Quantum Computer-Aided design of Quantum Optics Hardware
- URL: http://arxiv.org/abs/2006.03075v2
- Date: Mon, 3 May 2021 17:00:58 GMT
- Title: Quantum Computer-Aided design of Quantum Optics Hardware
- Authors: Jakob S. Kottmann and Mario Krenn and Thi Ha Kyaw and Sumner
Alperin-Lea and Al\'an Aspuru-Guzik
- Abstract summary: 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.
- Score: 1.0499611180329804
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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.
Related papers
- Quantum Information Processing with Molecular Nanomagnets: an introduction [49.89725935672549]
We provide an introduction to Quantum Information Processing, focusing on a promising setup for its implementation.
We introduce the basic tools to understand and design quantum algorithms, always referring to their actual realization on a molecular spin architecture.
We present some examples of quantum algorithms proposed and implemented on a molecular spin qudit hardware.
arXiv Detail & Related papers (2024-05-31T16:43:20Z) - Shaping photons: quantum computation with bosonic cQED [41.94295877935867]
We discuss the progress, challenges, and future directions in building a bosonic cQED quantum computer.
We conclude with our views of the key challenges that lie on the horizon, as well as scientific and cultural strategies for overcoming them.
arXiv Detail & Related papers (2023-11-07T09:59:57Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Quantum Optical Memory for Entanglement Distribution [52.77024349608834]
Entanglement of quantum states over long distances can empower quantum computing, quantum communications, and quantum sensing.
Over the past two decades, quantum optical memories with high fidelity, high efficiencies, long storage times, and promising multiplexing capabilities have been developed.
arXiv Detail & Related papers (2023-04-19T03:18:51Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Digital Discovery of 100 diverse Quantum Experiments with PyTheus [0.4517077427559345]
PyTheus is an open-source digital discovery framework for quantum optics.
It can employ a wide range of experimental devices from modern quantum labs to solve various tasks.
This includes the discovery of highly entangled quantum states, quantum measurement schemes, quantum communication protocols, multi-particle quantum gates.
arXiv Detail & Related papers (2022-10-18T16:45:32Z) - Imaginary Time Propagation on a Quantum Chip [50.591267188664666]
Evolution in imaginary time is a prominent technique for finding the ground state of quantum many-body systems.
We propose an algorithm to implement imaginary time propagation on a quantum computer.
arXiv Detail & Related papers (2021-02-24T12:48:00Z) - Quantum walk processes in quantum devices [55.41644538483948]
We study how to represent quantum walk on a graph as a quantum circuit.
Our approach paves way for the efficient implementation of quantum walks algorithms on quantum computers.
arXiv Detail & Related papers (2020-12-28T18:04:16Z) - Quantum Metamaterials: Applications in quantum information science [0.0]
Metamaterials are artificially engineered periodic structures with exceptional optical properties.
They exhibit controllable quantum states, maintain quantum coherence for times much higher than the time of the electromagnetic signal.
The use of quantum metamaterials for quantum information processing is still new and rapidly growing.
arXiv Detail & Related papers (2020-06-06T02:20:48Z) - Quantum supremacy in driven quantum many-body systems [0.0]
We show that quantum supremacy can be obtained in generic periodically-driven quantum many-body systems.
Our proposal opens the way for a large class of quantum platforms to demonstrate and benchmark quantum supremacy.
arXiv Detail & Related papers (2020-02-27T07:20:15Z) - Quantum algorithms for quantum chemistry and quantum materials science [2.867517731896504]
We briefly describe central problems in chemistry and materials science, in areas of electronic structure, quantum statistical mechanics, and quantum dynamics, that are of potential interest for solution on a quantum computer.
We take a detailed snapshot of current progress in quantum algorithms for ground-state, dynamics, and thermal state simulation, and analyze their strengths and weaknesses for future developments.
arXiv Detail & Related papers (2020-01-10T22:49:56Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.