Logical Qubits

The Logical Qubits research focuses on the development of logical qubits from small-scale codes, to cluster-states and surface-code precursors, implemented using silicon, photonic and hybrid silicon-photonic platforms. It requires the integration of quantum hardware with algorithms, architectures and control software. The research is a collaboration between 13 Program Managers across five different institutions linking closely on Universal Quantum Computer (UQC) architectures, multi-qubit control, long-distance links between physical qubit arrays, environmental noise spectroscopy, integrated optical components and deterministic photonic entanglement.

People

Dr. Alberto   Peruzzo

Dr. Alberto Peruzzo

Work Package Leader

Programs

Quantum Algorithms and Complexity Program

The Quantum Algorithms and Complexity Program, led by Prof. Michael Bremner based at UTS, identifies applications for quantum computers that demonstrate power beyond classical computing. We focus on developing quantum computational tasks that are experimentally…

Quantum Processor Development Program

Led by Professor Lloyd Hollenberg, Deputy Director of CQC²T, the Quantum Processor Development Program's objective is to develop comprehensive theoretical descriptions of quantum information processing and the development of related quantum technology applications. The program pays particular…

Quantum Communication Theory Program

Quantum Communication is the transmission of information via the coherent exchange of quantum systems, usually optical. Its study has led to new communication technologies, for example quantum key distribution, a secure communication technique with no…

Optical Quantum Computing Theory

The Optical Quantum Computing Theory Program, led by Dr Austin Lund from the University of Queensland, expands understanding in the power of quantum computation from the perspective of quantum optics theory. Intermediate, or non-universal quantum…

Precision Qubit Processor Program

The Precision Qubit Processor Program led by Professor Michelle Y. Simmons has the ultimate goal of developing a scalable, phosphorus in silicon, quantum processor. Professor Simmons’s group leads the field internationally in making precision atomic…

Scale-up Engineering Program

Building a quantum computer is a major challenge in understanding the quantum effects that we want to put to practical use for computation. Along with that we have a big challenge in designing the control…

Integrated Silicon Nano-Spintronics Program

The Integrated Silicon Nano-Spintronics Program is led by Prof Andrew Dzurak. Based within the School of Electrical Engineering at UNSW Sydney, the Program provides the Centre with engineering design, modelling and nanofabrication of fully-configured silicon…

Silicon Qubit Environment & Interface Program

The Silicon Qubit Environment & Interface Program, led by Prof Sven Rogge at UNSW Sydney, aims to couple qubits in a robust manner from the atomic nano-meter length scale to macroscopic coupling via photons. On…

Silicon Quantum Hardware Program

The Silicon Quantum Hardware Program is led by Professor Andrea Morello based at UNSW Sydney. The research focuses on experimental control, readout and coupling of single P-atom spin qubits in silicon, for the construction of…

Directed Ion Implantation Program

The Directed Ion Implantation Program employs top-down deterministic methods for making devices by directing single ions to specific locations in silicon substrates that act as atomic qubits. Led by Professor David Jamieson, the research will…

Photonic Quantum Processor Program

The Photonic Quantum Processor Program will develop integrated single photon sources into complex photonic structures to produce and manipulate large-scale quantum states on chip. We will integrate arrays of quantum dots emitting at telecom wavelength…

Continuous-Variable Quantum Technology Program

The Continuous-Variable Quantum Technology Program is led by Dr. Nicolas Menicucci from RMIT University in Melbourne. World record-breaking experiments in recent years have revealed continuous-variable (CV) cluster states to be a highly promising technology for…