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QEP teams up with Amazon Web Services to boost the development of quantum technologies

Projects will advance quantum communication and computing technologies, and explore potential commercial applications to help industry keep pace with evolving quantum capabilities.

The National University of Singapore (NUS) has signed a Memorandum of Understanding (MoU) with Amazon Web Services (AWS) for a collaboration to boost the development of quantum communication and computing technologies, and explore potential industry applications of quantum capabilities.

Quantum computing has the potential to solve computational problems that are beyond the reach of classical computers by harnessing the laws of quantum mechanics to build more powerful tools for processing information. Developing quantum algorithms and designing useful quantum applications require new skills and potentially radically different approaches. Quantum communication offers encryption resistant to computational hacks and new possibilities in networking.

The collaboration is led by the Quantum Engineering Programme (QEP), a national initiative launched in 2018 by the National Research Foundation, Singapore (NRF), which aims to leverage quantum technologies to solve real-world problems. The programme is hosted by NUS.

Under the MoU, AWS will support QEP in the development of quantum computing research and projects, and connect to the National Quantum-Safe Network for quantum communications. Both areas include the identification of use cases and development of applications that could support future commercialisation of Singapore-designed quantum computing and communication technologies, and the joint organisation of academic, scientific, and public outreach activities like seminars, workshops, festivals, and conferences.

Professor Chen Tsuhan, NUS Deputy President (Research & Technology), said, “Singapore’s journey to becoming a knowledge-based economy requires a right mix of world-class talent, cutting-edge infrastructure, and a well-established knowledge transfer ecosystem. A cornerstone of this vision is the QEP hosted at NUS, which brings together expertise in quantum science and engineering, and aims to translate radical innovations into commercialisable solutions. This collaboration between QEP and AWS is a crucial enabler for the nation’s full digital transformation and opens the door to a quantum-ready future.”

Quantum technologies have been identified as a key technology area under the Research, Innovation and Enterprise (RIE) 2025 Plan, which NRF manages. The collaboration between QEP and AWS will accelerate the development of innovations and solutions in this field.

Mr Ling Keok Tong, Director (Smart Nation and Digital Economy) at NRF, said, “Through our early and steady investments over the last 20 years, Singapore has developed world-class capabilities in quantum technologies. We intend to collaborate with AWS to bring these technologies to fruition through actual products and services, and continue to spur our local research ecosystem to push the envelope in developing capabilities and technologies that are of interest to the industry.”

“Singapore has built its quantum technology expertise over many years. AWS is delighted to collaborate with QEP to accelerate the quantum innovation in Singapore working directly with researchers, developers, governments, and organisations,” said Ms Tan Lee Chew, ASEAN Managing Director, Worldwide Public Sector, AWS. “We are committed to making quantum technology accessible to any customer to experiment and explore the technology’s potential to develop industry-focused solutions that solve meaningful customer challenges.”

Synergistic collaboration

QEP and AWS forged the collaboration on a common goal of growing capabilities in the quantum community.

Since its establishment, QEP has supported eight major research projects to further the development of quantum technologies. New projects include exploring more powerful hardware and software solutions for quantum computers (which could eventually outperform today’s supercomputers) for commercial tasks like optimising delivery routes for goods, simulating chemicals to help design drugs, or making manufacturing more efficient. These solutions could become a reality when larger, more advanced quantum computers become available. Meanwhile, the National Quantum-Safe Network will see the integration of highly secure quantum communication systems into local fibre networks.

QEP also nurtures opportunities that involve local and international companies in Singapore’s vibrant innovation ecosystem.

AWS supports democratised access to quantum computing through Amazon Braket, a fully managed quantum computing service that helps researchers and developers get started with the technology to accelerate research and discovery. Amazon Braket provides access to three types of quantum hardware, including quantum annealers and gate-based systems built on superconducting qubits and on trapped ions, as well as tools to run hybrid quantum and classical algorithms. Amazon Braket’s cross-platform developer tools provide a consistent experience so users do not need to learn multiple development environments, making it easy to explore which quantum computing technology is the best fit for an application.

“QEP is preparing Singapore to be a hub for innovation in quantum devices and services, and making this a success will require combining efforts with industry,” said Associate Professor Alexander Ling, Director of the QEP. “We are delighted that AWS is bringing its breadth and depth of cloud technologies to support this shared vision. We look forward to seeing the outcomes of this collaboration,” added Assoc Prof Ling, who is also from the NUS Department of Physics, and is a Principal Investigator at the Centre for Quantum Technologies.

