MX2021012006A - Alineacion de nucleo de caracteristicas cuanticas. - Google Patents
Alineacion de nucleo de caracteristicas cuanticas.Info
- Publication number
- MX2021012006A MX2021012006A MX2021012006A MX2021012006A MX2021012006A MX 2021012006 A MX2021012006 A MX 2021012006A MX 2021012006 A MX2021012006 A MX 2021012006A MX 2021012006 A MX2021012006 A MX 2021012006A MX 2021012006 A MX2021012006 A MX 2021012006A
- Authority
- MX
- Mexico
- Prior art keywords
- quantum
- processor
- method includes
- training
- quantum feature
- Prior art date
Links
- 238000000034 method Methods 0.000 abstract 5
- 238000004590 computer program Methods 0.000 abstract 1
- 238000005070 sampling Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N10/00—Quantum computing, i.e. information processing based on quantum-mechanical phenomena
- G06N10/60—Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N10/00—Quantum computing, i.e. information processing based on quantum-mechanical phenomena
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N10/00—Quantum computing, i.e. information processing based on quantum-mechanical phenomena
- G06N10/20—Models of quantum computing, e.g. quantum circuits or universal quantum computers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N10/00—Quantum computing, i.e. information processing based on quantum-mechanical phenomena
- G06N10/40—Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B82—NANOTECHNOLOGY
- B82Y—SPECIFIC USES OR APPLICATIONS OF NANOSTRUCTURES; MEASUREMENT OR ANALYSIS OF NANOSTRUCTURES; MANUFACTURE OR TREATMENT OF NANOSTRUCTURES
- B82Y10/00—Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Nanotechnology (AREA)
- Chemical & Material Sciences (AREA)
- Crystallography & Structural Chemistry (AREA)
- Complex Calculations (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Superconductor Devices And Manufacturing Methods Thereof (AREA)
- Image Analysis (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Devices For Executing Special Programs (AREA)
- Holo Graphy (AREA)
Abstract
Las modalidades ilustrativas proporcionan un método, sistema, y producto de programa de computadora para la alineación de núcleo de características cuánticas utilizando un sistema de computación clásica-cuántica híbrida. Una modalidad de un método para el entrenamiento de tomador de decisiones clásico-cuántico híbrido incluye recibir un conjunto de datos de entrenamiento. En una modalidad, el método incluye seleccionar, por un primer procesador, un muestreo de objetos del conjunto de entrenamiento, cada objeto representado por al menos un vector. En una modalidad, el método incluye aplicar, por un procesador cuántico, un conjunto de mapas de características cuánticas a los objetos seleccionados, el conjunto de mapas cuánticos que corresponde a un conjunto de núcleos cuánticos. En una modalidad, el método incluye evaluar, por un procesador cuántico, un conjunto de parámetros para un circuito de mapa de características cuánticas que corresponde a al menos uno del conjunto de mapas de características cuánticas.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/374,354 US11748665B2 (en) | 2019-04-03 | 2019-04-03 | Quantum feature kernel alignment |
| PCT/EP2020/058528 WO2020201002A1 (en) | 2019-04-03 | 2020-03-26 | Quantum feature kernel alignment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2021012006A true MX2021012006A (es) | 2021-11-04 |
Family
ID=70050117
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2021012006A MX2021012006A (es) | 2019-04-03 | 2020-03-26 | Alineacion de nucleo de caracteristicas cuanticas. |
Country Status (12)
| Country | Link |
|---|---|
| US (1) | US11748665B2 (es) |
| EP (1) | EP3948689A1 (es) |
| JP (1) | JP7350867B2 (es) |
| KR (1) | KR20210132154A (es) |
| CN (1) | CN113661501A (es) |
| AU (1) | AU2020250811B2 (es) |
| BR (1) | BR112021019867A2 (es) |
| CA (1) | CA3135537A1 (es) |
| IL (1) | IL286607B2 (es) |
| MX (1) | MX2021012006A (es) |
| SG (1) | SG11202109785TA (es) |
