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Research at GTQI - Quantum Information Processing
Overview
Quantum Information Processing
Quantum Communication
Quantum Simulation
Fundamental Quantum Studies
Microfabricated ion traps
A major challenge for the future is to increase the number of trapped ions that can interact to
perform quantum processing from the present values, near 10 ions, to hundreds of ions in 2D arrays.
There will be an aggressive design program for developing new chip-based traps. This work will build upon previous work at NIST, University of Michigan, Bell Labs and Sandia. There will be an emphasis on scalable designs that can be used for quantum simulation; however, more specialized traps will also be developed for heating studies, photonics and microwave coupling. Low temperature traps, including superconducting trap electrodes, will be explored in order to minimize ion heating and RF power dissipation. This design work will require field calculations, numerical simulations, materials development as well as new packaging and fabrication techniques.
A key effort at GTQI will be to draw on the strength of the micro-fabrication facilities at Georgia Tech, especially at the new Nanotechnology building. There will be an emphasis on fast turn-around prototyping based on feedback from the ion trapping experiments. For example, trap loading efficiency, ion heating rates and ion shuttling efficiency are important parameters that will be tested and fed back to the fabrication process. Off-site fabrication and development of industrial fabrication partners will also be pursued in parallel.
Ken Brown, Michael Chapman, Dick Slusher, MiRC (external link), and GTRI (external link)
Photonic coupling
Techniques and protocols for coupling ion qubits to optical and microwave photons will be developed and implemented. These couplings provide natural primitives for quantum communication and the transfer of quantum information and entangled states within a quantum processor. Both free space and cavity based coupling schemes will be explored. Ions in cavity resonators may also be of interest as nonlinear beam splitters for enhanced resolution quantum imaging devices.
Michael Chapman, Alex Kuzmich, Brian Kennedy, Dick Slusher, and Li You
Neutral atom and molecule systems
Neutral atom systems will continue to be developed using ultra-cold atoms. Although the current state-of-the art in neutral atom systems lags behind the ion based systems, there are advantages to scaling to large numbers of qubits in the atom systems because of the flexibility of various trapping techniques and the absence of coulomb interactions between the trapped particles. It is anticipated that the extensive technology developed for creating and studying neutral quantum degenerate gases will be applied to quantum information processing.
Trapped dipolar molecules is another interesting direction since the trap density can be very high and the qubits, based on rotational states of dipolar molecules, can be tuned in and out of resonance with microwave fields with control voltages beneath the trapping regions. This qubit implementation has the enormous advantage that it would not require laser control of the qubit states.
Ken Brown, Michael Chapman, Brian Kennedy, Alex Kuzmich, Chandra Raman, Dick Slusher, and Li You
Algorithms, architectures and logic gates
New quantum algorithms are still emerging from the exploration of quantum information; a new one was discovered as recently as January 2007. The Institute plans to continue searching for new algorithms and studying applications for those already discovered.
Implementing these algorithms in a physical quantum computer is a very challenging task. Errors in the physical qubit gates are presently several orders of magnitude higher than those that are expected to result in fault tolerant quantum computing. There remains much work to be done in the area of quantum error correction in order to understand the optimum error correcting processes.
The architecture of the quantum computation is also a field that is just beginning to evolve. How can we optimize concurrency, number of physical qubits, quantum gate function, communication between qubits, quantum memory, classical programming and depth of computation (time interval for completing a computation)? This space of variables for quantum computation is just beginning to be explored.
Jean Bellissard, and John Cortese
A major challenge for the future is to increase the number of trapped ions that can interact to
perform quantum processing from the present values, near 10 ions, to hundreds of ions in 2D arrays.
There will be an aggressive design program for developing new chip-based traps. This work will build upon previous work at NIST, University of Michigan, Bell Labs and Sandia. There will be an emphasis on scalable designs that can be used for quantum simulation; however, more specialized traps will also be developed for heating studies, photonics and microwave coupling. Low temperature traps, including superconducting trap electrodes, will be explored in order to minimize ion heating and RF power dissipation. This design work will require field calculations, numerical simulations, materials development as well as new packaging and fabrication techniques.
A key effort at GTQI will be to draw on the strength of the micro-fabrication facilities at Georgia Tech, especially at the new Nanotechnology building. There will be an emphasis on fast turn-around prototyping based on feedback from the ion trapping experiments. For example, trap loading efficiency, ion heating rates and ion shuttling efficiency are important parameters that will be tested and fed back to the fabrication process. Off-site fabrication and development of industrial fabrication partners will also be pursued in parallel.
Ken Brown, Michael Chapman, Dick Slusher, MiRC (external link), and GTRI (external link)
Photonic coupling
Techniques and protocols for coupling ion qubits to optical and microwave photons will be developed and implemented. These couplings provide natural primitives for quantum communication and the transfer of quantum information and entangled states within a quantum processor. Both free space and cavity based coupling schemes will be explored. Ions in cavity resonators may also be of interest as nonlinear beam splitters for enhanced resolution quantum imaging devices.
Michael Chapman, Alex Kuzmich, Brian Kennedy, Dick Slusher, and Li You
Neutral atom and molecule systems
Neutral atom systems will continue to be developed using ultra-cold atoms. Although the current state-of-the art in neutral atom systems lags behind the ion based systems, there are advantages to scaling to large numbers of qubits in the atom systems because of the flexibility of various trapping techniques and the absence of coulomb interactions between the trapped particles. It is anticipated that the extensive technology developed for creating and studying neutral quantum degenerate gases will be applied to quantum information processing.
Trapped dipolar molecules is another interesting direction since the trap density can be very high and the qubits, based on rotational states of dipolar molecules, can be tuned in and out of resonance with microwave fields with control voltages beneath the trapping regions. This qubit implementation has the enormous advantage that it would not require laser control of the qubit states.
Ken Brown, Michael Chapman, Brian Kennedy, Alex Kuzmich, Chandra Raman, Dick Slusher, and Li You
Algorithms, architectures and logic gates
New quantum algorithms are still emerging from the exploration of quantum information; a new one was discovered as recently as January 2007. The Institute plans to continue searching for new algorithms and studying applications for those already discovered.
Implementing these algorithms in a physical quantum computer is a very challenging task. Errors in the physical qubit gates are presently several orders of magnitude higher than those that are expected to result in fault tolerant quantum computing. There remains much work to be done in the area of quantum error correction in order to understand the optimum error correcting processes.
The architecture of the quantum computation is also a field that is just beginning to evolve. How can we optimize concurrency, number of physical qubits, quantum gate function, communication between qubits, quantum memory, classical programming and depth of computation (time interval for completing a computation)? This space of variables for quantum computation is just beginning to be explored.
Jean Bellissard, and John Cortese