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Dive into the research topics where Daniel K. Park is active.

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Featured researches published by Daniel K. Park.


New Journal of Physics | 2012

Three path interference using nuclear magnetic resonance: a test of the consistency of Born's rule

Daniel K. Park; Osama Moussa; Raymond Laflamme

The Born rule is at the foundation of quantum mechanics and transforms the classical understanding of probabilities by predicting that interference occurs between pairs of independent paths of a single object. One consequence of the Born rule is that three-way (or three-path) quantum interference does not exist. In order to test the consistency of the Born rule, we examine detection probabilities in three-path interference using an ensemble of spin-1/2 quantum registers in liquid state nuclear magnetic resonance. As a measure of the consistency, we evaluate the ratio of three-way interference to two-way interference. Our experiment bounded the ratio to the order of 10?3???10?3, and hence it is consistent with Borns rule.


Quantum Information Processing | 2015

Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling

Daniel K. Park; Guanru Feng; Robabeh Rahimi; Stéphane Labruyère; Taiki Shibata; Shigeaki Nakazawa; Kazunobu Sato; Takeji Takui; Raymond Laflamme; Jonathan Baugh

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 | 2016

Heat Bath Algorithmic Cooling with Spins: Review and Prospects

Daniel K. Park; Nayeli Azucena Rodríguez-Briones; Guanru Feng; Robabeh Rahimi; Jonathan Baugh; Raymond Laflamme


Journal of Magnetic Resonance | 2016

Randomized benchmarking of quantum gates implemented by electron spin resonance.

Daniel K. Park; Guanru Feng; Robabeh Rahimi; Jonathan Baugh; Raymond Laflamme

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Physical Review Letters | 2016

Estimating the Coherence of Noise in Quantum Control of a Solid-State Qubit

Guanru Feng; Joel J. Wallman; Brandon Buonacorsi; Franklin H. Cho; Daniel K. Park; Tao Xin; Dawei Lu; Jonathan Baugh; Raymond Laflamme


arXiv: Quantum Physics | 2014

Few-Qubit Magnetic Resonance Quantum Information Processors: Simulating Chemistry and Physics

Ben Criger; Daniel K. Park; Jonathan Baugh

13C-labeled malonic acid provides up to five spin qubits: one spin-half electron and four spin-half nuclei. The nuclei are strongly hyperfine-coupled to the electron and can be controlled either by exploiting the anisotropic part of the hyperfine interaction or by using pulsed electron nuclear double resonance techniques. The electron connects the nuclei to a heat-bath with a much colder effective temperature determined by the electron’s thermal spin polarization. By accurately determining the full spin Hamiltonian and performing realistic algorithmic simulations, we show that an experimental demonstration of heat-bath algorithmic cooling beyond the Shannon bound is feasible in both three-qubit and five-qubit variants of this spin system. Similar techniques could be useful for polarizing nuclei in molecular or crystalline systems that allow for non-equilibrium optical polarization of the electron spin.


Physical Review A | 2018

Efficient continuous-wave noise spectroscopy beyond weak coupling

Kyle Willick; Daniel K. Park; Jonathan Baugh

Application of multiple rounds of Quantum Error Correction (QEC) is an essential milestone towards the construction of scalable quantum information processing devices. The requirements for multiple rounds QEC are high control fidelity and the ability to extract entropy from ancilla qubits. Nuclear Magnetic Resonance (NMR) based quantum devices have demonstrated high control fidelity with up to 12 qubits. On the other hand, the major challenge in the NMR QEC experiment is to efficiently supply ancilla qubits in highly pure states at the beginning of each round of QEC. Purification of spin qubits can be accomplished through Heat Bath Algorithmic Cooling (HBAC). It is an efficient method for extracting entropy from qubits that interact with a heat bath, allowing cooling below the bath temperature. For practical HBAC, hyperfine coupled electron-nuclear spin systems are more promising than conventional NMR quantum processors, since electron spin polarization is about 103 times greater than that of a proton under the same experimental conditions. We provide an overview on both theoretical and experimental aspects of HBAC focusing on spin and magnetic resonance based systems, and discuss the prospects of exploiting electron-nuclear hyperfine coupled systems for the realization of HBAC and multiple-round QEC.


Quantum Information Processing | 2016

Erratum to: Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling

Daniel K. Park; Guanru Feng; Robabeh Rahimi; Stéphane Labruyère; Taiki Shibata; Shigeaki Nakazawa; Kazunobu Sato; Takeji Takui; Raymond Laflamme; Jonathan Baugh

Spin systems controlled and probed by magnetic resonance have been valuable for testing the ideas of quantum control and quantum error correction. This paper introduces an X-band pulsed electron spin resonance spectrometer designed for high-fidelity coherent control of electron spins, including a loop-gap resonator for sub-millimeter sized samples with a control bandwidth ∼40MHz. Universal control is achieved by a single-sideband upconversion technique with an I-Q modulator and a 1.2GS/s arbitrary waveform generator. A single qubit randomized benchmarking protocol quantifies the average errors of Clifford gates implemented by simple Gaussian pulses, using a sample of gamma-irradiated quartz. Improvements in unitary gate fidelity are achieved through phase transient correction and hardware optimization. A preparation pulse sequence that selects spin packets in a narrowed distribution of static fields confirms that inhomogeneous dephasing (1/T2(∗)) is the dominant source of gate error. The best average fidelity over the Clifford gates obtained here is 99.2%, which serves as a benchmark to compare with other technologies.


Archive | 2015

Randomized benchmarking of quantum gates for optimizing microwave control in ESR

Daniel K. Park; Guanru Feng; Robabeh Rahimi; Jonathan Baugh; Raymond Laflamme

To exploit a given physical system for quantum information processing, it is critical to understand the different types of noise affecting quantum control. Distinguishing coherent and incoherent errors is extremely useful as they can be reduced in different ways. Coherent errors are generally easier to reduce at the hardware level, e.g., by improving calibration, whereas some sources of incoherent errors, e.g., T_{2}^{*} processes, can be reduced by engineering robust pulses. In this work, we illustrate how purity benchmarking and randomized benchmarking can be used together to distinguish between coherent and incoherent errors and to quantify the reduction in both of them due to using optimal control pulses and accounting for the transfer function in an electron spin resonance system. We also prove that purity benchmarking provides bounds on the optimal fidelity and diamond norm that can be achieved by correcting the coherent errors through improving calibration.


arXiv: Quantum Physics | 2013

Qubit noise spectroscopy using a continuous driving field

Daniel K. Park; Jonathan Baugh

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Guanru Feng

University of Waterloo

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Ben Criger

University of Waterloo

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