The results of a study of eight different key-to-address transformation methods applied to a set of existing files are presented. As each method is applied to a particular file, load factor and bucket size are varied over a wide range. In addition, appropriate variables pertinent only to a specific method take on different values. The performance of eaeh method is summarized in terms of the number of accesses required to get to a record and the number of overflow records created by a transformation. Peeularitiesof each method are discussed. Practical guidelines obtained from tbe results are stated. Finally, a proposal for further quantitative fundamental study is outlined.
We present a device-independent protocol for oblivious transfer (DIOT) and analyze its security under the assumption that the receiver's quantum storage is bounded during protocol execution and that the device behaves independently and identically in each round. We additionally require that, for each device component, the input corresponding to the choice of measurement basis, and the resulting output, is communicated only with the party holding that component. Our protocol is everlastingly secure and, compared to previous DIOT protocols, it is less strict about the non-communication assumptions that are typical from protocols that use Bell inequality violations; instead, the device-independence comes from a protocol for self-testing of a single (quantum) device which makes use of a post-quantum computational assumption.
In an earlier paper by Lum, Yuen, and Dodd [1] experimental results comparing six commonly used key-to-address transformation techniques were presented. One transformation in that study referred to as “Lin's method” is an elaborate technique based on radix transformation. Andrew Lin has since pointed out to the authors that his method of transformation [2] consists of not just a radix transformation algorithm but also the specific ways the values of p and q are chosen as well as hardware implementation to carry out the steps of this transformation in an efficient manner. Since our study was intended for general radix transformations rather than Lin's specific implementation, we think it is more appropriate to change the label of that transformation in [1] from “Lin's method” to “generalized radix transformation method” and we use this term here.
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