Deterministic identification over channels with finite output: a
dimensional perspective on superlinear rates
- URL: http://arxiv.org/abs/2402.09117v1
- Date: Wed, 14 Feb 2024 11:59:30 GMT
- Title: Deterministic identification over channels with finite output: a
dimensional perspective on superlinear rates
- Authors: Pau Colomer, Christian Deppe, Holger Boche, Andreas Winter
- Abstract summary: We consider the problem in its generality for memoryless channels with finite output, but arbitrary input alphabets.
Our main findings are that the maximum number of messages thus identifiable scales super-exponentially as $2R,nlog n$ with the block length $n$.
Results are shown to generalise directly to classical-quantum channels with finite-dimensional output quantum system.
- Score: 53.66705737169404
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Following initial work by JaJa and Ahlswede/Cai, and inspired by a recent
renewed surge in interest in deterministic identification via noisy channels,
we consider the problem in its generality for memoryless channels with finite
output, but arbitrary input alphabets.
Such a channel is essentially given by (the closure of) the subset of its
output distributions in the probability simplex. Our main findings are that the
maximum number of messages thus identifiable scales super-exponentially as
$2^{R\,n\log n}$ with the block length $n$, and that the optimal rate $R$ is
upper and lower bounded in terms of the covering (aka Minkowski, or Kolmogorov,
or entropy) dimension $d$ of the output set: $\frac14 d \leq R \leq d$. Leading
up to the general case, we treat the important special case of the so-called
Bernoulli channel with input alphabet $[0;1]$ and binary output, which has
$d=1$, to gain intuition. Along the way, we show a certain Hypothesis Testing
Lemma (generalising an earlier insight of Ahlswede regarding the intersection
of typical sets) that implies that for the construction of a deterministic
identification code, it is sufficient to ensure pairwise reliable
distinguishability of the output distributions.
These results are then shown to generalise directly to classical-quantum
channels with finite-dimensional output quantum system (but arbitrary input
alphabet), and in particular to quantum channels on finite-dimensional quantum
systems under the constraint that the identification code can only use tensor
product inputs.
Related papers
- Resolvability of classical-quantum channels [54.825573549226924]
We study the resolvability of classical-quantum channels in two settings, for the channel output generated from the worst input, and form the fixed independent and identically distributed (i.i.d.) input.
For the fixed-input setting, while the direct part follows from the known quantum soft covering result, we exploit the recent alternative quantum Sanov theorem to solve the strong converse.
arXiv Detail & Related papers (2024-10-22T05:18:43Z) - Predicting quantum channels over general product distributions [19.09244195034539]
We learn the mapping beginequation* rho mapsto mathrmTr(O E[rho]) endequation* to within a small error for most $rho$ sampled from a distribution $D$.
We propose a new approach that achieves accurate prediction over essentially any product distribution $D$, provided it is not "classical" in which case there is a trivial exponential lower bound.
arXiv Detail & Related papers (2024-09-05T16:39:13Z) - General Communication Enhancement via the Quantum Switch [15.779145740528417]
We conjecture that $mathcalP_n>0$ is both a necessary and sufficient condition for communication enhancement via the quantum $tt SWITCH$.
We then formulate a communication protocol involving the quantum $tt SWITCH$ which enhances the private capacity of the BB84 channel.
arXiv Detail & Related papers (2024-07-03T00:47:13Z) - Quantum Resources Required to Block-Encode a Matrix of Classical Data [56.508135743727934]
We provide circuit-level implementations and resource estimates for several methods of block-encoding a dense $Ntimes N$ matrix of classical data to precision $epsilon$.
We examine resource tradeoffs between the different approaches and explore implementations of two separate models of quantum random access memory (QRAM)
Our results go beyond simple query complexity and provide a clear picture into the resource costs when large amounts of classical data are assumed to be accessible to quantum algorithms.
arXiv Detail & Related papers (2022-06-07T18:00:01Z) - Threshold size for the emergence of a classical-like behaviour [68.8204255655161]
We design a procedure to estimate the minimum size beyond which a system is amenable to a classical-like description.
The specific case of a magnetic system is considered, with details of a gedanken experiment presented and thoroughly commented.
arXiv Detail & Related papers (2022-03-25T11:31:14Z) - Dephasing superchannels [0.09545101073027092]
We characterise a class of environmental noises that decrease coherent properties of quantum channels by introducing and analysing the properties of dephasing superchannels.
These are defined as superchannels that affect only non-classical properties of a quantum channel $mathcalE$.
We prove that such superchannels $Xi_C$ form a particular subclass of Schur-product supermaps that act on the Jamiolkowski state $J(mathcalE)$ of a channel $mathcalE$ via a Schur product, $J'=J
arXiv Detail & Related papers (2021-07-14T10:10:46Z) - Inductive Bias of Multi-Channel Linear Convolutional Networks with
Bounded Weight Norm [15.08164172607321]
We study the function space characterization of the inductive bias resulting from controlling the $ell$ norm of the weights in linear convolutional networks.
For sufficiently large $C$, the induced regularizer for $K=1$ and $K=D$ are the nuclear norm and the $ell_2,1$ group-sparse norm, respectively.
arXiv Detail & Related papers (2021-02-24T12:01:23Z) - Random quantum circuits anti-concentrate in log depth [118.18170052022323]
We study the number of gates needed for the distribution over measurement outcomes for typical circuit instances to be anti-concentrated.
Our definition of anti-concentration is that the expected collision probability is only a constant factor larger than if the distribution were uniform.
In both the case where the gates are nearest-neighbor on a 1D ring and the case where gates are long-range, we show $O(n log(n)) gates are also sufficient.
arXiv Detail & Related papers (2020-11-24T18:44:57Z) - 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) - From Information Theory Puzzles in Deletion Channels to Deniability in
Quantum Cryptography [0.0]
We first conjecture on the basis of experimental data that the entropy of the posterior is minimized by the constant strings.
We then establish a connection between covert communication and deniability to propose DC-QKE.
We present an efficient coercion-resistant and quantum-secure voting scheme, based on fully homomorphic encryption.
arXiv Detail & Related papers (2020-03-25T22:20:47Z)
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.