Efficient Approximation of Quantum Channel Fidelity Exploiting Symmetry
- URL: http://arxiv.org/abs/2308.15884v3
- Date: Thu, 21 Mar 2024 04:01:35 GMT
- Title: Efficient Approximation of Quantum Channel Fidelity Exploiting Symmetry
- Authors: Yeow Meng Chee, Hoang Ta, Van Khu Vu,
- Abstract summary: We show that for a fixed output dimension of a quantum channel, we can compute the SDP in time with respect to the level of the hierarchy and input dimension.
As a consequence of our result, the optimal fidelity can be approximated with an accuracy of $epsilon$ in $mathrmpoly (1/epsilon, textinput dimension)$ time.
- Score: 14.524074846672526
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Determining the optimal fidelity for the transmission of quantum information over noisy quantum channels is one of the central problems in quantum information theory. Recently, [Berta-Borderi-Fawzi-Scholz, Mathematical Programming, 2021] introduced an asymptotically converging semidefinite programming hierarchy of outer bounds for this quantity. However, the size of the semidefinite programs (SDPs) grows exponentially with respect to the level of the hierarchy, thus making their computation unscalable. In this work, by exploiting the symmetries in the SDP, we show that, for a fixed output dimension of the quantum channel, we can compute the SDP in time polynomial with respect to the level of the hierarchy and input dimension. As a direct consequence of our result, the optimal fidelity can be approximated with an accuracy of $\epsilon$ in $\mathrm{poly}(1/\epsilon, \text{input dimension})$ time.
Related papers
- Estimating quantum amplitudes can be exponentially improved [11.282486674587236]
Estimating quantum amplitudes is a fundamental task in quantum computing.
We present a novel framework for estimating quantum amplitudes by transforming pure states into their matrix forms.
Our framework achieves the standard quantum limit $epsilon-2$ and the Heisenberg limit $epsilon-1$, respectively.
arXiv Detail & Related papers (2024-08-25T04:35:53Z) - Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - A quantum implementation of high-order power method for estimating geometric entanglement of pure states [39.58317527488534]
This work presents a quantum adaptation of the iterative higher-order power method for estimating the geometric measure of entanglement of multi-qubit pure states.
It is executable on current (hybrid) quantum hardware and does not depend on quantum memory.
We study the effect of noise on the algorithm using a simple theoretical model based on the standard depolarising channel.
arXiv Detail & Related papers (2024-05-29T14:40:24Z) - Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement [39.58317527488534]
Quantum Circuits (PQCs) are still not fully understood outside the scope of their principal application.
We analyse the generation of random states in PQCs under restrictions on the qubits connectivities.
We place a connection between how steep is the increase on the uniformity of the distribution of the generated states and the generation of entanglement.
arXiv Detail & Related papers (2024-05-03T17:32:55Z) - Optimising the relative entropy under semi definite constraints -- A new tool for estimating key rates in QKD [0.0]
Finding the minimal relative entropy of two quantum states under semi definite constraints is a pivotal problem.
We provide a method that addresses this optimisation.
We build on a recently introduced integral representation of quantum relative entropy by P.E. Frenkel.
arXiv Detail & Related papers (2024-04-25T20:19:47Z) - Accelerating Quantum Optimal Control of Multi-Qubit Systems with
Symmetry-Based Hamiltonian Transformations [3.0126004742841253]
We present a novel, computationally efficient approach to accelerate quantum optimal control calculations of large multi-qubit systems.
Our approach reduces the Hamiltonian size of an $n$-qubit system from 2n by 2n to O(n by n) or O((2n / n) by (2n / n) under Sn or Dn symmetry.
arXiv Detail & Related papers (2023-09-12T00:08:17Z) - An SU(2)-symmetric Semidefinite Programming Hierarchy for Quantum Max
Cut [0.6873984911061559]
We introduce a family of semidefinite programming (SDP) relaxations based on the Navascues-Pironio-Acin hierarchy.
We show that the hierarchy converges to the optimal QMaxCut value at a finite level.
We numerically demonstrate that the SDP-solvability practically becomes an efficiently-computable generalization of frustration-freeness.
arXiv Detail & Related papers (2023-07-28T17:26:31Z) - End-to-end resource analysis for quantum interior point methods and portfolio optimization [63.4863637315163]
We provide a complete quantum circuit-level description of the algorithm from problem input to problem output.
We report the number of logical qubits and the quantity/depth of non-Clifford T-gates needed to run the algorithm.
arXiv Detail & Related papers (2022-11-22T18:54:48Z) - Analyzing Prospects for Quantum Advantage in Topological Data Analysis [35.423446067065576]
We analyze and optimize an improved quantum algorithm for topological data analysis.
We show that super-quadratic quantum speedups are only possible when targeting a multiplicative error approximation.
We argue that quantum circuits with tens of billions of Toffoli can solve seemingly classically intractable instances.
arXiv Detail & Related papers (2022-09-27T17:56:15Z) - A hierarchy of efficient bounds on quantum capacities exploiting
symmetry [8.717253904965371]
We exploit the recently introduced $D#$ in order to obtain a hierarchy of semidefinite programming bounds on various regularized quantities.
As applications, we give a general procedure to give efficient bounds on the regularized Umegaki channel divergence.
We prove that for fixed input and output dimensions, the regularized sandwiched R'enyi divergence between any two quantum channels can be approximated up to an $epsilon$ accuracy in time.
arXiv Detail & Related papers (2022-03-04T04:34:15Z) - Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems.
By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
arXiv Detail & Related papers (2021-08-03T17:49:09Z)
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.