This text is from a press release issued by NUS. Read the original release here.

Image: (Front row, from left) Professor Chen Tsuhan, NUS Deputy President (Research and Technology), with Ms Tan Lee Chew, ASEAN Managing Director, Worldwide Public Sector, AWS, inked the Memorandum of Understanding (MoU) between NUS and AWS. With them are (back row, from left) Associate Professor Alexander Ling, Director of the QEP, Mr Quek Gim Pew, Senior R&D Consultant, Ministry of Defence, and Mr Chen Guan Yow, Vice President and Head (New Businesses), Economic Development Board.

Project Name

Project description

Lead PI: Name
Co-PI: Name

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Towards A Scalable Quantum Machine Learning Solution Using Trapped Ions

Lead PI: Manas Mukherjee, NUS
Co-Pi: Li Hongyu, IME A*STAR

Resource Efficient Quantum Algorithms And Applications For Chemistry, Route Optimization And Finance

Lead PI: Dimitris Angelakis, NUS
Co-PIs: Adrian Mak, IHPC , A*STAR; Daniel Leykam, CQT, NUS; Paul Griffin, SMU

Advanced Quantum Processor Platform

Lead PI: Rainer Dumke, NUS
Co-PIs: Do Anh Tuan, IME, A*STAR; Chui King Jien, IME, A*STAR; M Kumarasamy Raja, IME, A*STAR

Quantum photonics for superresolution confocal fluorescence microscopy

To increase the resolution of fluorescence imaging techniques beyond presumed limits.

Lead PI: Mankei Tsang, Department of Electrical and Computer Engineering, NUS

Quantum Foundry

To build capability to design, fabricate and characterise chips related to quantum technology, including for qubits. 

Lead PI: Manas Mukherjee, Centre for Quantum Technologies, NUS

A CMOS ion trap for integrated clocks

To pursue miniaturisation of components for atomic clocks. 

Lead PI: Murray Barrett, Centre for Quantum Technologies and Department of Physics, NUS

A fibre-based quantum device

To develop a long-lived quantum memory based on cold atoms inside hollow-core fibres. 

Lead PI: Lan Shau-Yu, School of Physical & Mathematical Sciences, NTU 

Integrated quantum receiver for single photon detection

To improve technology for single-photon detection.

Lead PI: Gong Xiao, Department of Electrical and Computer Engineering, NUS

Cost-effective and fast multi-user quantum key distribution (QKD) network with an untrusted centralized quantum server

To implement a measurement-device independent protocol with chip-based components. 

Lead PI: Charles Lim, Centre for Quantum Technologies and Department of Electrical and Computer Engineering, NUS (now at JP Morgan)

Superconducting nanowire single photon detectors

To improve technology for single-photon detection.

Lead PI: Cesare Soci, School of Physical & Mathematical Sciences, NTU

Fabrication of ultra-pure ‘quantum grade’ diamond via MPCVD

This project has a specific objective to develop an integrated low-noise multi-channel active quenching chip to control the discrete GM-APD for high-speed SPC. The proposed circuitry aims to increase the SPC maximum counting speed substantially by reducing the system dead time with unique hardware approaches from both circuit design and device packaging perspectives. This solution is highly scalable and programmable, it provides the flexibility to be configured for different applications and integration with different types of GM-APD devices. This project aims to provide an essential building block for the advanced quantum instrument platform. It will become an enabling technology for many novel high-speed compact quantum systems, which can be adopted by the local and global quantum research community to explore various applications deployed in space or other portable scenarios.

Lead PI: Edwin Hang Tong Teo, NTU
Co-PI: Gao Weibo, NTU

Development of Integrated Chips to Control Geiger-mode Avalanche Photo-Diodes for High Speed Single-Photon Counting

Single-photon counting (SPC) is a cornerstone technology for many quantum engineering applications like quantum cryptography, quantum information processing and quantum imaging, where the detection of single-photon with high temporal resolution is required. Geiger-mode avalanche photodiode (GM-APD) or called single-photon avalanche diode (SPAD) is widely recognized as the best candidate for single-photon detector because of its outstanding performance at room temperature, miniaturized size and low fabrication cost. After a photon is detected, the GM-APD device need to be quenched and reset to the initial condition. Therefore, minimizing the dead time of single-photon detector is the key approach to build a high-speed SPC module.

