“…Figure 3 shows the EL of the (m) LLED over ∼16 h. Note that the EL variation is compensated by the randomness extraction [9] and does not influence the quality of random numbers and therefore no adjustment of the QRNG is needed over a very long working period. …”
Section: Si-ncs Large Area Ledmentioning
confidence: 99%
“…The randomness in path taken by photons arriving on a beam splitter 1 [1], the comparison of the waiting time for photon arrivals in adjacent time intervals [2] and the combination of both methods [3] have been used to generate random numbers. In some other works, encoding the number of arriving photons in observation windows [4][5][6] and the randomness in the photon arrival times [7][8][9] have been used to produce random numbers. Recently, a robust approach based on arrival times of photons has been proposed by our group [9].…”
Section: Introductionmentioning
confidence: 99%
“…In some other works, encoding the number of arriving photons in observation windows [4][5][6] and the randomness in the photon arrival times [7][8][9] have been used to produce random numbers. Recently, a robust approach based on arrival times of photons has been proposed by our group [9]. It considers all the non-idealities of the source as well as the detector, producing high quality random numbers which pass all the statistical tests in national institute of standards and technology (NIST) tests suite and TestU01 without a post-processing algorithm 1 .…”
Section: Introductionmentioning
confidence: 99%
“…In a previous work [9], we have demonstrated a procedure to extract high quality random numbers from the arrival time of photons emitted by a Si-NCs LED, collected by a fiber bundle and detected by a commercial single photon avalanche diode (SPAD). In this work we use the same robust methodology of random number extraction of Bisadi et al [9] but we demonstrate a PQRNG where the LLED is directly faced to a SiPM.…”
Section: Introductionmentioning
confidence: 99%
“…In this work we use the same robust methodology of random number extraction of Bisadi et al [9] but we demonstrate a PQRNG where the LLED is directly faced to a SiPM. Moreover, both devices are fabricated by the same silicon pilot line of Bruno Kessler Foundation (FBK) with a dimension allowing optimum coupling which is specifically challenging for the Si-NCs LLED.…”
A small-sized photonic quantum random number generator, easy to be implemented in small electronic devices for secure data encryption and other applications, is highly demanding nowadays. Here, we propose a compact configuration with Silicon nanocrystals large area light emitting device (LED) coupled to a Silicon photomultiplier to generate random numbers. The random number generation methodology is based on the photon arrival time and is robust against the non-idealities of the detector and the source of quantum entropy. The raw data show high quality of randomness and pass all the statistical tests in national institute of standards and technology tests (NIST) suite without a post-processing algorithm. The highest bit rate is 0.5 Mbps with the efficiency of 4 bits per detected photon.
“…Figure 3 shows the EL of the (m) LLED over ∼16 h. Note that the EL variation is compensated by the randomness extraction [9] and does not influence the quality of random numbers and therefore no adjustment of the QRNG is needed over a very long working period. …”
Section: Si-ncs Large Area Ledmentioning
confidence: 99%
“…The randomness in path taken by photons arriving on a beam splitter 1 [1], the comparison of the waiting time for photon arrivals in adjacent time intervals [2] and the combination of both methods [3] have been used to generate random numbers. In some other works, encoding the number of arriving photons in observation windows [4][5][6] and the randomness in the photon arrival times [7][8][9] have been used to produce random numbers. Recently, a robust approach based on arrival times of photons has been proposed by our group [9].…”
Section: Introductionmentioning
confidence: 99%
“…In some other works, encoding the number of arriving photons in observation windows [4][5][6] and the randomness in the photon arrival times [7][8][9] have been used to produce random numbers. Recently, a robust approach based on arrival times of photons has been proposed by our group [9]. It considers all the non-idealities of the source as well as the detector, producing high quality random numbers which pass all the statistical tests in national institute of standards and technology (NIST) tests suite and TestU01 without a post-processing algorithm 1 .…”
Section: Introductionmentioning
confidence: 99%
“…In a previous work [9], we have demonstrated a procedure to extract high quality random numbers from the arrival time of photons emitted by a Si-NCs LED, collected by a fiber bundle and detected by a commercial single photon avalanche diode (SPAD). In this work we use the same robust methodology of random number extraction of Bisadi et al [9] but we demonstrate a PQRNG where the LLED is directly faced to a SiPM.…”
Section: Introductionmentioning
confidence: 99%
“…In this work we use the same robust methodology of random number extraction of Bisadi et al [9] but we demonstrate a PQRNG where the LLED is directly faced to a SiPM. Moreover, both devices are fabricated by the same silicon pilot line of Bruno Kessler Foundation (FBK) with a dimension allowing optimum coupling which is specifically challenging for the Si-NCs LLED.…”
A small-sized photonic quantum random number generator, easy to be implemented in small electronic devices for secure data encryption and other applications, is highly demanding nowadays. Here, we propose a compact configuration with Silicon nanocrystals large area light emitting device (LED) coupled to a Silicon photomultiplier to generate random numbers. The random number generation methodology is based on the photon arrival time and is robust against the non-idealities of the detector and the source of quantum entropy. The raw data show high quality of randomness and pass all the statistical tests in national institute of standards and technology tests (NIST) suite without a post-processing algorithm. The highest bit rate is 0.5 Mbps with the efficiency of 4 bits per detected photon.
We present an implementation of a semi-device-independent protocol of the generation of quantum random numbers in a fully integrated silicon chip. The system is based on a prepare-and-measure scheme, where we integrate a partially trusted source of photons and an untrusted single photon detector. The source is a silicon photomultiplier, which emits photons during the avalanche impact ionization process, while the detector is a single photon avalanche diode. The proposed protocol requires only a few and reasonable assumptions on the generated states. It is sufficient to measure the statistics of generation and detection in order to evaluate the min-entropy of the output sequence, conditioned on all possible classical side information. We demonstrate that this protocol, previously realized with a bulky laboratory setup, is totally applicable to a compact and fully integrated chip with an estimated throughput of 6 kHz of the certified quantum random bit rate.
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