Guanru Feng
University of Waterloo
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Publication
Featured researches published by Guanru Feng.
Physical Review A | 2013
Guanru Feng; Gui Lu Long; Raymond Laflamme
Anyons have exotic statistical properties, fractional statistics, differing from Bosons and Fermions. They can be created as excitations of some Hamiltonian models. Here we present an experimental demonstration of anyonic fractional statistics by simulating a version of the Kitaev spin lattice model proposed by Han et al[Phys. Rev.Lett. 98, 150404 (2007)] using an NMR quantum information processor. We use a 7-qubit system to prepare a 6-qubit pseudopure state to implement the ground state preparation and realize anyonic manipulations, including creation, braiding and anyon fusion. A
npj Quantum Information | 2017
Dawei Lu; Keren Li; Jun Li; Hemant Katiyar; Annie Jihyun Park; Guanru Feng; Tao Xin; Hang Li; Gui Lu Long; Aharon Brodutch; Jonathan Baugh; Bei Zeng; Raymond Laflamme
\pi/2\times 2
Quantum Information Processing | 2015
Daniel K. Park; Guanru Feng; Robabeh Rahimi; Stéphane Labruyère; Taiki Shibata; Shigeaki Nakazawa; Kazunobu Sato; Takeji Takui; Raymond Laflamme; Jonathan Baugh
phase difference between the states with and without anyon braiding, which is equivalent to two successive particle exchanges, is observed. This is different from the
arXiv: Quantum Physics | 2016
Daniel K. Park; Nayeli Azucena Rodríguez-Briones; Guanru Feng; Robabeh Rahimi; Jonathan Baugh; Raymond Laflamme
\pi\times 2
Physical Review A | 2017
Keren Li; Guofei Long; Hemant Katiyar; Tao Xin; Guanru Feng; Dawei Lu; Raymond Laflamme
and
Journal of Magnetic Resonance | 2016
Daniel K. Park; Guanru Feng; Robabeh Rahimi; Jonathan Baugh; Raymond Laflamme
2\pi \times 2
Physical Review Letters | 2016
Guanru Feng; Joel J. Wallman; Brandon Buonacorsi; Franklin H. Cho; Daniel K. Park; Tao Xin; Dawei Lu; Jonathan Baugh; Raymond Laflamme
phases for Fermions and Bosons after two successive particle exchanges, and is consistent with the fractional statistics of anyons.
Physical Review A | 2016
Xing-Long Zhen; Fei-Hao Zhang; Guanru Feng; Hang Li; Gui Lu Long
Accurate and efficient control of quantum systems is one of the central challenges for quantum information processing. Current state-of-the-art experiments rarely go beyond 10 qubits and in most cases demonstrate only limited control. Here we demonstrate control of a 12-qubit system, and show that the system can be employed as a quantum processor to optimize its own control sequence by using measurement-based feedback control (MQFC). The final product is a control sequence for a complex 12-qubit task: preparation of a 12-coherent state. The control sequence is about 10% more accurate than the one generated by the standard (classical) technique, showing that MQFC can correct for unknown imperfections. Apart from demonstrating a high level of control over a relatively large system, our results show that even at the 12-qubit level, a quantum processor can be a useful lab instrument. As an extension of our work, we propose a method for combining the MQFC technique with a twirling protocol, to optimize the control sequence that produces a desired Clifford gate.Headline: Bootstrapping a 12-qubit quantum processorRealizing high accuracy control of quantum systems represents a crucial ingredient in building large-scaled quantum computers. An international team of researchers led by Raymond Laflamme at Canada’s Institute for Quantum Computing has succeeded in manipulating a 12-qubit nuclear magnetic resonance quantum processor with unprecedented precision. The researchers build a closed-loop pulse auto-tunning setup which employs the controlled system itself to optimize its own pulses. This gives to the benefits of more efficient pulse optimization and more robustness to system uncertainties. Because that the experiment achieves high level of individual controls over all of the qubits, it is at the cutting edge of experimental quantum computing. The experimental techniques are ready to be transferred to other quantum technologies, such as nitrogen-vacancy centers, trapped ions or superconducting circuits.
Archive | 2017
Dawei Lu; Keren Li; Jun Li; Hemant Katiyar; Annie Jihyun Park; Guanru Feng; Tao Xin; Hang Li; Gui Lu Long; Aharon Brodutch; Jonathan Baugh; Bei Zeng; Raymond Laflamme
The ability to perform quantum error correction is a significant hurdle for scalable quantum information processing. A key requirement for multiple-round quantum error correction is the ability to dynamically extract entropy from ancilla qubits. Heat-bath algorithmic cooling is a method that uses quantum logic operations to move entropy from one subsystem to another and permits cooling of a spin qubit below the closed system (Shannon) bound. Gamma-irradiated,
arXiv: Quantum Physics | 2018
Guanru Feng; Franklin H. Cho; Hemant Katiyar; Jun Li; Dawei Lu; Jonathan Baugh; Raymond Laflamme