aqora

Photonic Quantum Programmable Gate Arrays

Ben Bartlett, Shanhui Fan

We describe a photonic integrated circuit architecture which can be reprogrammed to prepare any quantum state or operator, in principle deterministically. Gradient- based circuit optimization can automatically implement highly compact approximate quan-tum circuits with near-unity fidelity.

Conference on Lasers and Electro-OpticsJan 1, 20200 citations

Estimating the electrical energy cost of performing arbitrary state preparation using qubits and qudits in integrated photonic circuits

Maria Carolina Volpato, Gabriel da Silva Sampaio, Pierre-Louis de Assis

As quantum photonic hardware scales toward computationally relevant sizes, energy consumption has emerged as a key constraint. Programmable photonic integrated circuits, composed of interferometer meshes with tunable phase modulators, provide a flexible platform for quantum information processing using both qubits and qudits. In this work, we analyze the energetic cost of such devices by focusing on arbitrary quantum state preparation, a resource-intensive task central to quantum simulation and information processing. Using a common hardware, we benchmark qudit-based implementations, gate-based quantum computation, and measurement-based quantum computation. We find that while qudit encodings are attractive at small scale, their footprint and reconfiguration costs grow rapidly with system size, whereas qubit-based approaches incur significant overhead from entangling operations, feedforward, and reprogramming. Across all paradigms, scaling beyond a few tens of qubits renders either the energy consumption or the total preparation time prohibitive on fully programmable PICs. Our results highlight the need for optimized, task-specific photonic architectures to enable energy-efficient scaling.As quantum photonic hardware scales toward computationally relevant sizes, energy consumption has emerged as a key constraint. Programmable photonic integrated circuits, composed of interferometer meshes with tunable phase modulators, provide a flexible platform for quantum information processing using both qubits and qudits. In this work, we analyze the energetic cost of such devices by focusing on arbitrary quantum state preparation, a resource-intensive task central to quantum simulation and information processing. Using a common hardware, we benchmark qudit-based implementations, gate-based quantum computation, and measurement-based quantum computation. We find that while qudit encodings are attractive at small scale, their footprint and reconfiguration costs grow rapidly with system size, whereas qubit-based approaches incur significant overhead from entangling operations, feedforward, and reprogramming. Across all paradigms, scaling beyond a few tens of qubits renders either the energy consumption or the total preparation time prohibitive on fully programmable PICs. Our results highlight the need for optimized, task-specific photonic architectures to enable energy-efficient scaling.

arXiv:2402.16603Feb 26, 20240 citations

Photonic Integrated Circuits for Quantum Communication

Davide Bacco, Giulia Guarda, Sebastiano Cocchi +6 more

We report an overview of photonic integrated circuits for generating, manipulating, and measuring quantum states of light (qubit and qudit) in the context of quantum communications and quantum networks. Full-text article not available; see video presentation

Optical Fiber Communication ConferenceJan 1, 20240 citations

Data and simulation files for: "Estimating the electrical energy cost of performing arbitrary state preparation using qubits and qudits in integrated photonic circuits"

Maria Carolina Volpato, Pierre-Louis de Assis

Data and simulation files for: "Estimating the electrical energy cost of performing arbitrary state preparation using qubits and qudits in integrated photonic circuits"

Jan 1, 20240 citations

Implementation of programmable photonic one qubit quantum gates using intensity and phase encoding jointly

Minakshi Mandal, Ipsha Goswami, Sourangshu Mukhopadhyay

Journal of OpticsApr 28, 202216 citations

Programmable unitary gates for photonic quantum information processing

Rodrigo A. Thomas, Celeste Qvotrup, Leonardo Midolo

Smart Materials for Opto-Electronic ApplicationsJun 8, 20230 citations

Electrical energy cost of arbitrary state preparation with programmable integrated photonic circuits

Abstract

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Electrical energy cost of arbitrary state preparation with programmable integrated photonic circuits

Abstract

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