Quantum simulation of Burgers turbulence: Nonlinear transformation and direct evaluation of statistical quantities
- URL: http://arxiv.org/abs/2412.17206v1
- Date: Mon, 23 Dec 2024 01:17:26 GMT
- Title: Quantum simulation of Burgers turbulence: Nonlinear transformation and direct evaluation of statistical quantities
- Authors: Fumio Uchida, Koichi Miyamoto, Soichiro Yamazaki, Kotaro Fujisawa, Naoki Yoshida,
- Abstract summary: It is still challenging to solve nonlinear equations in fluid dynamics, such as the Burgers equation, using quantum computers.
We propose a novel quantum algorithm to solve the Burgers equation.
- Score: 0.0
- License:
- Abstract: Fault-tolerant quantum computing is a promising technology to solve linear partial differential equations that are classically demanding to integrate. It is still challenging to solve non-linear equations in fluid dynamics, such as the Burgers equation, using quantum computers. We propose a novel quantum algorithm to solve the Burgers equation. With the Cole-Hopf transformation that maps the fluid velocity field $u$ to a new field $\psi$, we apply a sequence of quantum gates to solve the resulting linear equation and obtain the quantum state $\vert\psi\rangle$ that encodes the solution $\psi$. We also propose an efficient way to extract stochastic properties of $u$, namely the multi-point functions of $u$, from the quantum state of $\vert\psi\rangle$. Our algorithm offers an exponential advantage over the classical finite difference method in terms of the number of spatial grids when a perturbativity condition in the information-extracting step is met.
Related papers
- Divergence-free algorithms for solving nonlinear differential equations on quantum computers [0.27624021966289597]
We propose algorithms of divergence-free simulation for nonlinear differential equations in quantum computers.
The solution of nonlinear differential equations free from evolution time constraints opens the door to practical applications of quantum computers.
arXiv Detail & Related papers (2024-11-25T09:47:24Z) - Quantum and classical algorithms for nonlinear unitary dynamics [0.5729426778193399]
We present a quantum algorithm for a non-linear differential equation of the form $fracd|urangledt.
We also introduce a classical algorithm based on the Euler method allowing comparably scaling to the quantum algorithm in a restricted case.
arXiv Detail & Related papers (2024-07-10T14:08:58Z) - Calculating response functions of coupled oscillators using quantum phase estimation [40.31060267062305]
We study the problem of estimating frequency response functions of systems of coupled, classical harmonic oscillators using a quantum computer.
Our proposed quantum algorithm operates in the standard $s-sparse, oracle-based query access model.
We show that a simple adaptation of our algorithm solves the random glued-trees problem in time.
arXiv Detail & Related papers (2024-05-14T15:28:37Z) - Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent [37.59299233291882]
We propose Q-Newton, a hybrid quantum-classical scheduler for accelerating neural network training with Newton's GD.
Q-Newton utilizes a streamlined scheduling module that coordinates between quantum and classical linear solvers.
Our evaluation showcases the potential for Q-Newton to significantly reduce the total training time compared to commonly used quantum machines.
arXiv Detail & Related papers (2024-04-30T23:55:03Z) - Nonlinear dynamics as a ground-state solution on quantum computers [39.58317527488534]
We present variational quantum algorithms (VQAs) that encode both space and time in qubit registers.
The spacetime encoding enables us to obtain the entire time evolution from a single ground-state computation.
arXiv Detail & Related papers (2024-03-25T14:06:18Z) - Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$.
We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
arXiv Detail & Related papers (2024-01-17T18:59:38Z) - Hybrid quantum-classical and quantum-inspired classical algorithms for
solving banded circulant linear systems [0.8192907805418583]
We present an efficient algorithm based on convex optimization of combinations of quantum states to solve for banded circulant linear systems.
By decomposing banded circulant matrices into cyclic permutations, our approach produces approximate solutions to such systems with a combination of quantum states linear to $K$.
We validate our methods with classical simulations and actual IBM quantum computer implementation, showcasing their applicability for solving physical problems such as heat transfer.
arXiv Detail & Related papers (2023-09-20T16:27:16Z) - Correspondence between open bosonic systems and stochastic differential
equations [77.34726150561087]
We show that there can also be an exact correspondence at finite $n$ when the bosonic system is generalized to include interactions with the environment.
A particular system with the form of a discrete nonlinear Schr"odinger equation is analyzed in more detail.
arXiv Detail & Related papers (2023-02-03T19:17:37Z) - Pricing multi-asset derivatives by variational quantum algorithms [0.6181093777643575]
We use variational quantum simulation to solve the Black-Scholes equation and compute the derivative price from the inner product between the solution and a probability distribution.
This avoids the measurement bottleneck of the naive approach and would provide quantum speedup even in noisy quantum computers.
arXiv Detail & Related papers (2022-07-04T09:11:15Z) - Efficient quantum algorithm for dissipative nonlinear differential
equations [1.1988695717766686]
We develop a quantum algorithm for dissipative quadratic $n$-dimensional ordinary differential equations.
Our algorithm has complexity $T2 qmathrmpoly(log T, log n, log 1/epsilon)/epsilon$, where $T$ is the evolution time, $epsilon$ is the allowed error, and $q$ measures decay of the solution.
arXiv Detail & Related papers (2020-11-06T04:27:00Z) - Quantum Gram-Schmidt Processes and Their Application to Efficient State
Read-out for Quantum Algorithms [87.04438831673063]
We present an efficient read-out protocol that yields the classical vector form of the generated state.
Our protocol suits the case that the output state lies in the row space of the input matrix.
One of our technical tools is an efficient quantum algorithm for performing the Gram-Schmidt orthonormal procedure.
arXiv Detail & Related papers (2020-04-14T11:05:26Z)
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.