Advancements over the past 25 years have been largely in understanding, proving and advancing the physics of quantum behaviour. It gave rise to the burgeoning field of quantum information processing, in which the quantum phenomena are used to perform fast and powerful algorithms for information processing, generally known as a Quantum Computer.
One of the hurdles to developing a quantum computer is the requirement to prepare, manipulate, and measure quantum bits with near perfect accuracy (fidelity) over a sufficiently long period (coherence time). This currently requires both exquisite materials understanding and an enormous infrastructure of control and signal processing electronics, photonics (optics, lasers, and detectors), and error correction algorithms.
A*STAR is pursuing a variety of quantum-related topics including quantum sensing, quantum computation, and quantum networking. These activities leverage existing capabilities across various A*STAR Research Institutes and Universities while growing A*STAR domain expertise into quantum technologies.
The key effort in this area is organized in the Quantum Technologies for Engineering Programme (QTE), launched in 2017. A key strategic focus of this programme is to leverage the key capability areas where Singapore might make a difference in achieving scientific impact. The programme is funded under the Advanced Manufacturing and Engineering Domain of Singapore’s Research Innovation and Enterprise (RIE) 2020 . It includes five projects and involves teams from A*STAR, NUS and NTU.
Aim of the programme
To demonstrate a scalable approach to the realisation of multiple logic qubit gates for quantum computation.
Potential industry impact
The programme will create a disruptive impact across multiple quantum technologies by enabling scaling, photonic component integration, and systems integration and contribute to talent development in this growth sector. In the long run, the programme will benefit Singapore industries by producing impact in banking and financial services, data centres, biomedical industry, infocomm, and microelectronics.