qml.resource

Overview

The resource module provides functionality to estimate the number of non-Clifford gates and logical qubits required to implement advanced quantum algorithms.

Functions

estimate_error(coeffs[, variances, shots])	Estimate the error in computing an expectation value with a given number of measurements.
estimate_shots(coeffs[, variances, error])	Estimate the number of measurements required to compute an expectation value with a target error.

Classes

DoubleFactorization(one_electron, two_electron)	Estimate the number of non-Clifford gates and logical qubits for a quantum phase estimation algorithm in second quantization with a double-factorized Hamiltonian.
FirstQuantization(n, eta, omega[, error, …])	Estimate the number of non-Clifford gates and logical qubits for a quantum phase estimation algorithm in first quantization using a plane-wave basis.
Resources([num_wires, num_gates, …])	Contains attributes which store key resources such as number of gates, number of wires, shots, depth and gate types.
ResourcesOperation(*params[, wires, …])	Base class that represents quantum gates or channels applied to quantum states and stores the resource requirements of the quantum gate.

code/qml_resource

 

Download Python script

 

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