Beyond Boundaries: efficient Projected Entangled Pair States methods for periodic quantum systems
- URL: http://arxiv.org/abs/2407.15333v1
- Date: Mon, 22 Jul 2024 02:37:29 GMT
- Title: Beyond Boundaries: efficient Projected Entangled Pair States methods for periodic quantum systems
- Authors: Shaojun Dong, Chao Wang, Hao Zhang, Meng Zhang, Lixin He,
- Abstract summary: Projected Entangled Pair States (PEPS) are recognized as a potent tool for exploring two-dimensional quantum many-body systems.
We have developed a strategy that involves the superposition of PEPS with open boundary conditions (OBC) to treat systems with periodic boundary conditions (PBC)
This approach significantly reduces the computational complexity of such systems while maintaining their translational invariance and the benchmark against the Heisenberg model and the $J$-$J$ model.
- Score: 8.759616567360537
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Projected Entangled Pair States (PEPS) are recognized as a potent tool for exploring two-dimensional quantum many-body systems. However, a significant challenge emerges when applying conventional PEPS methodologies to systems with periodic boundary conditions (PBC), attributed to the prohibitive computational scaling with the bond dimension. This has notably restricted the study of systems with complex boundary conditions. To address this challenge, we have developed a strategy that involves the superposition of PEPS with open boundary conditions (OBC) to treat systems with PBC. This approach significantly reduces the computational complexity of such systems while maintaining their translational invariance and the PBC. We benchmark this method against the Heisenberg model and the $J_1$-$J_2$ model, demonstrating its capability to yield highly accurate results at low computational costs, even for large system sizes. The techniques are adaptable to other boundary conditions, including cylindrical and twisted boundary conditions, and therefore significantly expands the application scope of the PEPS approach, shining new light on numerous applications.
Related papers
- Quantum Entanglement with Geometric Measures [0.0]
This thesis extends the geometric measure of entanglement (GME) to introduce and investigate a suite of monotone entanglements tailored for diverse quantum contexts.<n>These monotones are applicable to both bipartite and multipartite systems, offering a unified framework for characterizing entanglement across various scenarios.
arXiv Detail & Related papers (2025-06-13T04:05:03Z) - PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks [1.1060425537315088]
Physics-Informed Neural Networks (PINNs) solve partial differential equations (PDEs)
We propose a hybrid approach, PINN-FEM, which combines PINNs with finite element methods (FEM) to impose strong Dirichlet boundary conditions via domain decomposition.
This method incorporates FEM-based representations near the boundary, ensuring exact enforcement without compromising convergence.
arXiv Detail & Related papers (2025-01-14T00:47:15Z) - Physics-aligned Schrödinger bridge [6.618401151616245]
We introduce a novel data-driven field reconstruction framework, termed the Physics-aligned Schr"odinger Bridge (PalSB)
PalSB incorporates a dual-stage training process designed to address both local reconstruction mapping and global physical principles.
We demonstrate the effectiveness of PalSB through its application to three complex nonlinear systems.
arXiv Detail & Related papers (2024-09-26T13:22:22Z) - Exact projected entangled pair ground states with topological Euler invariant [0.4660328753262075]
We report on a class of gapped projected entangled pair states (PEPS) with non-trivial Euler topology.
In the non-interacting limit, these systems have optimal conditions relating to saturation of quantum geometrical bounds.
We reveal characteristic entanglement features shared between the free-fermionc and interacting states with Euler topology.
arXiv Detail & Related papers (2024-07-17T18:00:00Z) - Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality [55.06411438416805]
Constrained Markov Decision Processes (CMDPs) are critical in many high-stakes applications.
This paper introduces a novel approach, Two-Stage Deep Decision Rules (TS- DDR) to efficiently train parametric actor policies.
It is shown to enhance solution quality and to reduce computation times by several orders of magnitude when compared to current state-of-the-art methods.
arXiv Detail & Related papers (2024-05-23T18:19:47Z) - Quantum control by the environment: Turing uncomputability, Optimization over Stiefel manifolds, Reachable sets, and Incoherent GRAPE [56.47577824219207]
In many practical situations, the controlled quantum systems are open, interacting with the environment.
