Hello Peter,

Thanks a lot for your email. I find your project very interesting and inspiring 
and I’d be delighted to find a way to collaborate.

See below the answers to some of your comments:

The Cryptech RNG is implemented in an FPGA, so many digital
interfaces are theoretically possible.

What low level interface(s) does your QRNG use? The whitepaper you
linked only mentions high level interfaces such as PCIe and Ethernet,
which may not be so suitable because of relatively high complexity.

Our entropy source (ES) is also controlled by an FPGA now. We can adapt 
interfacing issues to adapt to the needs of your solution. Currently, the 
format of the random bits is a parallel 8-bit LVDS signal, and we need some 
extra signals to control the ES. All of them can be generated from an FPGA.

The whitepaper says "multi gigabit per second bit rate." on page 4
but nothing more specific.

The final bitrate we can provide depends on the target price. Our optical 
system has been proven up to 42 Gb/s, but then the electronics, ADC and 
processing gets very expensive. What do you think would be an attractive RNG 
bitrate for your HSMs?


nor results form tests using tools like Ent, Diheharder not NIST
tests in SP 800-22, all commonly used to test entropy sources and
random generators.

Right, it would be good to run those tests for a while, maybe ICFO
have so far focused on the histogram in Figure 2.

Our approach is to test the predictability (or extractable entropy) using 
experimental measures only, not statistical measures or tests. These methods 
are very ineffective to test randomness. Our methodology (which shares 
similarities with latest standardisation efforts for RNGs) was presented in 
Phys. Rev. A, 91, 012314 (2015) [you can find an open source version of the 
manuscript here https://arxiv.org/abs/1506.02712]. We applied this methodology 
to the RNGs we developed for last year loophole-free Bell test experiments 
published in Nature. You can find all the characterisation in our Phys. Rev. 
Lett. (2016) publication [an open-source version can be found in 
https://arxiv.org/pdf/1506.02712v2.pdf]. At the end of this document, you can 
see the results of some statistical tests that we used as health monitors (more 
than 1 Tb of data was tested). Mostly, we use the Alphabit battery of the 
TestU01 suite, which was specifically designed for testing physical RNGs.

Best,

Carlos



//Peter

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