Variational quantum simulation of ground states and thermal states for lattice gauge theory with multi-objective optimization
- URL: http://arxiv.org/abs/2408.17300v1
- Date: Fri, 30 Aug 2024 13:56:22 GMT
- Title: Variational quantum simulation of ground states and thermal states for lattice gauge theory with multi-objective optimization
- Authors: Lang-Xing Cheng, Dan-Bo Zhang,
- Abstract summary: Variational quantum algorithms provide feasible approaches for simulating quantum systems.
In this paper, we incorporate multi-objective optimization for variational quantum simulation of lattice gauge theory at zero and finite temperatures.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Variational quantum algorithms provide feasible approaches for simulating quantum systems and are applied widely. For lattice gauge theory, however, variational quantum simulation faces a challenge as local gauge invariance enforces a constraint on the physical Hilbert space. In this paper, we incorporate multi-objective optimization for variational quantum simulation of lattice gauge theory at zero and finite temperatures. By setting energy or free energy of the system and penalty for enforcing the local gauge invariance as two objectives, the multi-objective optimization can self-adjust the proper weighting for two objectives and thus faithfully simulate the gauge theory in the physical Hilbert space. Specifically, we propose variational quantum eigensolver and variational quantum thermalizer for preparing the ground states and thermal states of lattice gauge theory, respectively. We demonstrate the quantum algorithms for a $Z_2$ lattice gauge theory with spinless fermion in one dimension. With numeral simulations, the multi-objective optimization shows that minimizing energy~(free energy) and enforcing the local gauge invariance can be achieved simultaneously at zero temperature~(finite temperature). The multi-objective optimization suggests a feasible ingredient for quantum simulation of complicated physical systems on near-term quantum devices.
Related papers
- Thermalization and Criticality on an Analog-Digital Quantum Simulator [133.58336306417294]
We present a quantum simulator comprising 69 superconducting qubits which supports both universal quantum gates and high-fidelity analog evolution.
We observe signatures of the classical Kosterlitz-Thouless phase transition, as well as strong deviations from Kibble-Zurek scaling predictions.
We digitally prepare the system in pairwise-entangled dimer states and image the transport of energy and vorticity during thermalization.
arXiv Detail & Related papers (2024-05-27T17:40:39Z) - Quantum Computation of Thermal Averages for a Non-Abelian $D_4$ Lattice
Gauge Theory via Quantum Metropolis Sampling [0.0]
We show the application of the Quantum Metropolis Sampling (QMS) algorithm to a toy gauge theory with discrete non-Abelian gauge group $D_4$ in (2+1)-dimensions.
arXiv Detail & Related papers (2023-09-13T17:05:03Z) - Variational quantum simulation of U(1) lattice gauge theories with qudit
systems [0.0]
We map D-dimensional Abelian lattice gauge theories onto qudit systems with local interactions for arbitrary D.
Our proposal can serve as a way of simulating lattice gauge theories, particularly in higher spatial dimensions, with minimal resources.
arXiv Detail & Related papers (2023-07-27T20:04:55Z) - 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) - A self-consistent field approach for the variational quantum
eigensolver: orbital optimization goes adaptive [52.77024349608834]
We present a self consistent field approach (SCF) within the Adaptive Derivative-Assembled Problem-Assembled Ansatz Variational Eigensolver (ADAPTVQE)
This framework is used for efficient quantum simulations of chemical systems on nearterm quantum computers.
arXiv Detail & Related papers (2022-12-21T23:15:17Z) - Probing finite-temperature observables in quantum simulators of spin
systems with short-time dynamics [62.997667081978825]
We show how finite-temperature observables can be obtained with an algorithm motivated from the Jarzynski equality.
We show that a finite temperature phase transition in the long-range transverse field Ising model can be characterized in trapped ion quantum simulators.
arXiv Detail & Related papers (2022-06-03T18:00:02Z) - Implementation of a two-stroke quantum heat engine with a collisional
model [50.591267188664666]
We put forth a quantum simulation of a stroboscopic two-stroke thermal engine in the IBMQ processor.
The system consists of a quantum spin chain connected to two baths at their boundaries, prepared at different temperatures using the variational quantum thermalizer algorithm.
arXiv Detail & Related papers (2022-03-25T16:55:08Z) - Two-dimensional $\mathbb{Z}_2$ lattice gauge theory on a near-term
quantum simulator: variational quantum optimization, confinement, and
topological order [0.0]
We propose an implementation of a two-dimensional $mathbbZ$ lattice gauge theory model on a shallow quantum circuit.
The ground state preparation is numerically analyzed on a small lattice with a variational quantum algorithm.
Our work shows that variational quantum algorithms provide a useful technique to be added in the growing toolbox for digital simulations of lattice gauge theories.
arXiv Detail & Related papers (2021-12-22T10:45:33Z) - Bosonic field digitization for quantum computers [62.997667081978825]
We address the representation of lattice bosonic fields in a discretized field amplitude basis.
We develop methods to predict error scaling and present efficient qubit implementation strategies.
arXiv Detail & Related papers (2021-08-24T15:30:04Z) - Gauge equivariant neural networks for quantum lattice gauge theories [2.14192068078728]
Gauge symmetries play a key role in physics appearing in areas such as quantum field theories of the fundamental particles and emergent degrees of freedom in quantum materials.
Motivated by the desire to efficiently simulate many-body quantum systems with exact local gauge invariance, gauge equivariant neural-network quantum states are introduced.
arXiv Detail & Related papers (2020-12-09T18:57:02Z) - Towards simulating 2D effects in lattice gauge theories on a quantum
computer [1.327151508840301]
We propose an experimental quantum simulation scheme to study ground state properties in two-dimensional quantum electrodynamics (2D QED) using existing quantum technology.
The proposal builds on a formulation of lattice gauge theories as effective spin models in arXiv:2006.14160.
We present two Variational Quantum Eigensolver (VQE) based protocols for the study of magnetic field effects, and for taking an important first step towards computing the running coupling of QED.
arXiv Detail & Related papers (2020-08-21T01:20:55Z)
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.