Lead PI: Gao Yuan, IME, A*STAR
Co-PIs: Alexander Ling, NUS; Do Anh Tuan, IME, A*STAR; Zhang Tan-tan, IME, A*STAR

Single Photon Detectors for Quantum Sensing and Communications

Integrated photonics are a promising route towards scalable quantum photonics technologies. Integrated photodetectors will be an essential component of such platforms. Avalanche photodetectors (APDs) are an important alternative to superconducting photodetectors as they do not require cryogenic environments. This project aims to develop integrated APDs for visible light, which will enable quantum information and sensing applications based on quantum emitters operating at visible wavelengths, such as trapped ions, colour centers in diamond, quantum dots, 2D materials, etc. Such devices will also greatly benefit application areas such as visible-light communications and low-light imaging.

Lead PI: Victor Leong, IMRE, A*STAR
Co-PIs: Thomas Ang, IHPC, A*STAR; Alexander Ling, NUS

Quantum sensing for health science based on NV centers in diamond

The main research target of this proposal is to leverage room temperature quantum sensors, based on NV centers in diamond, for detecting protein-based biomarkers for cancer and viral infection, and Nanoscale NV center magnetic resonance imaging for disease diagnosis. The proposed research lies at the intersection of topics in quantum sensing, scanning probe microscopy, confocal microscopy and health science. The result of the proposal would facilitate magnetic imaging techniques with high sensitivity for biological and
medical applications.

Lead PI: Gao Weibo, NTU
Co-PIs: Liu Xiaogang, CHE, NUS; Miao Yansong, SBS, NTU

Quantum imaging for aging studies exemplified by lipid content detection of bio-tissues

Hyperspectral infrared (IR) microscopy has become an increasingly useful tool for biomedical applications in the last three decades. It allows the spatial mapping of chemical fingerprints which can be correlated with biological states and functions. However, despite the usefulness and strong interest, the field is impeded by the high cost, complexity, and inferior performance of IR optical components. To overcome these challenges, we leverage the phenomenon of “quantum imaging with undetected photons” to retrieve IR images from the detection of correlated photons at the visible range.
Our project aims demonstrating a practical quantum hyperspectral IR microscope built out of optical components operating in the visible. The microscope will be able to capture the lipid content in tissue samples from IR fingerprints. This will enable differentiation between “young” and “aged” tissues, potentially laying the foundation for novel biomarkers and personalised medicine approaches. As a result, this programme will bring quantum IR imaging into practical realization and widespread adoption based on its low-cost, versatility and multi-functionality of the system.

Lead PI: Anna Paterova, IMRE, A*STAR
Co-PI: Gianluca Grenci, MBI, NUS

Quantum Assisted Navigation and Magnetic Sensing

This project aims to develop inertial sensors that are based on measurements of the quantum states of ultracold atoms, a magnetic sensor relying on NV-centres in diamond, and low-noise, high-stability lasers that can be integrated into these devices. Interest in inertial sensors is driven by applications in navigation: precise measurement of acceleration and rotation could support navigation in areas where the Global Positioning System (GPS) is unavailable or unreliable. The team aims to beat the performance of today’s military-grade systems, which are showing errors of ~100m per hour, which is 1-2 orders of magnitude larger than GPS. Magnetic sensing is useful for environmental monitoring, and this project will explore the technology’s ability to detect moving objects.

Lead PI: Rainer Dumke Nanyang Technological University
Co-PIs: Christoph Hufnagel, CQT, NUS; David Wilkowski, NTU; Ben Olsen, Yale-NUS; Lan Shau-Yu, NTU; Gao Weibo, NTU; Wong Chee Wei, NUS; Alexander Ling, NUS

