Simulating Hadronic Physics on NISQ devices using Basis Light-Front
Quantization
- URL: http://arxiv.org/abs/2011.13443v1
- Date: Thu, 26 Nov 2020 19:00:01 GMT
- Title: Simulating Hadronic Physics on NISQ devices using Basis Light-Front
Quantization
- Authors: Michael Kreshchuk, Shaoyang Jia, William M. Kirby, Gary Goldstein,
James P. Vary, Peter J. Love
- Abstract summary: We show how calculations of hadron structure can be performed on Noisy Intermediate-Scale Quantum devices.
We calculate the light-front wave functions of pions using an effective light-front Hamiltonian in a basis representation on a current quantum processor.
- Score: 0.06524460254566902
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The analogy between quantum chemistry and light-front quantum field theory,
first noted by Kenneth G. Wilson, serves as motivation to develop light-front
quantum simulation of quantum field theory. We demonstrate how calculations of
hadron structure can be performed on Noisy Intermediate-Scale Quantum devices
within the Basis Light-Front Quantization framework. We calculate the
light-front wave functions of pions using an effective light-front Hamiltonian
in a basis representation on a current quantum processor. We use the
Variational Quantum Eigensolver to find the ground state energy and wave
function, which is subsequently used to calculate pion mass radius, decay
constant, elastic form factor, and charge radius.
Related papers
- Quantum nuclear dynamics on a distributed set of ion-trap quantum computing systems [0.0]
We use an IonQ 11-qubit trapped-ion quantum computer, Harmony, to study the quantum wavepacket dynamics of a shared-proton.
We also provide the first application of distributed quantum computing for chemical dynamics problems.
arXiv Detail & Related papers (2024-06-07T18:27:50Z) - A Theory of Quantum Jumps [44.99833362998488]
We study fluorescence and the phenomenon of quantum jumps'' in idealized models of atoms coupled to the quantized electromagnetic field.
Our results amount to a derivation of the fundamental randomness in the quantum-mechanical description of microscopic systems.
arXiv Detail & Related papers (2024-04-16T11:00:46Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Universality of critical dynamics with finite entanglement [68.8204255655161]
We study how low-energy dynamics of quantum systems near criticality are modified by finite entanglement.
Our result establishes the precise role played by entanglement in time-dependent critical phenomena.
arXiv Detail & Related papers (2023-01-23T19:23:54Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Solving hadron structures using the basis light-front quantization
approach on quantum computers [0.8726465590483234]
We show that quantum computing can be used to solve for the structure of hadrons governed by strongly-interacting quantum field theory.
We present the numerical calculations on simulated quantum devices using the basis light-front quantization approach.
arXiv Detail & Related papers (2021-12-03T14:28:18Z) - The Hintons in your Neural Network: a Quantum Field Theory View of Deep
Learning [84.33745072274942]
We show how to represent linear and non-linear layers as unitary quantum gates, and interpret the fundamental excitations of the quantum model as particles.
On top of opening a new perspective and techniques for studying neural networks, the quantum formulation is well suited for optical quantum computing.
arXiv Detail & Related papers (2021-03-08T17:24:29Z) - Imaginary Time Propagation on a Quantum Chip [50.591267188664666]
Evolution in imaginary time is a prominent technique for finding the ground state of quantum many-body systems.
We propose an algorithm to implement imaginary time propagation on a quantum computer.
arXiv Detail & Related papers (2021-02-24T12:48:00Z) - Light-Front Field Theory on Current Quantum Computers [0.06524460254566902]
We present a quantum algorithm for simulation of quantum field theory in the light-front formulation.
We demonstrate how existing quantum devices can be used to study the structure of bound states in relativistic nuclear physics.
arXiv Detail & Related papers (2020-09-16T18:32:00Z)
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.