Dimensional Expressivity Analysis of Parametric Quantum Circuits
- URL: http://arxiv.org/abs/2011.03532v4
- Date: Tue, 4 May 2021 14:31:03 GMT
- Title: Dimensional Expressivity Analysis of Parametric Quantum Circuits
- Authors: Lena Funcke, Tobias Hartung, Karl Jansen, Stefan K\"uhn, Paolo
Stornati
- Abstract summary: We show how to efficiently implement the expressivity analysis using quantum hardware.
We also discuss the effect of symmetries and demonstrate how to incorporate or remove symmetries from the parametrized ansatz.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Parametric quantum circuits play a crucial role in the performance of many
variational quantum algorithms. To successfully implement such algorithms, one
must design efficient quantum circuits that sufficiently approximate the
solution space while maintaining a low parameter count and circuit depth. In
this paper, we develop a method to analyze the dimensional expressivity of
parametric quantum circuits. Our technique allows for identifying superfluous
parameters in the circuit layout and for obtaining a maximally expressive
ansatz with a minimum number of parameters. Using a hybrid quantum-classical
approach, we show how to efficiently implement the expressivity analysis using
quantum hardware, and we provide a proof of principle demonstration of this
procedure on IBM's quantum hardware. We also discuss the effect of symmetries
and demonstrate how to incorporate or remove symmetries from the parametrized
ansatz.
Related papers
- Quantum Boltzmann machine learning of ground-state energies [3.187381965457262]
Esting the ground-state energy of Hamiltonians is a fundamental task for which quantum computers can be helpful.
We analyze the performance of quantum Boltzmann machines for this task.
Our algorithm estimates the gradient of the energy function efficiently by means of a novel quantum circuit construction.
arXiv Detail & Related papers (2024-10-16T18:22:03Z) - Symmetry-Based Quantum Circuit Mapping [2.51705778594846]
We introduce a quantum circuit remapping algorithm that leverages the intrinsic symmetries in quantum processors.
This algorithm identifies all topologically equivalent circuit mappings by constraining the search space using symmetries and accelerates the scoring of each mapping using vector computation.
arXiv Detail & Related papers (2023-10-27T10:04:34Z) - Symmetry enhanced variational quantum imaginary time evolution [1.6872254218310017]
We provide guidance for constructing parameterized quantum circuits according to the locality and symmetries of the Hamiltonian.
Our approach can be used to implement the unitary and anti-unitary symmetries of a quantum system.
Numerical results confirm that the symmetry-enhanced circuits outperform the frequently-used parametrized circuits in the literature.
arXiv Detail & Related papers (2023-07-25T16:00:34Z) - End-to-end resource analysis for quantum interior point methods and portfolio optimization [63.4863637315163]
We provide a complete quantum circuit-level description of the algorithm from problem input to problem output.
We report the number of logical qubits and the quantity/depth of non-Clifford T-gates needed to run the algorithm.
arXiv Detail & Related papers (2022-11-22T18:54:48Z) - Quantum circuit debugging and sensitivity analysis via local inversions [62.997667081978825]
We present a technique that pinpoints the sections of a quantum circuit that affect the circuit output the most.
We demonstrate the practicality and efficacy of the proposed technique by applying it to example algorithmic circuits implemented on IBM quantum machines.
arXiv Detail & Related papers (2022-04-12T19:39:31Z) - Numerical Simulations of Noisy Quantum Circuits for Computational
Chemistry [51.827942608832025]
Near-term quantum computers can calculate the ground-state properties of small molecules.
We show how the structure of the computational ansatz as well as the errors induced by device noise affect the calculation.
arXiv Detail & Related papers (2021-12-31T16:33:10Z) - Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state.
In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
arXiv Detail & Related papers (2021-12-27T21:15:35Z) - Best-approximation error for parametric quantum circuits [0.13980986259786224]
In Variational Quantum Simulations, the construction of a suitable parametric quantum circuit is subject to two counteracting effects.
The number of parameters should be small for the device noise to be manageable, but also large enough for the circuit to be able to represent the solution.
To characterize such circuits, we estimate the best-approximation error using Voronoi diagrams.
arXiv Detail & Related papers (2021-07-15T15:09:16Z) - FLIP: A flexible initializer for arbitrarily-sized parametrized quantum
circuits [105.54048699217668]
We propose a FLexible Initializer for arbitrarily-sized Parametrized quantum circuits.
FLIP can be applied to any family of PQCs, and instead of relying on a generic set of initial parameters, it is tailored to learn the structure of successful parameters.
We illustrate the advantage of using FLIP in three scenarios: a family of problems with proven barren plateaus, PQC training to solve max-cut problem instances, and PQC training for finding the ground state energies of 1D Fermi-Hubbard models.
arXiv Detail & Related papers (2021-03-15T17:38:33Z) - Adaptive pruning-based optimization of parameterized quantum circuits [62.997667081978825]
Variisy hybrid quantum-classical algorithms are powerful tools to maximize the use of Noisy Intermediate Scale Quantum devices.
We propose a strategy for such ansatze used in variational quantum algorithms, which we call "Efficient Circuit Training" (PECT)
Instead of optimizing all of the ansatz parameters at once, PECT launches a sequence of variational algorithms.
arXiv Detail & Related papers (2020-10-01T18:14:11Z) - Measuring Analytic Gradients of General Quantum Evolution with the
Stochastic Parameter Shift Rule [0.0]
We study the problem of estimating the gradient of the function to be optimized directly from quantum measurements.
We derive a mathematically exact formula that provides an algorithm for estimating the gradient of any multi-qubit parametric quantum evolution.
Our algorithm continues to work, although with some approximations, even when all the available quantum gates are noisy.
arXiv Detail & Related papers (2020-05-20T18:24:11Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.