Plasmonic nanopore: Toward on-chip quantum-based genome sequencing

Plasmonic nanopores present a promising approach for achieving rapid and accurate DNA sequencing. In this project, we propose a lateral bowtie-in-slot nanoplasmonic configuration for high-precision DNA sequencing and dynamic switching by tuning the operational states of the incident laser. When the laser is ON, a plasmonic hot spot is generated at the gap region of the bowtie; the optical force within the hot spot immobilizes the DNA molecules, generating stable surface-enhanced Raman scattering (SERS) signals. Meanwhile, the presence of DNA molecules induces modifications in the channel impedance, leading to alterations in the ion current of the system. Conversely, when the laser switches OFF, the optical forces diminish due to the absence of the plasmonic hot spot, allowing the DNA molecules to regain mobility. Sequential DNA molecule sequence information can thus be obtained by modulating the laser’s operational states. At the back end of the plasmonic nanopore, we will also explore the integration of AI algorithms that may enable rapid and accurate reconstruction of DNA sequences. Compared with conventional nanopores, our design facilitates simultaneous electro-optical DNA sensing through dynamic switching, significantly enhancing sequencing accuracy and reducing processing time. Moving forward, our plasmonic nanopore configuration provides an on-chip detection platform, holding great promise for enabling massively parallel DNA sequencing.

Lead PI: Wu Lin, SUTD
Co-PIs: Dong Zhaogang, IMRE, A*STAR; Qiu Cheng-Wei, ECE, NUS; Gao Weibo, NTU

Optical Ranging using Thermal Light

We propose to develop a method and device for optical range finding without introducing timing modulation in the light source, by exploiting the timing correlations in thermal light.
The problem to address is how to perform a ranging measurement using stationary light. This avoids a time modulation of the ranging light source, which may allow it to be detected by a third-party and be susceptible to optical crosstalk, be it accidentally introduced e.g., by other lidar modules nearby in a growing fleet of autonomous vehicles, or intentionally so by a malicious third-party.

Lead PI: Tan Peng Kian, NUS
Co-PI: Christian Kurtsiefer, NUS

Exploration of a fibre communications network for seismic sensing

This project aims to make use of deployed optical fibers and explore their usage for seismic sensing purposes. For this, a hopefully shot-noise limited heterodyne interferometer is developed, that can sense the phase change of light passing through a probe fiber with respect to a local reference. As the length change of a deployed optical fiber is associated with a phase change of this signal, and phase changes with a reasonably high accuracy can be established that should ultimately be limited by the quantum fluctuations in the light field received, very small length changes due to strain caused by seismic events should be detectable. Such a sensor can run on an optical fiber outside the normal Internet traffic, and thereby should not be a heavy load on resources. Given the vast amount of fiber deployed in a metropolitan area, such fiber sensors could form an array of seismometers with relatively little hardware effort. The goals of this project are to determine the sensitivity of an interferometric length change, look for a correlation between a seismic event registered by conventional detectors, and assess the opportunities for deploying a distributed fiber sensing network. 

Lead PI: Christian Kurtsiefer, NUS

Building non-cryogenic centimeter scale magnetometers with 10 fT/Hz1/2 sensitivity in Singapore for Earth science and defense applications

Ultra-sensitive magnetometers can be used in diverse applications ranging from brain/heart imaging to mineral and geomagnetic surveys. By using ultra-sensitive magnetometers, it is also possible to envision performing nuclear magnetic resonance (NMR) or magnetic resonance imaging (MRI) without using large and expensive magnets, which can significantly decrease the cost of NMR and MRI machines while increasing their portability. Such magnetometers can also be used to probe the nuclear quadrupole resonance (NQR) of various chemicals, which can be useful for pharmaceutical control applications, as well as in explosives or narcotics detection.
In this project, we are developing alkali atomic scalar magnetometers as the next-generation of ultra-sensitive magnetometers that are capable of reaching fT/sqrt(Hz) sensitivities without needing the cryogenic cooling that current state-of-the-art Superconducting Quantum Interference Devices (SQUIDs) require. This translates to significant cost-savings and flexibility in operation, which can not only enhance many of the applications listed above, but also unlock heretofore unexplored applications.

Lead PI: Lee Junyi, IMRE, A*STAR

Architecture and Protocols for the Quantum Internet

In pursuit of achieving net-zero emissions by 2050, Singapore is exploring the immense potential of geothermal energy as a promising renewable solution. Despite limited knowledge about its geothermal resources, a groundbreaking project led by renowned scientists, Professors Rainer and Wei from NTU, aims to bridge this gap by conducting an extensive investigation.

