Quantum Computer-Aided design of Quantum Optics Hardware
arXiv:2006.03075 · doi:10.1088/2058-9565/abfc94
Abstract
The parameters of a quantum system grow exponentially with the number of involved quantum particles. Hence, the associated memory requirement goes well beyond the limit of best classic computers for quantum systems composed of a few dozen particles leading to huge challenges in their numerical simulation. This implied that verification, let alone, design of new quantum devices and experiments, is fundamentally limited to small system size. It is not clear how the full potential of large quantum systems can be exploited. Here, we present the concept of quantum computer designed quantum hardware and apply it to the field of quantum optics. Specifically, we map complex experimental hardware for high-dimensional, many-body entangled photons into a gate-based quantum circuit. We show explicitly how digital quantum simulation of Boson Sampling experiments can be realized. Then we illustrate how to design quantum-optical setups for complex entangled photon systems, such as high-dimensional Greenberger-Horne-Zeilinger states and their derivatives. Since photonic hardware is already on the edge of quantum supremacy (the limit beyond which systems can no longer be calculated classically) and the development of gate-based quantum computers is rapidly advancing, our approach promises to be an useful tool for the future of quantum device design.
References in corpus (52)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- A variational eigenvalue solver on a quantum processor
- Integrated Photonic Quantum Technologies
- Multi-photon entanglement and interferometry
- Electromagnetic Angular Momentum
- Electromagnetic Force and Momentum
- Evaluating analytic gradients on quantum hardware
- Photonic quantum information processing: a review
- Experimental boson sampling in arbitrary integrated photonic circuits
- High-dimensional quantum cryptography with twisted light
- Twisted Photons: New Quantum Perspectives in High Dimensions
- High-Dimensional Intra-City Quantum Cryptography with Structured Photons
- Boson sampling with 20 input photons in 60-mode interferometers at state spaces
- 18-qubit entanglement with photon's three degrees of freedom
- Quantum teleportation in high dimensions
- 12-photon entanglement and scalable scattershot boson sampling with optimal entangled-photon pairs from parametric down-conversion
- Multi-photon entanglement in high dimensions
- Boson Sampling for Molecular Vibronic Spectra
- Chip-to-chip quantum teleportation and multi-photon entanglement in silicon
- Efficient experimental validation of photonic boson sampling against the uniform distribution
- Experimental Verification of an Indefinite Causal Order
- Measurement Optimization in the Variational Quantum Eigensolver Using a Minimum Clique Cover
- Characterizing large-scale quantum computers via cycle benchmarking
- Automated Search for new Quantum Experiments
- PennyLane: Automatic differentiation of hybrid quantum-classical computations
- The structure of multidimensional entanglement in multipartite systems
- No imminent quantum supremacy by boson sampling
- Faster quantum simulation by randomization
- Experimental GHZ Entanglement beyond Qubits
- Is the Trotterized UCCSD Ansatz chemically well-defined?
- Resource-efficient digital quantum simulation of -level systems for photonic, vibrational, and spin- Hamiltonians
- Machine learning method for state preparation and gate synthesis on photonic quantum computers
- Simultaneous entanglement swapping of multiple orbital angular momentum states of light
- Machine learning for long-distance quantum communication
- Quantum Neuron: an elementary building block for machine learning on quantum computers
- Experimental test of local observer-independence
- The entropy vector formalism and the structure of multidimensional entanglement in multipartite systems
- Experimental Realization of a Quantum Autoencoder: The Compression of Qutrits via Machine Learning
- Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices
- Computer-inspired Quantum Experiments
- A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers
- Tequila: A platform for rapid development of quantum algorithms
- Three-dimensional entanglement on a silicon chip
- A search algorithm for quantum state engineering and metrology
- Quantum machine learning and quantum biomimetics: A perspective
- Pattern recognition techniques for Boson Sampling validation
- On the order problem in construction of unitary operators for the Variational Quantum Eigensolver
- Non-unitary operations for ground-state calculations in near term quantum computers
- Designing quantum experiments with a genetic algorithm
- Improved Heralded Schemes to Generate Entangled States From Single Photons
- Digital quantum simulation of linear and nonlinear optical elements
- Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization
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- Qulacs: a fast and versatile quantum circuit simulator for research purpose
- Artificial Intelligence and Machine Learning for Quantum Technologies
- A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
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- Natural Evolutionary Strategies for Variational Quantum Computation
- Molecular spin qudits for quantum simulation of light-matter interactions
- Learning quantum dynamics with latent neural ODEs
- Digital Discovery of 100 diverse Quantum Experiments with PyTheus
- Molecular Quantum Circuit Design: A Graph-Based Approach
- Quantum computer-aided design: digital quantum simulation of quantum processors
- Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems
- Towards Quantum Computing with Molecular Electronics
- Variational quantum iterative power algorithms for global optimization
- A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
- Digital quantum simulation of squeezed states via enhanced bosonic encoding in a superconducting quantum processor