Abstract

The readout of a classical memory can be modelled as a problem of quantum channel discrimination, where a decoder retrieves information by distinguishing the different quantum channels encoded in each cell of the memory (Pirandola 2011 Phys. Rev. Lett.106 090504). In the case of optical memories, such as CDs and DVDs, this discrimination involves lossy bosonic channels and can be remarkably boosted by the use of nonclassical light (quantum reading). Here we generalize these concepts by extending the model of memory from single-cell to multi-cell encoding. In general, information is stored in a block of cells by using a channel-codeword, i.e. a sequence of channels chosen according to a classical code. Correspondingly, the readout of data is realized by a process of ‘parallel’ channel discrimination, where the entire block of cells is probed simultaneously and decoded via an optimal collective measurement. In the limit of a large block we define the quantum reading capacity of the memory, quantifying the maximum number of readable bits per cell. This notion of capacity is nontrivial when we suitably constrain the physical resources of the decoder. For optical memories (encoding bosonic channels), such a constraint is energetic and corresponds to fixing the mean total number of photons per cell. In this case, we are able to prove a separation between the quantum reading capacity and the maximum information rate achievable by classical transmitters, i.e. arbitrary classical mixtures of coherent states. In fact, we can easily construct nonclassical transmitters that are able to outperform any classical transmitter, thus showing that the advantages of quantum reading persist in the optimal multi-cell scenario.

Highlights

  • Cryptography [13] where the secret information is encoded in a Gaussian ensemble of phasespace displacements

  • Information is stored in a block of cells by using a channel codeword, i.e. a sequence of channels chosen according to some classical code

  • In this paper we have extended the model of quantum reading to the optimal and asymptotic multi-cell scenario

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Summary

Basic model of memory: single-cell encoding

A classical digital memory can be modelled as a one-dimensional (1D) array of cells (the generalization to two or more dimensions is straightforward). The writing of information by some device or encoder, which we just call ‘Alice’ for simplicity, can be modelled as a process of channel encoding [20] This means that Alice has a classical random variable X = {x, px } with k values x = 0, . In order to write information, Alice randomly picks a quantum channel φx from the ensemble and stores it in a target cell. This operation is repeated independently and identically for all the cells of the memory, so that we can characterize both the cell and the memory by specifying (see figure 1). It is clear that the main goal for Bob is to optimize the input state and output measurement in order to retrieve the maximal information from the cell

Multi-copy probing and optical memories
Assisted readout of optical memories
The simplest case: optical memory with binary cells
Quantum versus classical reading
General model of memory: multi-cell encoding
Limit of a large block size
Quantum reading capacity
Classical reading capacity
Nonclassical transmitters
Conclusion and discussion

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