Efficient and practical Hamiltonian simulation from time-dependent product formulas
- URL: http://arxiv.org/abs/2403.08729v3
- Date: Mon, 24 Jun 2024 17:03:49 GMT
- Title: Efficient and practical Hamiltonian simulation from time-dependent product formulas
- Authors: Jan Lukas Bosse, Andrew M. Childs, Charles Derby, Filippo Maria Gambetta, Ashley Montanaro, Raul A. Santos,
- Abstract summary: We propose an approach for implementing time-evolution of a quantum system using product formulas.
Our algorithms generate a decomposition of the evolution operator into a product of simple unitaries that are directly implementable on a quantum computer.
Although the theoretical scaling is suboptimal compared with state-of-the-art algorithms, the performance of the algorithms we propose is highly competitive in practice.
- Score: 1.2534672170380357
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In this work we propose an approach for implementing time-evolution of a quantum system using product formulas. The quantum algorithms we develop have provably better scaling (in terms of gate complexity and circuit depth) than a naive application of well-known Trotter formulas, for systems where the evolution is determined by a Hamiltonian with different energy scales (i.e., one part is "large" and another part is "small"). Our algorithms generate a decomposition of the evolution operator into a product of simple unitaries that are directly implementable on a quantum computer. Although the theoretical scaling is suboptimal compared with state-of-the-art algorithms (e.g., quantum signal processing), the performance of the algorithms we propose is highly competitive in practice. We illustrate this via extensive numerical simulations for several models. For instance, in the strong-field regime of the 1D transverse-field Ising model, our algorithms achieve an improvement of one order of magnitude in both the system size and evolution time that can be simulated with a fixed budget of 1000 arbitrary 2-qubit gates, compared with standard Trotter formulas.
Related papers
- A quantum algorithm for advection-diffusion equation by a probabilistic imaginary-time evolution operator [0.0]
We propose a quantum algorithm for solving the linear advection-diffusion equation by employing a new approximate probabilistic imaginary-time evolution (PITE) operator.
We construct the explicit quantum circuit for realizing the imaginary-time evolution of the Hamiltonian coming from the advection-diffusion equation.
Our algorithm gives comparable result to the Harrow-Hassidim-Lloyd (HHL) algorithm with similar gate complexity, while we need much less ancillary qubits.
arXiv Detail & Related papers (2024-09-27T08:56:21Z) - Riemannian quantum circuit optimization for Hamiltonian simulation [2.1227079314039057]
Hamiltonian simulation is a natural application of quantum computing.
For translation invariant systems, the gates in such circuit topologies can be further optimized on classical computers.
For the Ising and Heisenberg models on a one-dimensional lattice, we achieve orders of magnitude accuracy improvements.
arXiv Detail & Related papers (2022-12-15T00:00:17Z) - Quantum Clustering with k-Means: a Hybrid Approach [117.4705494502186]
We design, implement, and evaluate three hybrid quantum k-Means algorithms.
We exploit quantum phenomena to speed up the computation of distances.
We show that our hybrid quantum k-Means algorithms can be more efficient than the classical version.
arXiv Detail & Related papers (2022-12-13T16:04:16Z) - Simulating Markovian open quantum systems using higher-order series
expansion [1.713291434132985]
We present an efficient quantum algorithm for simulating the dynamics of Markovian open quantum systems.
Our algorithm is conceptually cleaner, and it only uses simple quantum primitives without compressed encoding.
arXiv Detail & Related papers (2022-12-05T06:02:50Z) - Time Evolution of Uniform Sequential Circuits [0.16385815610837165]
We present a hybrid quantum-classical scaling algorithm for time evolving a one-dimensional uniform system in the thermodynamic limit.
We show numerically that this anatzs requires a number of parameters in the simulation time for a given accuracy.
All steps of the hybrid optimization are designed with near-term digital quantum computers in mind.
arXiv Detail & Related papers (2022-10-07T18:00:01Z) - 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) - Algebraic Compression of Quantum Circuits for Hamiltonian Evolution [52.77024349608834]
Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware.
We present an algorithm that compresses the Trotter steps into a single block of quantum gates.
This results in a fixed depth time evolution for certain classes of Hamiltonians.
arXiv Detail & Related papers (2021-08-06T19:38:01Z) - Fixed Depth Hamiltonian Simulation via Cartan Decomposition [59.20417091220753]
We present a constructive algorithm for generating quantum circuits with time-independent depth.
We highlight our algorithm for special classes of models, including Anderson localization in one dimensional transverse field XY model.
In addition to providing exact circuits for a broad set of spin and fermionic models, our algorithm provides broad analytic and numerical insight into optimal Hamiltonian simulations.
arXiv Detail & Related papers (2021-04-01T19:06:00Z) - Low-depth Hamiltonian Simulation by Adaptive Product Formula [3.050399782773013]
Various Hamiltonian simulation algorithms have been proposed to efficiently study the dynamics of quantum systems on a quantum computer.
Here, we propose an adaptive approach to construct a low-depth time evolution circuit.
Our work sheds light on practical Hamiltonian simulation with noisy-intermediate-scale-quantum devices.
arXiv Detail & Related papers (2020-11-10T18:00:42Z) - Simulating nonnative cubic interactions on noisy quantum machines [65.38483184536494]
We show that quantum processors can be programmed to efficiently simulate dynamics that are not native to the hardware.
On noisy devices without error correction, we show that simulation results are significantly improved when the quantum program is compiled using modular gates.
arXiv Detail & Related papers (2020-04-15T05:16:24Z) - Efficient classical simulation of random shallow 2D quantum circuits [104.50546079040298]
Random quantum circuits are commonly viewed as hard to simulate classically.
We show that approximate simulation of typical instances is almost as hard as exact simulation.
We also conjecture that sufficiently shallow random circuits are efficiently simulable more generally.
arXiv Detail & Related papers (2019-12-31T19:00:00Z)
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.