Learning efficient decoders for quasi-chaotic quantum scramblers
- URL: http://arxiv.org/abs/2212.11338v4
- Date: Mon, 4 Mar 2024 20:40:55 GMT
- Title: Learning efficient decoders for quasi-chaotic quantum scramblers
- Authors: Lorenzo Leone, Salvatore F.E. Oliviero, Seth Lloyd and Alioscia Hamma
- Abstract summary: We show that one can retrieve the scrambled information even without any previous knowledge of the scrambler.
A classical decoder can retrieve with fidelity one all the information scrambled by a random unitary.
Results show that one can learn the salient properties of quantum unitaries in a classical form.
- Score: 3.823356975862005
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Scrambling of quantum information is an important feature at the root of
randomization and benchmarking protocols, the onset of quantum chaos, and
black-hole physics. Unscrambling this information is possible given perfect
knowledge of the scrambler [arXiv:1710.03363.]. We show that one can retrieve
the scrambled information even without any previous knowledge of the scrambler,
by a learning algorithm that allows the building of an efficient decoder.
Remarkably, the decoder is classical in the sense that it can be efficiently
represented on a classical computer as a Clifford operator. It is striking that
a classical decoder can retrieve with fidelity one all the information
scrambled by a random unitary that cannot be efficiently simulated on a
classical computer, as long as there is no full-fledged quantum chaos. This
result shows that one can learn the salient properties of quantum unitaries in
a classical form, and sheds a new light on the meaning of quantum chaos.
Furthermore, we obtain results concerning the algebraic structure of $t$-doped
Clifford circuits, i.e., Clifford circuits containing t non-Clifford gates,
their gate complexity, and learnability that are of independent interest. In
particular, we show that a $t$-doped Clifford circuit $U_t$ can be decomposed
into two Clifford circuits $U_{0},U^{\prime}_0$ that sandwich a local unitary
operator $u_t$, i.e., $U_t=U_{0} u_{t}U_{0}^{\prime}$. The local unitary
operator $u_t$ contains $t$ non-Clifford gates and acts nontrivially on at most
$t$ qubits. As simple corollaries, the gate complexity of the $t$-doped
Clifford circuit $U_t$ is $O(n^2+t^3)$, and it admits a efficient process
tomography using $\mathrm{poly}(n,2^t)$ resources.
Related papers
- Low-depth Clifford circuits approximately solve MaxCut [44.99833362998488]
We introduce a quantum-inspired approximation algorithm for MaxCut based on low-depth Clifford circuits.
Our algorithm finds an approximate solution of MaxCut on an $N$-vertex graph by building a depth $O(N)$ Clifford circuit.
arXiv Detail & Related papers (2023-10-23T15:20:03Z) - Simulation of IBM's kicked Ising experiment with Projected Entangled
Pair Operator [71.10376783074766]
We perform classical simulations of the 127-qubit kicked Ising model, which was recently emulated using a quantum circuit with error mitigation.
Our approach is based on the projected entangled pair operator (PEPO) in the Heisenberg picture.
We develop a Clifford expansion theory to compute exact expectation values and use them to evaluate algorithms.
arXiv Detail & Related papers (2023-08-06T10:24:23Z) - Quantum Depth in the Random Oracle Model [57.663890114335736]
We give a comprehensive characterization of the computational power of shallow quantum circuits combined with classical computation.
For some problems, the ability to perform adaptive measurements in a single shallow quantum circuit is more useful than the ability to perform many shallow quantum circuits without adaptive measurements.
arXiv Detail & Related papers (2022-10-12T17:54:02Z) - A single $T$-gate makes distribution learning hard [56.045224655472865]
This work provides an extensive characterization of the learnability of the output distributions of local quantum circuits.
We show that for a wide variety of the most practically relevant learning algorithms -- including hybrid-quantum classical algorithms -- even the generative modelling problem associated with depth $d=omega(log(n))$ Clifford circuits is hard.
arXiv Detail & Related papers (2022-07-07T08:04:15Z) - Clifford Circuits can be Properly PAC Learned if and only if
$\textsf{RP}=\textsf{NP}$ [1.14219428942199]
We show that proper learning of Clifford circuits is hard for classical learners unless $textsfRP = textsfNP$.
We also show that an efficient proper quantum learner exists if and only if $textsfNP subseteq textsfRQP$.
arXiv Detail & Related papers (2022-04-13T21:07:53Z) - Learning quantum circuits of some $T$ gates [10.609715843964263]
It has been unknown how to handle circuits beyond the Clifford group.
We show that the output state of a $T$-depth one circuit textitof full $T$-rank can be represented by a stabilizer pseudomixture.
arXiv Detail & Related papers (2021-06-23T16:43:01Z) - Quantum Chaos is Quantum [1.2008527035019914]
We show that, for a quantum circuit to simulate quantum chaotic behavior, it is both necessary and sufficient that $k=O(N)$.
This result implies the impossibility of simulating quantum chaos on a classical computer.
arXiv Detail & Related papers (2021-02-16T19:00:06Z) - Building a fault-tolerant quantum computer using concatenated cat codes [44.03171880260564]
We present a proposed fault-tolerant quantum computer based on cat codes with outer quantum error-correcting codes.
We numerically simulate quantum error correction when the outer code is either a repetition code or a thin rectangular surface code.
We find that with around 1,000 superconducting circuit components, one could construct a fault-tolerant quantum computer.
arXiv Detail & Related papers (2020-12-07T23:22:40Z) - Classical Coding Approaches to Quantum Applications [2.5382095320488665]
In deep-space optical communications, current receivers for the pure-state-quantum channel first measure each qubit channel output and then classically post-process the measurements.
In this dissertation we investigate a recently proposed quantum algorithm for this task, which is inspired by classical belief-propagation algorithms.
We show that the algorithm is optimal for each bit and it appears to achieve optimal performance when deciding the full transmitted message.
arXiv Detail & Related papers (2020-04-14T23:31:46Z) - 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) - Hadamard-free circuits expose the structure of the Clifford group [9.480212602202517]
The Clifford group plays a central role in quantum randomized benchmarking, quantum tomography, and error correction protocols.
We show that any Clifford operator can be uniquely written in the canonical form $F_HSF$.
A surprising connection is highlighted between random uniform Clifford operators and the Mallows distribution on the symmetric group.
arXiv Detail & Related papers (2020-03-20T17:51:36Z)
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.