The project’s focal point is Sembawang, where advanced gravimeter sensors are utilized to measure gravity anomalies caused by subsurface fluids. Professor Rainer and his team have developed a cutting-edge quantum gravimeter capable of precise absolute gravity measurements. Simultaneously, Professor Wei and his team have deployed relative gravimeter stations at the Sembawang drilling site to obtain relative gravity values. By calibrating the relative gravimeter readings with absolute gravimeter data, the teams can generate a detailed map of absolute gravity anomalies across the test site.

Additionally, seismic sensors are being deployed by Professor Wei and his team to detect potential seismic signals originating from active faults beneath the subsurface. The integration of gravity and seismic surveys within this project promises crucial insights into subsurface geothermal energy, significantly contributing to future geothermal exploration in Singapore. Leveraging these innovative approaches, the project aims to pave the way for a sustainable and greener future, aligning with Singapore’s net-zero emissions target by 2050. 

Lead PI: Rainer Dumke, NTU
Co-PIs: Benoit Taisne, NTU; Wei Shengji, NTU; Christoph Hufnagel, CQT, NUS

VCSEL-based quantum annealer

The aim of quantum annealing is to solve optimization problems efficiently through a physical system which naturally evolves towards the ground state of a spin-Hamiltonian. A prerequisite of such a system is programmability of long-range qubit interactions (preferably each qubit should have a programmable interaction strength with every other qubit). Along with programmable qubit interaction strengths, an annealer must efficiently reach the ground state in a reasonable amount of time to complete a given computation. In this project, our objective is to implement a photonics-based annealer which naturally solves a relevant spin-Hamiltonian, operates at room temperature, and critically, achieves all-to-all programmable coupling of qubits with favorable scaling of system complexity with qubit count.

Lead PI: Aaron Danner, NUS
Co-PIs: Dr Lim Soon Thor, IHPC, A*STAR

Quantum processor with trapped ions

Trapped atomic ions are one of the leading platforms for implementation of quantum processors. It offers long coherence time, high gate fidelity, and good connectivity. In this project we are working on building a prototype of a small trapped ion quantum processor that allows us to explore two different models of quantum computing: traditional discrete variable computation model where all the information is encoded into the states of two level systems, qubits and the interaction between these qubits is enabled through the common modes of motion, as well as hybrid approach to quantum computations where information is stored and processed as the states of the harmonic oscillators, and interaction between these oscillators is induced via the spin-motional coupling.

Lead PI: Dzmitry Matsukevich, NUS

Quantum-Enhanced Modelling of Financial Time-Series Data for Rare Event Forecasting

The main purpose of the project is to investigate potential improvements in estimating the accuracy of the probability of an occurrence of a rare event in a specified time frame using quantum stochastic modelling in financial markets in collaboration with UOB. Rare events in financial time series can be seen as sporadic and drastic jumps in financial assets returns. A quantum stochastic simulation approach will be used to compute rare-event stochastic likelihoods, with greater speed and accuracy relative to the underlying structure of the parameters and dynamics accessible by sampling the conditional future of a complex process in quantum superposition. Furthermore, quantum models of complex processes can exhibit enhanced dimensional reduction resulting in less distortions from dimensional reduction of raw data. When coupled with quantum amplitude amplification and estimation algorithms, we can potentially get a better estimate of the probability of rare events while running fewer stochastic samples, as well as biasing sampling towards rare events to better understand their effects, and better isolate early signatures of such events. We will also consider the practicality of implementing such models for regulators and banks.

Lead PI: Gu Mile, NTU
Co-PIs: Paul Griffin, SMU; Vlatko Vedral, CQT, NUS; Ariel Neufeld, SPMS, NTU; Rajesh Balan, SMU

Quantum computing for accelerated design of auxetic mechano-luminescence materials

Quantum computing offers exponential acceleration potential compared to classical computing, making it of extraordinary significance in computational mechanics. This project focuses on harness the potential quantum speed advantage by transferring extensive computational tasks from classical computers to quantum computers. The objective is to accelerate computation with quantum computing, enabling the successful implementation of engineering optimization designs that are challenging for classical computers. To illustrate this methodology, we showcase an auxetic mechanoluminescence materials and develop a quantum computing-based optimization design platform. We will utilize quantum computing to perform topological optimization, through searching for the global optimum that maximizes the luminescent performance from an extensive range of possible topological structures. The platform developed in this project will be versatile and capable of extending to various application scenarios, providing effective and efficient methods for broad optimization design in engineering mechanics. 

