X gate qiskit

Is there any way that I can self define a control gate in qiskit?

In this article, we are going to see how to apply NOT gate on a given input 0 or 1 using quantum gates, we have to convert 0 to 1 and 1 to 0. This can be done easily in classical computers, but how can we do this in quantum computers. We have to represent the input in qubits and then we apply the X representation of NOT gate in the quantum computer operation in that qubit after that return the resultant qubit. QISKIT is the package that sits between quantum algorithms from one side, and the physical quantum device from the other side. It translates the common programming languages like Python into quantum machine language.

X gate qiskit

In Qiskit, quantum programs are normally expressed with quantum circuits that contain quantum operations. Quantum circuits are represented by the QuantumCircuit class, and quantum operations are represented by subclasses of the class Instruction. A quantum circuit may be created by supplying an argument that indicates the number of desired quantum wires qubits for that circuit. This is often supplied as an integer:. Optionally, the number of desired classical wires bits may also be specified. The first argument refers to the number of quantum wires, and the second argument the number of classical wires:. The number of desired quantum and classical wires may also be expressed by supplying instances of QuantumRegister and ClassicalRegister as arguments to QuantumCircuit. The QuantumCircuit class contains a large number of methods and attributes. The purpose of many of its methods is to apply quantum operations to a quantum circuit. Most of its other methods and attributes either manipulate or report information about a quantum circuit. The variable qc refers to an instance of QuantumCircuit that contains at least four quantum wires. Applies S gate to qubit 3. Applies SX square root of X gate to qubit 2.

The additional quantum wire in the circuit is used as a scratch area whose output is disregarded:.

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Interested in learning how to program quantum computers? Bell states are the four states that can be created when two qubits are maximally entangled. The four states are represented as so:. Now we will go through each state and see how to implement it using quantum circuits. The first Bell state is incredibly easy to implement as it can be created using a two qubit circuit consisting of a Hadamard gate and CNOT gate found below:. This will entangle the two qubits such that the combined state becomes:. Now lets see how the circuit actually creates the first Bell state.

X gate qiskit

In Qiskit, quantum programs are normally expressed with quantum circuits that contain quantum operations. Quantum circuits are represented by the QuantumCircuit class, and quantum operations are represented by subclasses of the class Instruction. A quantum circuit may be created by supplying an argument that indicates the number of desired quantum wires qubits for that circuit. This is often supplied as an integer:. Optionally, the number of desired classical wires bits may also be specified. The first argument refers to the number of quantum wires, and the second argument the number of classical wires:. The number of desired quantum and classical wires may also be expressed by supplying instances of QuantumRegister and ClassicalRegister as arguments to QuantumCircuit. The QuantumCircuit class contains a large number of methods and attributes. The purpose of many of its methods is to apply quantum operations to a quantum circuit.

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Work Experiences. Parameterized Quantum Circuits It is sometimes useful to create a quantum circuit in which values may be supplied at runtime. The following code snippet creates a circuit in which there are three parameterized phase gates. There are also live events, courses curated by job role, and more. Note that the variable gate refers to an instance of Gate. Additional Information. Note that the variable cr refers to an instance of ClassicalRegister. Quantum Teleportation in Python. Using the decompose method The decompose method returns a new circuit after decomposing the original circuit one level. Controlled-unitary operations are derived from the ControlledGate class, which is a subclass of Gate. Hi Randomizer , I don't know if you may have already solved this problem already but I think the closest tool Qiskit provides to do what you are asking is the ControlledGate Class.

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Commonly used attributes in the Instruction class include definition and params. Logic Gates in Python. Using the decompose method The decompose method returns a new circuit after decomposing the original circuit one level. In Qiskit, all operations that may be applied to a quantum circuit are derived from the Instruction class. I have define a new quantum gate qg , and it will be applied to the "data" qubit if the "control" qubit is 1, and it will not be applied if the "control" qubit is 0. RZ qc. The code examples above all came from here: qiskit. The measure method takes two arguments:. The following code snippet creates a circuit in which there are three parameterized phase gates. Since the output will be deterministic,. Suggest changes. Please note that these methods are available after obtaining an AerSimulator backend. Saves the simulator state as a unitary matrix of the run circuit. It is sometimes useful to treat groups of quantum or classical wires as a unit. Share your thoughts in the comments.