| WO (1) | WO2020201002A1 (es) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11194573B1 (en) | 2018-02-09 | 2021-12-07 | Rigetti & Co, Llc | Streaming execution for a quantum processing system |
| CN112651418B (zh) * | 2020-05-25 | 2022-03-08 | 腾讯科技（深圳）有限公司 | 数据分类方法、分类器训练方法及系统 |
| CN114529002B (zh) * | 2020-11-09 | 2024-04-12 | 本源量子计算科技（合肥）股份有限公司 | 量子连通图谱的聚团划分方法、装置、终端及存储介质 |
| US11983720B2 (en) * | 2021-10-21 | 2024-05-14 | International Business Machines Corporation | Mixed quantum-classical method for fraud detection with quantum feature selection |
| EP4242934A1 (en) * | 2022-03-07 | 2023-09-13 | Qu&CO R&D B.V. | Quantum-kernel-based regression |
| WO2023180254A1 (en) * | 2022-03-19 | 2023-09-28 | Pasqal S.A.S. | Quantum circuits for a neutral atom quantum processor |
| CN117591947B (zh) * | 2024-01-18 | 2024-04-09 | 合肥综合性国家科学中心人工智能研究院(安徽省人工智能实验室) | 一种基于变分量子核的量子支持向量机的数据分类方法 |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002071243A1 (en) | 2001-03-01 | 2002-09-12 | Biowulf Technologies, Llc | Spectral kernels for learning machines |
| US7406450B2 (en) | 2005-09-28 | 2008-07-29 | Nec Laboratories America, Inc. | Spread kernel support vector machine |
| US9020874B2 (en) | 2011-10-31 | 2015-04-28 | Siemens Aktiengesellschaft | Short-term load forecast using support vector regression and feature learning |
| WO2017111949A1 (en) | 2015-12-22 | 2017-06-29 | Rigetti & Co., Inc. | Operating a coupler device to perform quantum logic gates |
| US9990592B2 (en) | 2016-02-10 | 2018-06-05 | Sas Institute Inc. | Kernel parameter selection in support vector data description for outlier identification |
| US10325218B1 (en) * | 2016-03-10 | 2019-06-18 | Rigetti & Co, Inc. | Constructing quantum process for quantum processors |
| US10565514B2 (en) | 2016-03-31 | 2020-02-18 | Board Of Regents, The University Of Texas System | System and method for emulation of a quantum computer |
| US10275717B2 (en) | 2016-06-02 | 2019-04-30 | Google Llc | Training quantum evolutions using sublogical controls |
| US20180011981A1 (en) | 2016-07-05 | 2018-01-11 | The Regents Of The University Of Michigan | Quantum-based machine learning for oncology treatment |
| WO2018223037A1 (en) | 2017-06-02 | 2018-12-06 | Google Llc | Quantum neural network |
| US11689223B2 (en) * | 2017-09-15 | 2023-06-27 | President And Fellows Of Harvard College | Device-tailored model-free error correction in quantum processors |
| US10558847B2 (en) * | 2018-02-06 | 2020-02-11 | Shutterfly, Llc | High recall additive pattern recognition for image and other applications |
| US11783217B2 (en) * | 2019-02-21 | 2023-10-10 | IonQ, Inc. | Quantum circuit optimization |
-
2019
- 2019-04-03 US US16/374,354 patent/US11748665B2/en active Active
-
2020
- 2020-03-26 BR BR112021019867A patent/BR112021019867A2/pt unknown
- 2020-03-26 WO PCT/EP2020/058528 patent/WO2020201002A1/en unknown
- 2020-03-26 JP JP2021547175A patent/JP7350867B2/ja active Active
- 2020-03-26 IL IL286607A patent/IL286607B2/en unknown
- 2020-03-26 SG SG11202109785T patent/SG11202109785TA/en unknown
- 2020-03-26 EP EP20715033.5A patent/EP3948689A1/en active Pending
- 2020-03-26 CA CA3135537A patent/CA3135537A1/en active Pending
- 2020-03-26 MX MX2021012006A patent/MX2021012006A/es unknown
- 2020-03-26 KR KR1020217030846A patent/KR20210132154A/ko active Search and Examination
- 2020-03-26 AU AU2020250811A patent/AU2020250811B2/en active Active
- 2020-03-26 CN CN202080026788.7A patent/CN113661501A/zh active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| AU2020250811A1 (en) | 2021-09-30 |
| WO2020201002A1 (en) | 2020-10-08 |
| US20200320437A1 (en) | 2020-10-08 |
| KR20210132154A (ko) | 2021-11-03 |
| US11748665B2 (en) | 2023-09-05 |
| IL286607B2 (en) | 2024-05-01 |
| BR112021019867A2 (pt) | 2021-12-07 |
| IL286607B1 (en) | 2024-01-01 |
| AU2020250811B2 (en) | 2023-06-22 |
| JP7350867B2 (ja) | 2023-09-26 |
| SG11202109785TA (en) | 2021-10-28 |
| CA3135537A1 (en) | 2020-10-08 |
| CN113661501A (zh) | 2021-11-16 |
| JP2022526072A (ja) | 2022-05-23 |
| EP3948689A1 (en) | 2022-02-09 |
| IL286607A (en) | 2021-10-31 |
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