Lead PI: Lu Dingjie, IHPC, A*STAR
Co-PIs: Tan Yu Jun, ME, NUS; Liu Zhuangjian, IHPC, A*STAR; Liu Jun, IHPC, A*STAR

Computer science approaches to quantum computing for finance

The project addresses the topic of quantum computing in finance through the lens of computer science. In particular, we address the challenges of the pricing of financial options and the optimization of portfolios. We pursue the design and development of quantum algorithms for these problems, focusing on possibilities, limitations, and progress towards realistic implementations. The algorithms are developed with input from domain experts and investment professionals.
Main projects:
i) Pricing of American and other options with quantum-accelerated Monte-Carlo methods.
ii) Partial differential equations for nonlinear Black–Scholes equations (e.g., with default risk) with quantum algorithms and deep learning.
iii) Aspects of quantum random access memory implementations such as the unbounded fan-out gate and global entangling gates.
iv) Sparse portfolio selection with quantum-accelerated (constrained) Lasso.
v) Compilation, circuit optimization, and benchmarking of common financial quantum subroutines.
vi) Quantum recommendation systems and online learning.

Lead PI: Patrick Rebentrost, NUS
Co-PIs: Miklos Santha, CQT, NUS; Chen Ying, Mathematics, NUS; Dai Min, Mathematics, NUS; Pun Chi Seng, SPMS, NTU; Antonios Varvitsiotis, SUTD; Marco Tomamichel, CQT, NUS; Rahul Jain, CQT, NUS; Hartmut Klauck, CQT, NUS; Anupam Chattopadhyay, SCSE, NTU

Atomic Engineering of Donor-based Spin Qubits in Silicon

We aim to advance spin-based qubits as a basic quantum computing resource through materials engineering in semiconductors. One leading platform is based on precision placed donors in silicon which is a mature technological material with many well-established processes for wafer level fabrication. Single- and two-qubit gates built on the silicon platfrom have been demonstrated with high fidelities by a few international groups in the last decade. The goal of this project is to establish the critical technology of precision donor placement in Singapore for (1) anchoring essential fabrication R&D in Singapore, (2) realising demonstration spin-qubits in silicon, (3) providing a local base for international collaboration in spin-qubits.

The first phase of 3 years is to build the infrastructure for precision donor-placement, develop the device fabrication and characterisation capabilities in Singapore, and train the local manpower. We collaborate with experts on materials modelling, quantum device design and quantum error correction algorithms to inform our developments. 

Lead PI:  Kuan Eng Johnson Goh, IMRE, A*STAR
Co-PIs: Bent Weber, SPMS, NTU; Koh Teck Seng, SPMS, NTU

Advancing cavity QED: materials and algorithms

Cavity QED setups are composed of one or a few atoms which interact with light focused by two mirrors. The interplay between light and atoms can lead to the emergence of different phases of matter and it can also be used for precision measurement devices. Such systems, however, are typically difficult to integrate in micro and nano electronic systems. Here, we aim to push towards the miniaturization and improved performance of cavity QED by (i) improving the classical models and algorithms used to study them, (ii) studying the effect of patterned mirrors, (iii) developing hybrid classical-quantum algorithms to study them or accelerate methods developed to characterize the mirrors. We also consider scenarios with multiple two-level systems in the cavity and we plan to apply the outcomes of these investigations to the use of (micro-)cavity QED as sensors.

Lead PI: Dario Poletti, SUTD
Co-PIs: Wu Lin, SUTD; Kwek Leong Chuan, CQT, NUS; Ricky Ang, SUTD;  Koh Enshan, Dax, IHPC, A*STAR; Khoo Jun Yong, IHPC, A*STAR; Wu Chunfeng, SUTD

A scalable, programmable atom-array platform for quantum simulation of dynamical and material physics

We aim to realize a scalable and programmable quantum simulator using reconfigurable arrays of ultracold atoms that are individually trapped in optical tweezers. This will be achieved on two fronts: first, we will develop new atom-sorting algorithms that allow us to demonstrate large-scale defect-free atom arrays; second, we will use Floquet techniques to increase the programmability of interactions between atoms in the tweezer array. These research directions will proceed in tandem with theory efforts to uncover interesting non-equilibrium states. The proposed research will be facilitated by close collaboration between researchers in experimental atomic physics, theoretical condensed matter physics, and computer science.

