Jing Yan Haw

We present the strategic framework and technical foundations behind the development of the National Quantum-Safe Network (NQSN) in Singapore—a resilient, fully interoperable quantum-safe network. The testbed features a star-topology architecture built on production-grade fiber infrastructure, supporting multi-protocol quantum key distribution (QKD) and diverse applications from multiple vendors. A centralised key and network management system underpins its interoperability, enabling seamless integration across technologies. We further explore a range of quantum-secured use cases, including data center connectivity, edge computing, hybrid QKD–post-quantum cryptography (PQC) encryption, and multi-layer integration within the OSI stack. These technical insights demonstrate the feasibility and flexibility of deploying quantum-safe capabilities in a multi-input, multi-output network environment.

Given that most implementations of quantum cryptography systems require low light operations for security reasons, limiting the energy of incoming/outgoing optical signals is a central task. In this submission, we propose and demonstrate a novel and practical power limiter using the thermo-optical defocusing effect of an acrylic prism. The results show that a power limiting in the regime of mW or lower can be achieved, and at the same time possess desirable features like compactness, robustness, polarization and spectrum dimension independence, etc. Our work provides an effective way for limiting the incoming/outgoing optical energy, which is important for practical quantum cryptographic protocols. We believe it will attract much interest and possess the potential to become a standard tool for practical quantum applications.

Random number generators (RNGs) that are crucial for cryptographic applications have been the subject of adversarial attacks. These attacks exploit environmental information to predict generated random numbers that are supposed to be truly random and unpredictable. Though quantum random number generators (QRNGs) are based on the intrinsic indeterministic nature of quantum properties, the presence of classical noise in the measurement process compromises the integrity of a QRNG. In this paper, we develop a predictive machine learning (ML) analysis to investigate the impact of deterministic classical noise in different stages of an optical continuous variable QRNG. Our ML model successfully detects inherent correlations when the deterministic noise sources are prominent. After appropriate filtering and randomness extraction processes are introduced, our QRNG system, in turn, demonstrates its robustness against ML. We further demonstrate the robustness of our ML approach by applying it to uniformly distributed random numbers from the QRNG and a congruential RNG. Hence, our result shows that ML has potentials in benchmarking the quality of RNG devices.

Random numbers are a fundamental ingredient in fields such as simulation, modeling, and cryptography. Good random numbers should be independent and uniformly distributed. Moreover, for cryptographic applications, they should also be unpredictable. A fundamental feature of quantum theory is that certain measurement outcomes are intrinsically random and unpredictable. These can be harnessed to provide unconditionally secure random numbers. We demonstrate a real-time self-testing source-independent quantum random-number generator (SI QRNG) that uses squeezed light as a source. We generate secure random numbers by measuring the quadratures of the electromagnetic field without making any assumptions about the source other than an energy bound; only the detection device is trusted. We use homodyne detection to measure alternately the Q and P conjugate quadratures of our source. P measurements allow us to estimate a bound on any classical or quantum side information that a malicious eavesdropper may obtain. This bound gives the minimum number of secure bits we can extract from the Q measurement. We discuss the performance of different estimators for this bound. We operate this QRNG with a squeezed-state source and compare its performance with a thermal-state source. This is a demonstration of a QRNG using a squeezed state, as well as an implementation of real-time quadrature switching for a SI QRNG.

The National Quantum-Safe Network (NQSN) in Singapore is a nationwide collaborative platform and a field-deployed test-bed aimed at demonstrating quantum-safe cryptography solutions. NQSN links up academic, public and private members, targets trials for quantum key distribution (QKD) network with different QKD protocols, post-quantum cryptography (PQC) and classical symmetric key technologies.

Quantum physics provides some natural ways to generate genuine randomness, however, the generation of certifiable randomness still meets various theoretical and technical challenges. Recently, a work on a source device independent protocol was proposed, where the measurement apparatus is fully trusted and no assumption about the incoming light source is made. Here, we experimentally implement and verify a source device independent quantum random number generator (SDI-QRNG), built with off-the-shelf optical and electronic components. Furthermore, a series of quantum attacks were performed to evaluate the security and implementation vulnerability of the SDI-QRNG.

Two coveted qualities for a random number generator (RNG) are uniformity and unpredictability. A Pseudo-RNG (PRNG) produces a uniform output, but it is predictable when one has knowledge of the seed and implementation parameters. While a quantum-RNG (QRNG) produces an unpredictable output, it is not necessarily uniform and hence typically requires randomness extraction. We examine these two aspects in RNGs by utilizing a machine learning cryptanalysis, showing the applicability of the tool in uncovering hidden correlations and implementation failures.

Quantum random number generators (QRNGs) could generate numbers that are certifiably random even to a potential adversary who holds some side-information. However, many QRNGs require extremely precise characterisation of the source of the quantum states and the measurement apparatus. In this work, we propose a semi-device-independent QRNG protocol with untrusted homodyne detection. We show that our protocol is secure against quantum side-information, taking into account finite-size effects without making any assumption on the measurement device.

By making reasonable assumptions on realistic systems, we propose and implement the first ultra-high-speed CHSH experiment working at 40GHz demonstrating a gigabit quantum certified random number throughput. Moreover, our scheme is suitable for optical chip design since it only requires standard optical components and balanced detectors. Furthermore, our scheme paves the way for the promising research direction to utilise noisy detectors for quantum system construction, which might be helpful for certain noise-sensitive applications, e.g. quantum sensing and quantum computing.

We present a robust real time quantum random number generator based on broadband measurements of the quantum fluctuations of the vacuum field. Even though ANY optical measurements may contain potentially untrusted technical noise, we show that suitable algorithms can transform the digitised photo-current into a unique string of random numbers that are immune to environmental tempering and are absolutely indeterministic. Our device achieves a continuous generation bandwidth of 5.7 Gb/s, and is verified using statistical randomness tests.