Welcome to the Laboratory for Quantum Information with Trapped Ions (QITI) of Prof. K. Rajibul Islam! We are a predominantly experimental research group at the Institute for Quantum Computing and the Department of Physics and Astronomy at University of Waterloo, Ontario, Canada.
Laser-cooled trapped ions are among the most pristine and controllable quantum systems. Research performed in Prof. Islam’s group is currently focused on the following:
Quantum simulation: The QITI laboratory is building a programmable trapped-ion quantum simulator with 171Yb+ qubits, with optical controls at the level of individual ions for studying problems in quantum many-body physics and computation.
QuantumION: In collaboration with Prof. Crystal Senko’s group and supported by Transformative Quantum Technologies (TQT)
, we are building an open-access, remotely operable trapped-ion quantum computer (QuantumION). The hardware is based on up to sixteen 133Ba+ ion-qubits.
University of Waterloo and University of Strathclyde, Glasgow, UK hosted their first virtual research colloquium on 12 Nov, 2020. Nikolay presented a talk on behalf of the QuantumION project, focusing on our design for individual addressing of Barium qubits.
His talk was judged to be the best UW presentation of the day! Congrats, Nik!
Dr. Manas Sajjan defends his MSc thesis online! His MSc work included both theoretical and experimental aspects. On the theoretical side, Manas investigated the role of optical tweezer potentials on ions confined in a radio-frequency (RF) trap. Optical tweezers would allow for local control of the confining potential, which can be used for investigating quantum thermodynamics. On the experimental side, Manas was part of the team that built our four-rod trap. He fabricated the electrodes, built the RF resonator which powers them, and worked on optics.
Over the years, trapped ion have emerged as one of the premier candidates for universal quantum simulation due to its long coherence time, low initialization and detection errors, robust high-fidelity gate sets and fully connected yet tunable spin-graph. In this thesis we exclusively focus on the generation of the trapping potential in a four-rod trap, one of the most commonly studied ion-trapping architecture.
Trapped ion quantum simulators can in principle simulate an arbitrarily connected spin model. This requires precise programming of the ions with laser beams. In this paper, we numerically show that modern machine learning methods can be employed to program a trapped ion quantum simulator to simulate spin Hamiltonians on an arbitrary lattice geometry.
Trapped ion is one of the leading platforms for quantum simulation experiment due to its long coherence time and high fidelity state initialization, detection, and manipulation. To individually address ions at a single-ion level, it requires sophisticated optical engineering. In the thesis, we present a novel single qubit addressing system that is immune to imperfections of optical imaging and can scale to different size of the system.