Deviation bounds and concentration inequalities for quantum noises
- URL: http://arxiv.org/abs/2109.13152v4
- Date: Wed, 3 Aug 2022 06:59:36 GMT
- Title: Deviation bounds and concentration inequalities for quantum noises
- Authors: Tristan Benoist, Lisa H\"anggli, Cambyse Rouz\'e
- Abstract summary: We provide an interpretation of non-commutative Dirichlet forms in the context of quantum filtering.
For processes motivated by quantum optics experiments, we derive an optimal finite time deviation bound expressed in terms of the non-commutative Dirichlet form.
- Score: 1.2891210250935143
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We provide a stochastic interpretation of non-commutative Dirichlet forms in
the context of quantum filtering. For stochastic processes motivated by quantum
optics experiments, we derive an optimal finite time deviation bound expressed
in terms of the non-commutative Dirichlet form. Introducing and developing new
non-commutative functional inequalities, we deduce concentration inequalities
for these processes. Examples satisfying our bounds include tensor products of
quantum Markov semigroups as well as Gibbs samplers above a threshold
temperature.
Related papers
- Random non-Hermitian action theory for stochastic quantum dynamics: from canonical to path integral quantization [6.405171754125318]
We develop a theory of random non-Hermitian action that describes the nonlinear dynamics of quantum states in Hilbert space.
We investigate the evolution of a single-particle Gaussian wave packet under the influence of non-Hermiticity and randomness.
arXiv Detail & Related papers (2024-10-14T05:15:18Z) - Telling different unravelings apart via nonlinear quantum-trajectory averages [0.272760415353533]
The Gorini-Kossakowski-Sudarshan-Lindblad master equation governs the density matrix of open quantum systems.
We propose a method to operationally distinguish unravelings produced by the same ME in different measurement scenarios.
We show that a quantum-trajectory-averaged variance is able to distinguish these measurement scenarios.
arXiv Detail & Related papers (2023-12-06T12:21:17Z) - Dilute neutron star matter from neural-network quantum states [58.720142291102135]
Low-density neutron matter is characterized by the formation of Cooper pairs and the onset of superfluidity.
We model this density regime by capitalizing on the expressivity of the hidden-nucleon neural-network quantum states combined with variational Monte Carlo and reconfiguration techniques.
arXiv Detail & Related papers (2022-12-08T17:55:25Z) - Sampling with Mollified Interaction Energy Descent [57.00583139477843]
We present a new optimization-based method for sampling called mollified interaction energy descent (MIED)
MIED minimizes a new class of energies on probability measures called mollified interaction energies (MIEs)
We show experimentally that for unconstrained sampling problems our algorithm performs on par with existing particle-based algorithms like SVGD.
arXiv Detail & Related papers (2022-10-24T16:54:18Z) - Concentration analysis of multivariate elliptic diffusion processes [0.0]
We prove concentration inequalities and associated PAC bounds for continuous- and discrete-time additive functionals.
Our analysis relies on an approach via the Poisson equation allowing us to consider a very broad class of subexponentially ergodic processes.
arXiv Detail & Related papers (2022-06-07T14:15:05Z) - Fermionic approach to variational quantum simulation of Kitaev spin
models [50.92854230325576]
Kitaev spin models are well known for being exactly solvable in a certain parameter regime via a mapping to free fermions.
We use classical simulations to explore a novel variational ansatz that takes advantage of this fermionic representation.
We also comment on the implications of our results for simulating non-Abelian anyons on quantum computers.
arXiv Detail & Related papers (2022-04-11T18:00:01Z) - Flow-based sampling in the lattice Schwinger model at criticality [54.48885403692739]
Flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications.
We provide a numerical demonstration of robust flow-based sampling in the Schwinger model at the critical value of the fermion mass.
arXiv Detail & Related papers (2022-02-23T19:00:00Z) - Quantum concentration inequalities [12.56413718364189]
We establish transportation cost inequalities (TCI) with respect to the quantum Wasserstein distance.
We prove Gibbs states of commuting Hamiltonians on arbitrary hypergraphs $H=(V,E)$ satisfy a TCI with constant scaling as $O(|V|)$.
We argue that the temperature range for which the TCI holds can be enlarged by relating it to recently established modified logarithmic Sobolev inequalities.
arXiv Detail & Related papers (2021-06-30T05:44:12Z) - Dissipative evolution of quantum Gaussian states [68.8204255655161]
We derive a new model of dissipative time evolution based on unitary Lindblad operators.
As we demonstrate, the considered evolution proves useful both as a description for random scattering and as a tool in dissipator engineering.
arXiv Detail & Related papers (2021-05-26T16:03:34Z) - Emergence of jumps in quantum trajectories via homogeneization [0.0]
We study the homogeneization of quantum trajectories appearing in the context of quantum measurement.
We show that in the Meyer-Zheng topology, the time-continuous quantum trajectories converge weakly to the discontinuous trajectories of a pure jump Markov process.
arXiv Detail & Related papers (2021-03-02T18:19:13Z) - The role of boundary conditions in quantum computations of scattering
observables [58.720142291102135]
Quantum computing may offer the opportunity to simulate strongly-interacting field theories, such as quantum chromodynamics, with physical time evolution.
As with present-day calculations, quantum computation strategies still require the restriction to a finite system size.
We quantify the volume effects for various $1+1$D Minkowski-signature quantities and show that these can be a significant source of systematic uncertainty.
arXiv Detail & Related papers (2020-07-01T17:43:11Z)
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.