Roohollah Ghobadi
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View article: Programmable photonic quantum walks on lattices with cyclic, toroidal, and cylindrical topology
Programmable photonic quantum walks on lattices with cyclic, toroidal, and cylindrical topology Open
Photonic implementations of unitary processes on lattice structures, such as quantum walks, have been demonstrated across various architectures. However, few platforms offer the combined advantages of scalability, reconfigurability, and th…
View article: Programmable photonic quantum walks on lattices with cyclic, toroidal, and cylindrical topology
Programmable photonic quantum walks on lattices with cyclic, toroidal, and cylindrical topology Open
Photonic implementations of unitary processes on lattice structures, such as quantum walks, have been demonstrated across various architectures. However, few platforms offer the combined advantages of scalability, reconfigurability, and th…
View article: Phase-space negativity as a computational resource for quantum kernel methods
Phase-space negativity as a computational resource for quantum kernel methods Open
Quantum kernel methods are a proposal for achieving quantum computational advantage in machine learning. They are based on a hybrid classical-quantum computation where a function called the quantum kernel is estimated by a quantum device w…
View article: Phase-space negativity as a computational resource for quantum kernel methods
Phase-space negativity as a computational resource for quantum kernel methods Open
Quantum kernel methods are a proposal for achieving quantum computational advantage in machine learning. They are based on a hybrid classical-quantum computation where a function called the quantum kernel is estimated by a quantum device w…
View article: Photons guided by axons may enable backpropagation-based learning in the brain
Photons guided by axons may enable backpropagation-based learning in the brain Open
Despite great advances in explaining synaptic plasticity and neuron function, a complete understanding of the brain’s learning algorithms is still missing. Artificial neural networks provide a powerful learning paradigm through the backpro…
View article: The Power of One Clean Qubit in Supervised Machine Learning
The Power of One Clean Qubit in Supervised Machine Learning Open
This paper explores the potential benefits of quantum coherence and quantum discord in the non-universal quantum computing model called deterministic quantum computing with one qubit (DQC1) in supervised machine learning. We show that the …
View article: Photons guided by axons may enable backpropagation-based learning in the brain
Photons guided by axons may enable backpropagation-based learning in the brain Open
Despite great advances in explaining synaptic plasticity and neuron function, a complete understanding of the brain’s learning algorithms is still missing. Artificial neural networks provide a powerful learning paradigm through the backpro…
View article: Photons guided by axons may enable backpropagation-based learning in the brain
Photons guided by axons may enable backpropagation-based learning in the brain Open
Despite great advances in explaining synaptic plasticity and neuron function, a complete understanding of the brain's learning algorithms is still missing. Artificial neural networks provide a powerful learning paradigm through the backpro…
View article: Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics
Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics Open
We propose a quantum repeater architecture that can operate under ambient conditions. Our proposal builds on recent progress towards non-cryogenic spin-photon interfaces based on nitrogen-vacancy centers, which have excellent spin coherenc…
View article: Photons guided by axons may enable backpropagation-based learning in the brain
Photons guided by axons may enable backpropagation-based learning in the brain Open
Despite great advances in explaining synaptic plasticity and neuron function, a complete understanding of the brain’s learning algorithms is still missing. Artificial neural networks provide a powerful learning paradigm through the backpro…
View article: Nonclassical kernels in continuous-variable systems
Nonclassical kernels in continuous-variable systems Open
Kernel methods are ubiquitous in classical machine learning, and recently their formal similarity with quantum mechanics has been established. To grasp the potential advantage of quantum machine learning, it is necessary to understand the …
View article: $\textit{Ab initio}$ and group theoretical study of properties of the $\text{C}_\text{2}\text{C}_\text{N}$ carbon trimer defect in h-BN
$\textit{Ab initio}$ and group theoretical study of properties of the $\text{C}_\text{2}\text{C}_\text{N}$ carbon trimer defect in h-BN Open
Hexagonal boron nitride (h-BN) is a promising platform for quantum information processing due to its potential to host optically active defects with attractive optical and spin properties. Recent studies suggest that carbon trimers might b…
View article: Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics
Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics Open
We propose a quantum repeater architecture that can operate under ambient conditions. Our proposal builds on recent progress towards non-cryogenic spin-photon interfaces based on nitrogen-vacancy centers, which have excellent spin coherenc…
View article: Analyzing photon-count heralded entanglement generation between solid-state spin qubits by decomposing the master-equation dynamics
Analyzing photon-count heralded entanglement generation between solid-state spin qubits by decomposing the master-equation dynamics Open
We analyze and compare three different schemes that can be used to generate\nentanglement between spin qubits in optically-active single solid-state quantum\nsystems. Each scheme is based on first generating entanglement between the spin\n…
View article: Analyzing photon-counting based entanglement generation between solid-state spin qubits by unraveling the master equation
Analyzing photon-counting based entanglement generation between solid-state spin qubits by unraveling the master equation Open
We analyze and compare three different schemes that can be used to generate entanglement between spin qubits in optically-active single solid-state quantum systems. Each scheme is based on first generating entanglement between the spin deg…
View article: Progress toward cryogen-free spin-photon interfaces based on nitrogen-vacancy centers and optomechanics
Progress toward cryogen-free spin-photon interfaces based on nitrogen-vacancy centers and optomechanics Open
The implementation of quantum networks involving quantum memories and photonic channels without the need for cryogenics would be a major technological breakthrough. Nitrogen-vacancy centers have excellent spin properties even at room tempe…
View article: The Power of One Qubit in Machine Learning
The Power of One Qubit in Machine Learning Open
Kernel methods are used extensively in classical machine learning, especially in the field of pattern analysis. In this paper, we propose a kernel-based quantum machine learning algorithm that can be implemented on a near-term, intermediat…
View article: Feasibility of efficient room-temperature solid-state sources of indistinguishable single photons using ultrasmall mode volume cavities
Feasibility of efficient room-temperature solid-state sources of indistinguishable single photons using ultrasmall mode volume cavities Open
Highly efficient sources of indistinguishable single photons that can operate\nat room temperature would be very beneficial for many applications in quantum\ntechnology. We show that the implementation of such sources is a realistic goal\n…
View article: Towards room temperature indistinguishable single-photon sources using ultra-small mode volume cavities and solid-state emitters
Towards room temperature indistinguishable single-photon sources using ultra-small mode volume cavities and solid-state emitters Open
Efficient sources of indistinguishable single photons that can operate at room temperature would be highly beneficial for many applications in quantum technology. We show that the implementation of such sources is a realistic goal using so…
View article: Relationship between intelligence and spectral characteristics of brain biophoton emission: Correlation does not automatically imply causation
Relationship between intelligence and spectral characteristics of brain biophoton emission: Correlation does not automatically imply causation Open
Despite enormous efforts, any correlation between “intelligence” and cognitive or physiological/anatomical properties of animal brains is still poorly understood because intelligence depends on multiple factors in parallel and not a single…
View article: Full quantum treatment of a light diode
Full quantum treatment of a light diode Open
Unidirectional light transport in one-dimensional nanomaterials at the quantum level is a crucial goal to achieve for upcoming computational devices. We here employ a full-quantum mechanical approach based on master equation to describe un…