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Quantum Computation and Intelligent Systems

The ‘Centre for Quantum Computation & Intelligent Systems (QCIS)’ is a Research Strength centre within the University of Technology that develops theoretical foundations in, and innovative technologies for, quantum computation and intelligent systems. Our five major research programs cover:

Bulletquantum computation and information processing;
Bulletdata mining and knowledge discovery;
Bulletdecision support, uncertain systems and e-service intelligence;
Bulletinnovation and entrepreneurial practice; and
Bulletinfrastructure enhancement.

Together, these programs develop a set of innovative and practical methodologies and techniques for intelligent information processing and systems that are applied to a broad range of businesses, including finance, marketing, security, health, telecommunications, government and engineering.

The Centre is staffed by approximately twenty senior scientists, ten post-doctoral fellows, and one hundred research students.  Our mission to be acknowledged by research centres throughout the world as a pre-eminent research centre and by Australian industry and government as a leading source of knowledge and expertise in our field.

The Centre’s aims are:

  • To strategically concentrate the Centre’s research effort to maintain our status as a World leader in quantum computation and selected areas in intelligent systems.
  • To maintain competitive grant income for the Centre at an exemplary level that is commensurate with the Centre’s size and profile.
  • To ensure the QCIS brand represents excellence in leading research in quantum computation and intelligent systems.
  • To ensure that QCIS is always a centre that understands and can solve the problems of Australian government and industry.
  • To provide state-of-the-art facilities and support for the Centre's members.

You can download a one-page information sheet on QCIS here (.pdf format 220 KB). You can find out about collaborative partnerships with QCIS by downloading the 6-page brochure. Click on the links below to vew the QCIS annual reports in PDF format:

Recent News

Decision Systems and e-Service Intelligence

Professor Jie Lu, Director

The Decision Systems and e-Service Intelligence Laboratory focuses on the development of theories, methods, and software tools and applications, in the areas of decision support systems, computational intelligence, uncertain information processes and e-service intelligence. Key research areas:

Decision support systems; multi-criteria decision making; multi-level decision making; fuzzy optimisation and fuzzy decision making; uncertain information processing; situation awareness; cognitive decision models; learning-based prediction; web intelligence and ontology; e-Service and e-Business intelligence; e-Government service personalisation; recommendation systems; case-based reasoning and maintenance; genetic algorithms; early warning systems; emergency and risk management.

Cloud computing is also a major research initiative in the DeSI Lab, focusing on: smart e-Government Health Systems; next-generation cloud resources management; cloud computing and e-services integration; automated service level agreement (SLA) formation, monitoring, and assurance of SLAs; could-based data analytics; all in a cloud environment. See the DeSI Lab's one-page brochure on Cloud Computing Research.

Application domains include: material, produce and service evaluation; social crisis prediction, warning and anti-terrorism; business strategy and resource planning; logistics and customer relationship management; online service systemes; and, finance situation warnings.

Quantum Computation

Professor Runyao Duan, Director

Quantum Computation research uses quantum mechanics to develop computer technology. Quantum computers, though very powerful, are susceptible to errors, and it is very important to know how to correct them. QCL undertakes research into these problems and is committed to researching software for quantum computers by studying theoretical questions arising in the field of quantum computation and information. QCL seeks to understand the differences between classical information processing models and their quantum counterparts in order to further reveal the power of quantum computation. The Lab also seeks to develop a quantitative entanglement theory, and to explore connections between artificial intelligence and quantum computing.

This technology will result in next-generation enterprise intelligent information systems and lead to new, efficient quantum algorithms and information processing methods.Three topics of great interest to QCL are:

  • Theoretical foundations of quantum computation.
  • Basic information processing problems in quantum information theory.
  • Understanding entanglement as a resource and developing a quantitative theory about entanglement.
Ten QCIS papers have been accepted to the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015). IJCAI is the top international conference for artificial intelligence research and held biennially in odd-numbered years since 1969; in 2015, total 575 papers (28.8 %) were accepted out of a record-breaking 1996 submissions!
The Quantum Computing Lab (QCL) will be showcasing a range of their recent research in Seoul this August, with three separate papers accepted for presentation.
QCIS Post-doctoral researcher, Dr Peter Rhode, and his work are making headlines in Physical Review Letters and the Sydney Morning Herald! Dr Rhode of QCIS and PhD Student, Keith Motes of Macquarie University, are part of a team of six collaborators that have developed a very precise measurement technique using single photons.
Researchers from the DSKD Lab at QCIS have recently been awarded a $550,000 ARC 2015 Linkage Grant, in partnership with Mission Australia, to build an interactive mining system to detect cyber-bullying on social networks.

Get in touch

City Campus:

Room 119, Level 10,
UTS Building 11
235 Jones Street
Ultimo NSW 2007
 
Director: Professor Chengqi Zhang 
Phone: 9514 7941
 
Research Director: Professor Mingsheng Ying 
Phone: 9514 1873