Lead PI:  Loh Huanqian, NUS
Co-PIs: Gong Jiangbin, Physics, NUS; Lee Ching Hua, Physics, NUS; Brian Lim Youliang, Computer Science, NUS

Quantum homomorphic encryption: the Swiss army knife for the quantum internet?

The aim of the project is to demonstrate a successful exchange of quantum information between different physical systems, and explore techniques to match wavelengths and coherence times of participating photons.

Lead PI: Marco Tomamichel, NUS

Optical fiber characterization and noise mitigation for quantum clock comparison and application

This project is to address a key challenge facing in the optical clock network, the noise (e.g., phase noise, timing jitter, frequency stability) in the coherent transport of an optical frequency over a long fiber-optic link, which is critical for a successful dissemination of optical frequency (e.g., Lu+ clock in Singapore) at an accuracy level of 10-18 and beyond.
The key objectives of this project are therefore to establish an optical network with local research ecosystem to carry out dedicated experiment:
1. To understand and characterize high-quality delivery of optical atomic clock signals through optical fibres, with the proposal of noise mitigation solutions.
2. To build a rack-mounted laser system for Lu+ clock and provide clock signals for characterizing the optical fiber link to be established.

After the project, a coherent optical-fiber link with noise characterized is expected to support the buildup of an optical clock network in Singapore in terms of reliability and performance (10−17 to 10−18), and the establishment of a key platform for applications in the fields of metrology, fundamental physics, navigation, and spectroscopy using Lu+ optical clock.

Lead PI: Meng Yusong, A*STAR National Metrology Centre
Co-PI: Assoc. Murray Douglas Barrett, CQT, NUS

Island-wide quantum key distribution using electrically driven single photon emitters

The physical systems that form stationary qubits are neutral atoms, color centers in solids, and ions in ion traps, while the flying qubits establishing quantum information exchange should be compatible with the high transparency windows of deployed telecom fiber in the C band or preferably O band.

Lead PI: Gao Weibo, NTU
Co-PI: Alexander Ling, CQT, NUS

Heterogenous quantum interfaces over metropolitan distances

This project aims to demonstrate entanglement or quantum information exchange across different physical systems by making use of optical qubits that ideally are compatible with telecom fibers.

Lead PI: Christian Kurtsiefer, NUS
Co-PIs: Gao Weibo, SPMS, NTU; Manas Mukherjee, CQT, NUS; Cesare Soci, SPMS, NTU

Evaluation of all-transparent optical routers for a quantum network embedded in a classical optical fiber network

This project aims to establish the hardware necessary to implement a dial-up transparent optical network for quantum communication riding on the existing fiber network in Singapore.
The core part of this project is to develop optical multiplexers that can bypass classical Internet routing hardware, and provide a reconfigurable optical routing on a spectral window that is not used for classical traffic. The main challenge was to identify and characterize the switching technology suitable for quantum traffic. A key requirement is that insertion loss should be minimal, and quantum states encoded in single photons need to be preserved. Switching times should be short compared to typical run times of quantum communication sessions, which last on a minute to hour time scale.
The project identifies a few switching technologies, and implements network-compatible devices with a simple software interface, and for different routing topologies.

Lead PI: Christian Kurtsiefer, NUS

Architecture and Protocols for the Quantum Internet

With the rise in practical and economically viable quantum computers or quantum information processors, various applications that require the exchange of quantum information between distributed devices are being developed or envisioned. A fundamental requirement for realizing these applications is the development of a network that is capable of generating, distributing, and processing quantum information (in addition to classical data). The objective of this project is to develop network layer solutions for the quantum Internet. While the quantum Internet focuses on the transfer of qubits and quantum entanglement, one of its key requirements is that it will co-exist and share the same physical resources (e.g. optical fibers) as the traditional Internet. This project specifically considers the problems associated with the co-existence of quantum Internet with next-generation data networks that are going to be based on softwarization and virtualization of network functions. The project aims to design and evaluate architectural and protocol level solutions that enable and manage this coexistence.

Lead PI: Biplab Sikdar, NUS
Co-PI: Purnima Murali Mohan, Infocomm Technology, SIT