Conceptual understanding through efficient inverse-design of quantum optical experiments
arXiv:2005.06443 · doi:10.1103/PhysRevX.11.031044
Abstract
One crucial question within artificial intelligence research is how this technology can be used to discover new scientific concepts and ideas. We present Theseus, an explainable AI algorithm that can contribute to science at a conceptual level. This work entails four significant contributions. (i) We introduce an interpretable representation of quantum optical experiments amenable to algorithmic use. (ii) We develop an inverse-design approach for new quantum experiments, which is orders of magnitudes faster than the best previous methods. (iii) We solve several crucial open questions in quantum optics, which is expected to advance photonic technology. Finally, and most importantly, (iv) the interpretable representation and drastic speedup produce solutions that a human scientist can interpret outright to discover new scientific concepts. We anticipate that Theseus will become an essential tool in quantum optics and photonic hardware, with potential applicability to other quantum physical disciplines.
9+5 pages, 5+7 figures; comments welcome
References in corpus (17)
- Integrated Photonic Quantum Technologies
- Electromagnetic Force and Momentum
- Electromagnetic Angular Momentum
- Quantum teleportation in high dimensions
- Imaging with quantum states of light
- Chip-to-chip quantum teleportation and multi-photon entanglement in silicon
- From three-photon GHZ states to ballistic universal quantum computation
- The structure of multidimensional entanglement in multipartite systems
- Entanglement by Path Identity
- Computer-inspired Quantum Experiments
- Computer-inspired concept for high-dimensional multipartite quantum gates
- Experimental access to higher-dimensional entangled quantum systems using integrated optics
- Three-dimensional entanglement on a silicon chip
- Heralded generation of multiphoton entanglement
- General linear-optical quantum state generation scheme: Applications to maximally path-entangled states
- Quantum Experiments and Hypergraphs: Multi-Photon Sources for Quantum Interference, Quantum Computation and Quantum Entanglement
- Randomized benchmarking for qudit Clifford gates
Cited by in corpus (26)
- Artificial Intelligence and Machine Learning for Quantum Technologies
- Quantum Indistinguishability by Path Identity: The awakening of a sleeping beauty
- Computer-inspired Quantum Experiments
- Complex Quantum Networks: a Topical Review
- On-chip quantum interference between the origins of a multi-photon state
- Quantum Capsule Networks
- Digital Discovery of 100 diverse Quantum Experiments with PyTheus
- Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications
- Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
- Open Hardware Solutions in Quantum Technology
- Molecular Quantum Circuit Design: A Graph-Based Approach
- Design of quantum optical experiments with logic artificial intelligence
- Automated design of quantum optical experiments for device-independent quantum key distribution
- Heralded generation of entanglement with photons
- Generation of genuine multipartite entangled states via indistinguishability of identical particles
- A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
- Theory of the monochromatic advanced-wave picture and applications in biphoton optics
- Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
- Digital Discovery of a Scientific Concept at the Core of Experimental Quantum Optics
- Experimental Solutions to the High-Dimensional Mean King's Problem
- Automated Discovery of Coupled Mode Setups
- Digital Discovery of interferometric Gravitational Wave Detectors
- Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
- Multiphoton, multimode state classification for nonlinear optical circuits
- Graph-theoretic insights on the constructability of complex entangled states
- Automated discovery of heralded ballistic graph state generators for fusion-based photonic quantum computation