In this note, we briefly review some results on control of open quantum systems using environment as a resource.
arXiv Detail & Related papers (2024-03-20T10:09:13Z) - Comparative study of quantum error correction strategies for the heavy-hexagonal lattice [41.94295877935867]
Topological quantum error correction is a milestone in the scaling roadmap of quantum computers.
The square-lattice surface code has become the workhorse to address this challenge.
In some platforms, however, the connectivities are kept even lower in order to minimise gate errors.
arXiv Detail & Related papers (2024-02-03T15:28:27Z) - From Ad-Hoc to Systematic: A Strategy for Imposing General Boundary
Conditions in Discretized PDEs in variational quantum algorithm [0.6134016746457569]
We propose a general quantum-computing-based algorithm that harnesses the exponential power of noisy quantum devices in solving PDEs.
This variational quantum eigensolver (VQE)-inspired approach transcends previous idealized model demonstrations constrained by strict and simplistic boundary conditions.
We have implemented this method using the fourth-order PDE (the Euler-Bernoulli beam) as example and showcased its effectiveness with four different boundary conditions.
arXiv Detail & Related papers (2023-10-18T07:45:26Z) - Quantum Gate Optimization for Rydberg Architectures in the Weak-Coupling
Limit [55.05109484230879]
We demonstrate machine learning assisted design of a two-qubit gate in a Rydberg tweezer system.
We generate optimal pulse sequences that implement a CNOT gate with high fidelity.
We show that local control of single qubit operations is sufficient for performing quantum computation on a large array of atoms.
arXiv Detail & Related papers (2023-06-14T18:24:51Z) - Finding the ground state of a lattice gauge theory with fermionic tensor
networks: a $2+1d$ $\mathbb{Z}_2$ demonstration [0.0]
We use Gauged Gaussian Fermionic PEPS to find the ground state of $2+1d$ dimensional pure $mathbbZ$ lattice gauge theories.
We do so by combining PEPS methods with Monte-Carlo computations, allowing for efficient contraction of the PEPS and computation of correlation functions.
arXiv Detail & Related papers (2022-10-31T18:00:02Z) - High-dimensional entanglement certification: bounding relative entropy
of entanglement in $2d+1$ experiment-friendly measurements [77.34726150561087]
Entanglement -- the coherent correlations between parties in a quantum system -- is well-understood and quantifiable.
Despite the utility of such systems, methods for quantifying high-dimensional entanglement are more limited and experimentally challenging.
We present a novel certification method whose measurement requirements scale linearly with dimension subsystem.
arXiv Detail & Related papers (2022-10-19T16:52:21Z) - Decomposition of Matrix Product States into Shallow Quantum Circuits [62.5210028594015]
tensor network (TN) algorithms can be mapped to parametrized quantum circuits (PQCs)
We propose a new protocol for approximating TN states using realistic quantum circuits.
Our results reveal one particular protocol, involving sequential growth and optimization of the quantum circuit, to outperform all other methods.
arXiv Detail & Related papers (2022-09-01T17:08:41Z) - Digital quantum simulation of non-perturbative dynamics of open systems
with orthogonal polynomials [0.0]
We propose the use of the Time Evolving Density operator with Orthogonal Polynomials Algorithm (TEDOPA) on a quantum computer.
We show that exponential scalings of computational resources can potentially be avoided for time-evolution simulations of the systems considered in this work.
arXiv Detail & Related papers (2022-03-28T11:16:33Z) - Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems.
By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
arXiv Detail & Related papers (2021-08-03T17:49:09Z) - Numerical estimation of reachable and controllability sets for a
two-level open quantum system driven by coherent and incoherent controls [77.34726150561087]
The article considers a two-level open quantum system governed by the Gorini--Kossakowski--Lindblad--Sudarshan master equation.
The system is analyzed using Bloch parametrization of the system's density matrix.
arXiv Detail & Related papers (2021-06-18T14:23:29Z)
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.