Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Alejandro Perdomo-Ortiz"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Devising an efficient exploration of the search space is one of the key challenges in the design of combinatorial optimization algorithms. Here, we introduce the Generator-Enhanced Optimization (GEO) strategy: a framework that leverages any
Externí odkaz:
https://doaj.org/article/6369bf5312e249c7901ee1b8ab336536
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Generative modeling has seen a rising interest in both classical and quantum machine learning, and it represents a promising candidate to obtain a practical quantum advantage in the near term. In this study, we build over an existing framewo
Externí odkaz:
https://doaj.org/article/9ad2a1c23b2b438a8a6d98e1f6cf13a1
Autor:
Manuel S. Rudolph, Jacob Miller, Danial Motlagh, Jing Chen, Atithi Acharya, Alejandro Perdomo-Ortiz
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Parametrized quantum circuits (PQCs) represent a promising framework for using present-day quantum hardware to solve diverse problems in materials science, quantum chemistry, and machine learning. We introduce a “synergistic” approach th
Externí odkaz:
https://doaj.org/article/73ea361e7bdf45a5b7cc606099283ecd
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035009 (2023)
Constrained combinatorial optimization problems abound in industry, from portfolio optimization to logistics. One of the major roadblocks in solving these problems is the presence of non-trivial hard constraints which limit the valid search space. In
Externí odkaz:
https://doaj.org/article/73507817745849e1b63baac9ffdd7955
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 1, p 015016 (2023)
It is believed that one of the first useful applications for a quantum computer will be the preparation of groundstates of molecular Hamiltonians. A crucial task involving state preparation and readout is obtaining physical observables of such states
Externí odkaz:
https://doaj.org/article/ada7384a00fa4604b30b648808242bdf
Autor:
Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, Sonika Johri, Borja Peropadre, Alejandro Perdomo-Ortiz
Publikováno v:
Physical Review X, Vol 12, Iss 3, p 031010 (2022)
Generating high-quality data (e.g., images or video) is one of the most exciting and challenging frontiers in unsupervised machine learning. Utilizing quantum computers in such tasks to potentially enhance conventional machine-learning algorithms has
Externí odkaz:
https://doaj.org/article/c733e24562fd4eafb429af6f32f4d120
Publikováno v:
Physical Review X, Vol 7, Iss 4, p 041052 (2017)
Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum comput
Externí odkaz:
https://doaj.org/article/5bc75672432f41bb961ed12d60f4b06f
We introduce a new framework that leverages machine learning models known as generative models to solve optimization problems. Our Generator-Enhanced Optimization (GEO) strategy is flexible to adopt any generative model, from quantum to quantum-inspi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6448d71021674151cf15b6cd2a98188a
https://doi.org/10.21203/rs.3.rs-241950/v1
https://doi.org/10.21203/rs.3.rs-241950/v1
In recent proposals of quantum circuit models for generative tasks, the discussion about their performance has been limited to their ability to reproduce a known target distribution. For example, expressive model families such as Quantum Circuit Born
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55d35a981870c730ac3099b6fe3b76ad
http://arxiv.org/abs/2207.13645
http://arxiv.org/abs/2207.13645
It is believed that one of the first useful applications for a quantum computer will be the preparation of groundstates of molecular Hamiltonians. A crucial task involving state preparation and readout is obtaining physical observables of such states
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f05790b477ecfb3413927c677158d97e
http://arxiv.org/abs/2206.15449
http://arxiv.org/abs/2206.15449