Advancements in Qudit Systems Propel Quantum Simulation of Lattice Gauge Theories

Lattice gauge theories (LGTs) are crucial to fields such as particle physics, condensed matter, and quantum information theory. Recent advancements in quantum systems control have enabled the study of Abelian LGTs in tabletop experiments. The article proposes a method to map U1 Abelian LGTs in arbitrary spatial dimensions onto qudit systems with local interactions, which could simulate LGTs in higher spatial dimensions with minimal resources. Qudit systems, the multilevel analog of the qubit, are ideal for advanced quantum information processing. The quantum simulation of LGTs has made significant progress, with the first experimental implementations now a reality.

What are U1 Lattice Gauge Theories and Why are They Important?

Lattice gauge theories (LGTs) are a fundamental aspect of various fields, including particle physics, condensed matter, and quantum information theory. They are many-body systems with significant applications in high-energy physics, condensed matter systems, and quantum information. In high-energy physics, LGTs appear as the space-discretized description of the standard model of particle physics. They can also be found as an effective description in condensed matter physics and are important for quantum error correction. This versatility of LGTs makes them a central object of research for different communities.

Recent progress in the control of quantum systems allows for studying Abelian lattice gauge theories in tabletop experiments. However, several challenges remain, such as implementing dynamical fermions in higher spatial dimensions and magnetic field terms. The study proposes a method to map U1 Abelian lattice gauge theories in arbitrary spatial dimensions onto qudit systems with local interactions. This proposal can serve as a way of simulating lattice gauge theories, particularly in higher spatial dimensions, with minimal resources regarding both system sizes and gate count.

What are Qudit Systems and How Do They Contribute to Quantum Information Processing?

Most quantum information processing platforms are based on qubits, the quantum generalization of classical bits. However, the underlying physical systems representing qubits frequently involve higher-dimensional Hilbert spaces that must be artificially restricted to two-level systems. Instead of limiting it, one can use the Hilbert space the physical system provides for information processing. This leads to the multilevel analog of the qubit—the qudit—which can be a powerful resource for quantum information processing.

The additional levels can enable alternative implementations of quantum algorithms, the implementation of optimal quantum measurements, as well as the native simulation of higher spin models or problems in quantum chemistry. Moreover, the fundamentally different coherence, dissipation, and entanglement structure of qudit systems can be advantageous in terms of noise resilience or quantum error correction. These prospects of qudit systems and recent experimental progress make multilevel systems ideal for advanced quantum information processing.

How Have Qudit Experiments Evolved, and What is Their Current State?

So far, qudit experiments have been proposed and extensively used in quantum cryptography for increased information capacity and improved resilience to perturbations. Beyond photons, almost all quantum technology platforms have demonstrated some degree of qudit control. More recently, superconducting systems, single photons, and trapped-ion experiments have demonstrated a universal set of gates for qudit quantum computing.

This rapid development of qudit hardware allows for the study of state-of-the-art quantum algorithms such as quantum simulation on these novel devices. Originally driven by the goal of developing a large-scale quantum computer, quantum simulation has been identified also as an attractive target for devices of the so-called noisy intermediate-scale quantum era.

What is the Role of Quantum Simulation in Lattice Gauge Theories?

In particular, the quantum simulation of lattice gauge theories (LGTs) has made spectacular progress over the last decade. LGTs are many-body systems with important applications in high-energy physics, condensed matter systems, and quantum information. In high-energy physics, LGTs appear as the space-discretized description of the standard model of particle physics. LGTs can also be found as an effective description in condensed matter physics and are important for quantum error correction.

Quantum simulation protocols for LGTs have been proposed for numerous quantum platforms from cold atoms through trapped ions to superconducting qubits and others. Indeed, first experimental implementations of LGT simulations are now a reality. Even though it is possible to quantum simulate LGTs in the laboratory, the experimental demonstrations remain constrained to specific scenarios.

What Does the Future Hold for Quantum Simulation of Lattice Gauge Theories?

The implementation of Abelian LGTs beyond one spatial dimension remains challenging due to the presence of dynamical fermions and magnetic field terms (four-body interactions on a lattice) in the Hamiltonian of the theory. The study proposes a quantum simulation protocol for an Abelian U1 LGT in 1+1 and in 2+1 spacetime dimensions for qudit quantum processors based on trapped ions.

The construction keeps the Hamiltonian of the theory local even in the case of higher spatial dimensions and evades the need of introducing J. This proposal can serve as a way of simulating lattice gauge theories, particularly in higher spatial dimensions, with minimal resources regarding both system sizes and gate count. This could potentially open up new avenues for the exploration and understanding of quantum phenomena in higher dimensions.

Publication details: “Variational quantum simulation of U(1) lattice gauge theories with qudit systems”
Publication Date: 2024-02-26
Authors: Pavel P. Popov, M. Meth, Maciej Lewenstein, Philipp Hauke, et al.
Source: Physical review research
DOI: https://doi.org/10.1103/physrevresearch.6.013202

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