, 2) | |
| qc.barrier() | |
| # measurement for teleportation | |
| qc.cx(0,1) | |
| qc.h(0) | |
| qc.barrier() | |
| qc.cx(1, 2) | |
| qc.cz(0, 2) | |
| qc.measure_all() | |
| qcs.append(qc) | |
| IBMQ.load_account() | |
| provider = IBMQ.get_provider("ibm-q") | |
| qcomp = provider.get_backend("ibm_perth") | |
| job = execute(qcs, backend=qcomp) | |
| real_result = job.result() | |
| q2s = [{"0":0,"1":0} for _ in range(n)] | |
| for i in range(n): | |
| tmp = real_result.get_counts(qcs[i]) | |
| for k,v in tmp.items(): | |
| q2s[i][k[0]]+=v/4000 |
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| import matplotlib.pyplot as plt | |
| from qiskit import * | |
| from qiskit.tools.monitor import job_monitor | |
| from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram | |
| from math import pi | |
| n = 7 | |
| qcs = [] | |
| for i in range(n): | |
| qr = QuantumRegister(3, name="q") | |
| qc = QuantumCircuit(qr) | |
| θ = pi*i/(n-1) | |
| qc.u(θ,0,0,0) | |
| # bell state | |
| qc.h(1) | |
| qc.cx(1, 2) | |
| # NEW next line to have the |01>+|10> state | |
| qc.x(1) | |
| qc.barrier() | |
| # measurement for teleportation | |
| qc.cx(0,1) | |
| qc.h(0) | |
| qc.barrier() | |
| # NEW nex line to control as needed | |
| qc.x(1) | |
| qc.cx(1, 2) | |
| qc.cz(0, 2) | |
| qc.measure_all() | |
| qcs.append(qc) | |
| IBMQ.load_account() | |
| provider = IBMQ.get_provider("ibm-q") | |
| qcomp = provider.get_backend("ibm_perth") | |
| job = execute(qcs, backend=qcomp) | |
| real_result = job.result() |
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