ket.operations#

Functions to manipulate quantum operations.

This module provides essential functions in the Ket library for manipulating quantum operations. It includes functions for controlled and inverse operations, facilitating quantum circuit construction.

Functions ket.operations#

adj(gate)

Return the inverse of a gate.

around(gate, *arg[, ket_process])

Applying and then reversing quantum gates.

cat(*gates)

Concatenate gates.

control(control_qubits)

Controlled scope.

ctrl(control_qubits, gate)

Add control qubits to a gate.

dump(qubits)

Obtain the quantum state snapshot.

exp_value(hamiltonian)

Calculate the expected value for a quantum state.

inverse(process)

Inverse scope.

kron(*gates)

Gates tensor product.

measure(qubits)

Measure the given qubits and return a measurement object.

sample(qubits[, shots])

Get the quantum state measurement samples.

adj(gate: Callable[[Any], Any]) Callable[[Any], Any]#

Return the inverse of a gate.

Create a new callable that applies the inverse of the given gate.

The resulting callable will iterate over the parameters to identify the Process that the inverse operation will be applied. If non of the parameters are a Quant, the keyword argument ket_process must be given.

Usage:

from ket import *

p = Process()

a, b = q.alloc(2)

bell = cat(kron(H, I), CNOT)

adj(bell)(a, b)
Parameters:

gate – The gate to apply the inverse.

Returns:

A new callable that applies the inverse of the given gate.

around(gate: Callable[[Any], Any], *arg, ket_process: Process | None = None, **kwargs)#

Applying and then reversing quantum gates.

Apply the given quantum gate (\(U\)) and then execute a code block (\(V\)). After the code block is executed, the inverse of the gate (\(U^\dagger\)) is applied, resulting in \(UVU^\dagger\).

Example

from ket import *

p = Process()
a, b = p.alloc(2)

bell = cat(kron(H, I), CNOT)

with around(bell, a, b): # Apply bell(a, b)
    X(q)                 # Execute the code block
                        # Apply adj(bell)(a, b)
Parameters:
  • gate – Quantum gate to apply.

  • *arg – Qubits or classical parameters for the gate.

  • ket_process – Explicitly specify the quantum process. If not provided, the process is inferred from the qubits.

  • **kwargs – Additional parameters for the quantum gate.

cat(*gates) Callable[[Any], Any]#

Concatenate gates.

Create a new callable concatenating all the quantum gates.

Example

from ket import *

z_gate = cat(H, X, H)

p = process()
q = p.alloc()

z_gate(q)
Parameters:

*gates – Quantum gates to concatenate.

Returns:

A new callable that concatenates the given quantum gates.

control(control_qubits: Quant)#

Controlled scope.

Opens a controlled scope where quantum operations are applied only if the qubits of the parameter control_qubits are in the state \(\ket{1}\).

Usage:

with control(control_qubits):
    # Apply operations only if control_qubits are in the state |1>
    ...

Example

from ket import *

p = Process()

c = p.alloc(2)
a, b = q.alloc(2)

# CNOT c[0] a
with control(c[0]):
    X(a)

# Toffoli c[0] c[1] a
with control(c):
    X(a)

# CSWAP c[0] a b
with control(c[0]):
    swap(a, b)
Parameters:

control_qubits – The qubits to control the quantum operations.

ctrl(control_qubits: Quant, gate: Callable[[Any], Any]) Callable[[Any], Any]#

Add control qubits to a gate.

Create a new callable that applies the given gate with the control qubits.

Usage:

from ket import *

p = Process()

c = p.alloc(2)
a, b = q.alloc(2)

# CNOT c[0] a
ctrl(c[0], X)(a)

# Toffoli c[0] c[1] a
ctrl(c, X)(a)

# CSWAP c[0] a b
ctrl(c[0], SWAP)(a, b)
Parameters:
  • control_qubits – The qubits to control the quantum operations.

  • gate – The gate to apply with the control qubits.

Returns:

A new callable that applies the given gate with the control qubits.

dump(qubits: Quant) QuantumState#

Obtain the quantum state snapshot.

Parameters:

qubits – Qubits to be observed.

Returns:

Object representing the quantum state.

exp_value(hamiltonian: Hamiltonian | Pauli) ExpValue#

Calculate the expected value for a quantum state.

Parameters:

hamiltonian – Hamiltonian or Pauli operator for calculating the expected value.

Returns:

Object representing the expected value.

inverse(process: Process)#

Inverse scope.

Open a scope where all the quantum operations are executed backwards.

Usage:

with inverse(process):
     # Classical and quantum operations
     ...
Parameters:

process – The process where the inverse operations will be applied.

kron(*gates) Callable[[Any], Any]#

Gates tensor product.

Create a new callable that with the tensor product of the given gates.

Example

from ket import *

p = process()
a, b = p.alloc(2)

HX = kron(H, X)

HX(a, b) # Apply an Hadamard on qubit `a` and a Pauli X on qubit `b`
Parameters:

*gates – Quantum gates to tensor product.

Returns:

A new callable that represents the tensor product of the given quantum gates.

measure(qubits: Quant) Measurement#

Measure the given qubits and return a measurement object.

Parameters:

qubits – Qubits to be measured.

Returns:

Object representing the measurement results.

sample(qubits: Quant, shots: int = 2048) Samples#

Get the quantum state measurement samples.

Parameters:
  • qubits – Qubits to be measured.

  • shots – Number of measurement shots.

Returns:

Object representing the measurement samples.