WO2023161788A1 - Procédé de compilation efficace pour ordinateurs quantiques multicœurs - Google Patents
Procédé de compilation efficace pour ordinateurs quantiques multicœurs Download PDFInfo
- Publication number
- WO2023161788A1 WO2023161788A1 PCT/IB2023/051562 IB2023051562W WO2023161788A1 WO 2023161788 A1 WO2023161788 A1 WO 2023161788A1 IB 2023051562 W IB2023051562 W IB 2023051562W WO 2023161788 A1 WO2023161788 A1 WO 2023161788A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- code
- inter
- cores
- members
- operations
- Prior art date
Links
Classifications
-
- 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
- G06N10/80—Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computers; Platforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing
-
- 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)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computational Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Devices For Executing Special Programs (AREA)
Abstract
L'invention concerne un procédé de compilation informatiquement économique pour améliorer l'exécution de code quantique sur un système informatique quantique multicœur, en réduisant au minimum la quantité d'opérations quantiques inter-cœurs requises pour l'exécution. Les procédés comprennent la segmentation de l'ensemble du code de programme, l'identification d'un groupe Gc de séquences de segments contiguës et d'un groupe Gnc de combinaisons non chevauchantes des éléments Gc, la conversion des éléments Gc en un groupe respectif de graphes, le mappage des bits quantiques sur des cœurs à l'aide d'un programme de résolveur de graphes, ce qui permet d'obtenir un groupe respectif de quantités d'opérations quantiques inter-cœurs, le calcul en conséquence des quantités d'opérations associées aux éléments Gnc, et la sélection des éléments Gc mappés, c'est-à-dire des parties de code contiguës mappées, qui produiraient la quantité minimale d'opérations inter-cœurs globale.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202263312423P | 2022-02-22 | 2022-02-22 | |
US63/312,423 | 2022-02-22 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023161788A1 true WO2023161788A1 (fr) | 2023-08-31 |
Family
ID=87764939
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2023/051562 WO2023161788A1 (fr) | 2022-02-22 | 2023-02-21 | Procédé de compilation efficace pour ordinateurs quantiques multicœurs |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2023161788A1 (fr) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050059167A1 (en) * | 2003-09-11 | 2005-03-17 | Franco Vitaliano | Quantum information processing elements and quantum information processing platforms using such elements |
US20180349282A1 (en) * | 2017-03-01 | 2018-12-06 | QC Ware Corp. | Using caching techniques to improve graph embedding performance |
WO2020072819A1 (fr) * | 2018-10-03 | 2020-04-09 | Rigetti & Co, Inc. | Ressources quantiques divisées en lots |
US20200125985A1 (en) * | 2018-10-21 | 2020-04-23 | President And Fellows Of Harvard College | Qubit allocation for noisy intermediate-scale quantum computers |
-
2023
- 2023-02-21 WO PCT/IB2023/051562 patent/WO2023161788A1/fr unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050059167A1 (en) * | 2003-09-11 | 2005-03-17 | Franco Vitaliano | Quantum information processing elements and quantum information processing platforms using such elements |
US20180349282A1 (en) * | 2017-03-01 | 2018-12-06 | QC Ware Corp. | Using caching techniques to improve graph embedding performance |
WO2020072819A1 (fr) * | 2018-10-03 | 2020-04-09 | Rigetti & Co, Inc. | Ressources quantiques divisées en lots |
US20200125985A1 (en) * | 2018-10-21 | 2020-04-23 | President And Fellows Of Harvard College | Qubit allocation for noisy intermediate-scale quantum computers |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR20200063330A (ko) | 메타학습에 기반한 임의의 목표 데이터셋과 모델 구조로의 전이학습 방법 및 시스템 | |
CN109416928A (zh) | 用于进行二级和/或三级处理的生物信息学系统、设备和方法 | |
CN111417965A (zh) | 软件限定的量子计算机 | |
CN110633747A (zh) | 目标检测器的压缩方法、装置、介质以及电子设备 | |
Zheng et al. | AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures | |
CN106170762A (zh) | 管理包括子图的数据流图所用的接口 | |
CN113342318B (zh) | 基于多视图代码特征的细粒度代码自动生成方法及系统 | |
CN109933327B (zh) | 基于代码融合编译框架的OpenCL编译器设计方法和系统 | |
US11704161B2 (en) | Method, device and computer program product for processing computing job | |
Beaumont et al. | Efficient combination of rematerialization and offloading for training dnns | |
JP7256811B2 (ja) | アドバンストインタコネクト技術を利用してaiトレーニングを加速するための方法及びシステム | |
US10956137B2 (en) | Compiling source code using source code transformations selected using benchmark data | |
CN112764738A (zh) | 基于多视图程序特征的代码自动生成方法及系统 | |
CN113722218A (zh) | 一种基于编译器中间表示的软件缺陷预测模型构建方法 | |
JP2021193618A (ja) | モデルトレーニング方法、装置、電子デバイス、記憶媒体、開発システムおよびプログラム | |
Yin et al. | Strategies to deploy and scale deep learning on the summit supercomputer | |
CN114186609A (zh) | 模型训练方法和装置 | |
Brookhouse et al. | Working with opencl to speed up a genetic programming financial forecasting algorithm: Initial results | |
DE102022109136A1 (de) | Maschinelles lernen (ml) modellbasierter compiler | |
Osaba et al. | Focusing on the hybrid quantum computing-tabu search algorithm: new results on the asymmetric salesman problem | |
WO2023161788A1 (fr) | Procédé de compilation efficace pour ordinateurs quantiques multicœurs | |
Lin et al. | Multi-node Bert-pretraining: Cost-efficient approach | |
Higuchi et al. | ClPy: a NumPy-compatible library accelerated with OpenCL | |
CN116958554A (zh) | 一种基于潜在扩散模型和多级上下文交叉一致性的半监督分割方法 | |
Yang et al. | Improving domain-specific neural code generation with few-shot meta-learning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 23759392 Country of ref document: EP Kind code of ref document: A1 |