Dynamical Triplet Unravelling: A quantum Monte Carlo algorithm for
reversible dynamics
- URL: http://arxiv.org/abs/2206.10283v1
- Date: Tue, 21 Jun 2022 12:09:51 GMT
- Title: Dynamical Triplet Unravelling: A quantum Monte Carlo algorithm for
reversible dynamics
- Authors: Romain Chessex, Massimo Borrelli, Hans Christian \"Ottinger
- Abstract summary: We introduce a quantum Monte Carlo method to simulate the dynamics of correlated many-body systems.
Our method is based on the Laplace transform of the time-evolution operator which, as opposed to most quantum Monte Carlo methods, makes it possible to access the dynamics at longer times.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce a quantum Monte Carlo method to simulate the reversible dynamics
of correlated many-body systems. Our method is based on the Laplace transform
of the time-evolution operator which, as opposed to most quantum Monte Carlo
methods, makes it possible to access the dynamics at longer times. The Monte
Carlo trajectories are realised through a piece-wise stochastic-deterministic
reversible evolution where free dynamics is interspersed with two-process
quantum jumps. The dynamical sign problem is bypassed via the so-called
deadweight approximation, which stabilizes the many-body phases at longer
times. We benchmark our method by simulating spin excitation propagation in the
XXZ model and dynamical confinement in the quantum Ising chain, and show how to
extract dynamical information from the Laplace representation.
Related papers
- Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits [3.8572128827057255]
We investigate operator dynamics and entanglement growth in dual-unitary circuits.
Our work offers a scalable computational framework for studying long-time operator evolution and entanglement.
arXiv Detail & Related papers (2024-10-01T18:00:00Z) - Hybrid Stabilizer Matrix Product Operator [44.99833362998488]
We introduce a novel hybrid approach combining tensor network methods with the stabilizer formalism to address the challenges of simulating many-body quantum systems.
We demonstrate the effectiveness of our method through applications to random Clifford T-doped circuits and Random Clifford Floquet Dynamics.
arXiv Detail & Related papers (2024-05-09T18:32:10Z) - Robust Extraction of Thermal Observables from State Sampling and
Real-Time Dynamics on Quantum Computers [49.1574468325115]
We introduce a technique that imposes constraints on the density of states, most notably its non-negativity, and show that this way, we can reliably extract Boltzmann weights from noisy time series.
Our work enables the implementation of the time-series algorithm on present-day quantum computers to study finite temperature properties of many-body quantum systems.
arXiv Detail & Related papers (2023-05-30T18:00:05Z) - Variational quantum dynamics of two-dimensional rotor models [0.0]
We present a numerical method to simulate the dynamics of continuous-variable quantum many-body systems.
Our approach is based on custom neural-network many-body quantum states.
arXiv Detail & Related papers (2022-12-21T19:00:01Z) - Stochastic Representation of the Quantum Quartic Oscillator [0.0]
We show how to parameterize the time evolution of this model via the dynamics of a set of classical variables.
We propose a novel way to numerically simulate the time evolution of the system.
arXiv Detail & Related papers (2022-11-03T16:04:26Z) - Free to Harmonic Unitary Transformations in Quantum and Koopman Dynamics [0.0]
We show that an equivalent transformation can be performed for classical systems in the context of Koopman von-Neumann (KvN) dynamics.
We further extend this mapping to dissipative evolutions in both the quantum and classical cases, and show that this mapping imparts an identical time-dependent scaling on the dissipation parameters for both types of dynamics.
arXiv Detail & Related papers (2022-07-19T18:59:01Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z) - Quantum Markov Chain Monte Carlo with Digital Dissipative Dynamics on
Quantum Computers [52.77024349608834]
We develop a digital quantum algorithm that simulates interaction with an environment using a small number of ancilla qubits.
We evaluate the algorithm by simulating thermal states of the transverse Ising model.
arXiv Detail & Related papers (2021-03-04T18:21:00Z) - Bernstein-Greene-Kruskal approach for the quantum Vlasov equation [91.3755431537592]
The one-dimensional stationary quantum Vlasov equation is analyzed using the energy as one of the dynamical variables.
In the semiclassical case where quantum tunneling effects are small, an infinite series solution is developed.
arXiv Detail & Related papers (2021-02-18T20:55:04Z) - Continuous-time dynamics and error scaling of noisy highly-entangling
quantum circuits [58.720142291102135]
We simulate a noisy quantum Fourier transform processor with up to 21 qubits.
We take into account microscopic dissipative processes rather than relying on digital error models.
We show that depending on the dissipative mechanisms at play, the choice of input state has a strong impact on the performance of the quantum algorithm.
arXiv Detail & Related papers (2021-02-08T14:55:44Z) - Dynamical replica analysis of quantum annealing [0.0]
An interesting alternative approach to the dynamics of quantum spin systems was proposed about a decade ago.
It involves creating a proxy dynamics via the Suzuki-Trotter mapping of the quantum ensemble to a classical one.
In this chapter we give an introduction to this approach, focusing on the ideas and assumptions behind the derivations.
arXiv Detail & Related papers (2020-10-23T12:17:38Z)
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.