Quantum physics has an enormous potential to transform computing technology. When making the leap from a PC or supercomputer to a quantum computer, the logical processing and the physical basis change in dramatic ways. The basis for the PC is classical physics, but for the quantum computer it is quantum physics, opening the door to non-intuitive properties such as superposition and entanglement. On the logical side, the elementary unit of information changes from the bit to the qubit, allowing for entirely novel ways of data processing.

Quantum computers with a restricted number of qubits have recently been demonstrated in several laboratories. However, owing to the unusual properties of quantum algorithms even a small number of qubits may be sufficient to obtain meaningful computational results. The goal of this research program is to demonstrate that existing and near-term (5-8 years) quantum computing (QC) technologies can be used to generate meaningful computational results of scientic and/or commercial value that cannot be efficiently obtained through classical computation alone. It will approach this through a unique-to-QMI coordinated effort to develop novel strategies for using present day (NISQ-era) QC hardware. We will focus on:

- Fundamental quantum computing theory relevant to the potential use of symmetry and topological properties of quantum states

- The experimental realization of novel quantum hardware designed to carry out special purpose quantum simulations, and

- The integration of 1 and 2, along with conventional quantum and classical programming, into a hybrid approach employing Bayesian machine learning. The utility of these novel strategies will be tested by applying them to solve a select set of scientifically important problems, chosen mostly from the field of Quantum Materials.

Once validated in specific applications, the QC techniques we develop should be generally applicable to a wide range of other engineering, economic, medical and materials problems.

**Principal Investigators**

**Robert Raussendorf, Team Lead **

SBQMI

UBC Physics & Astronomy

**Ian Affleck**

SBQMI

UBC Physics & Astronomy

**Mona Berciu**

SBQMI

UBC Physics & Astronomy

**Sarah Burke**

SBQMI

UBC Physics & Astronomy

**Lukas Chrostowski**

SBQMI

UBC Electrical & Computer Engineering

**Josh Folk**

SBQMI

UBC Physics & Astronomy

**Marcel Franz**

SBQMI

UBC Physics & Astronomy

**Roman Krems**

SBQMI collaborator

UBC Chemistry

**Joe Salfi**

SBQMI Collaborator

UBC Electrical & Computer Engineering

**Jeff Young**

SBQMI

UBC Physics & Astronomy

**Eran Sela**

SBQMI Collaborator

University of Tel Aviv

##### Current Opportunities

SBQMI is looking to fill a number of important positions for this high-profile project. The team will work closely together to deliver the objectives set out above. Postdoctoral fellows will be expected to exhibit leadership and be able to work independently to deliver results. Contact Robert Raussendorf if you would like to find out more about the role.