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QML - HOME
Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. PROGRAM - QML - QUANTUM MACHINE LEARNING Social program. October 20 (Sun): Welcome reception. October 22 (Tue): Conference banquet. October 23 (Wed): Excursion to Songnisan National Park. QTML Satellite Workshop. -Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST. The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QUANTUM MACHINE LEARNING QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshop and the 2017 Quantum Machine Learning Summer School that were hosted in South Africa, with a wonderful follow-up conference in Bilbao, Spain this year. The conference will bring together experts from QuantumQML - HOME
Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. PROGRAM - QML - QUANTUM MACHINE LEARNING Social program. October 20 (Sun): Welcome reception. October 22 (Tue): Conference banquet. October 23 (Wed): Excursion to Songnisan National Park. QTML Satellite Workshop. -Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST. The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QUANTUM MACHINE LEARNING QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshop and the 2017 Quantum Machine Learning Summer School that were hosted in South Africa, with a wonderful follow-up conference in Bilbao, Spain this year. The conference will bring together experts from Quantum QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
ABOUT QTML - QML
Organizing committee for QTML 2019. June-Koo Kevin Rhee (KAIST, Chair) Joonwoo Bae (KAIST, co-Chair) Jinhyung Lee (Hanyang University) . Jonathan Olson (Zapata Computing Inc.) Daniel K. Park (KAIST) Maria Schuld ( University of KwaZulu-Natal & Xanadu) Program committee for QTML 2019. Francesco Petruccione (University of KwaZulu-Natal, Chair)REGISTRATION
Registration Early registration deadline (extended): October 10, 2019 at 23:59 ( AoE ) Registration and payment: http://qtml2019reg.ieieweb.orgSATELLITE WORKSHOP
QTML Satellite Workshop-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST. Quantum computing is nearing a phase of accessibility that warrants experimental exploration of Quantum algorithms in various application domains. QUANTUM MACHINE LEARNING WORKSHOP AT KDD 2018 Quantum Machine Learning Workshop at KDD 2018August 20, 2018, London, United Kingdom. The workshop aims to bridge the gap between traditional machine learning and quantum machine learning. Making this burgeoning technology of the future accessible to the computer scientists of today. SUBSCRIBE TO MAILING LIST Powered by Create your own unique website with customizable templates.Get Started
QUANTUM GENERATIVE ADVERSARIAL LEARNING Quantum generative adversarial learning Seth Lloyd1 Christian Weedbrook2 Pierre-Luc Dallaire-Demers2 Nathan Killoran2 1Massachusetts Institute of Technology 2Xanadu Generative adversarial networks (GANs) represent a powerful tool for classi-QML WORKSHOP 2016
Quantum Machine Learning Workshop18-22 July 2016, North Coast, KwaZulu-Natal, South Africa. Quantum Machine Learning Workshop. 18-22 July 2016, North Coast, KwaZulu-Natal, South Africa. The Workshop was part of the South African Quantum Machine Learning Meetings. It was held from 18-22 July at Palm Dune Beach Lodge at the South AfricanNorth Coast.
QML SUMMER SCHOOL 2017 The 28th Chris Engelbrecht Summer School of the South African National Institute for Theoretical Physics offered an introduction to Quantum Machine Learning and took place in the Drakensberg mountains 23rd January - 1st February 2017. ブログのアーカイブ In an earlier blogpost, Peter Wittek and I provided a high-level idea about leveraging quantum computers in enhanced machine learning. We also touched on some of the major challenges and opportunities ahead for scientific and technological progress in QML.QML - HOME
Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency.SATELLITE WORKSHOP
QTML Satellite Workshop-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST. Quantum computing is nearing a phase of accessibility that warrants experimental exploration of Quantum algorithms in various application domains. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QUANTUM MACHINE LEARNING WORKSHOP AT KDD 2018 Quantum Machine Learning Workshop at KDD 2018August 20, 2018, London, United Kingdom. The workshop aims to bridge the gap between traditional machine learning and quantum machine learning. Making this burgeoning technology of the future accessible to the computer scientists of today.QML - HOME
Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency.SATELLITE WORKSHOP
QTML Satellite Workshop-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST. Quantum computing is nearing a phase of accessibility that warrants experimental exploration of Quantum algorithms in various application domains. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QUANTUM MACHINE LEARNING WORKSHOP AT KDD 2018 Quantum Machine Learning Workshop at KDD 2018August 20, 2018, London, United Kingdom. The workshop aims to bridge the gap between traditional machine learning and quantum machine learning. Making this burgeoning technology of the future accessible to the computer scientists of today.QML - HOME
Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
ABOUT QTML - QML
Organizing committee for QTML 2019. June-Koo Kevin Rhee (KAIST, Chair) Joonwoo Bae (KAIST, co-Chair) Jinhyung Lee (Hanyang University) . Jonathan Olson (Zapata Computing Inc.) Daniel K. Park (KAIST) Maria Schuld ( University of KwaZulu-Natal & Xanadu) Program committee for QTML 2019. Francesco Petruccione (University of KwaZulu-Natal, Chair) QTML2018 - QML - QUANTUM MACHINE LEARNING QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshop and the 2017 Quantum Machine Learning Summer School that were hosted in South Africa, with a wonderful follow-up conference in Bilbao, Spain this year. The conference will bring together experts from Quantum SUBSCRIBE TO MAILING LIST Powered by Create your own unique website with customizable templates.Get Started
QTML 2019 TENTATIVE PROGRAM TABLE QTML 2019 Tentative Program Detail Day 1: Day 2: Sunday, Oct. 20 Time Program Speaker Title 14:00 - 16:00 Tutorial 1 Minh Ha Quang Machine Learning 16:00 - 16:30 Coffee Break 16:30 - 18:30 Tutorial 2 Maria Schuld Quantum Machine Learning 18:30 - Reception Monday, Oct. 21 QML SUMMER SCHOOL 2017 The 28th Chris Engelbrecht Summer School of the South African National Institute for Theoretical Physics offered an introduction to Quantum Machine Learning and took place in the Drakensberg mountains 23rd January - 1st February 2017. QUANTUM COMPUTING FOR KERNEL METHODS Quantum computing for kernel methods Maria Schuld* and Nathan Killoran, Xanadu, 372 Richmond St W, Toronto, M5V 2L7, Canada While the majority of approaches in quantum machine learning focus on neuralnetwork-based
QTML 2019 TENTATIVE PROGRAM TABLE QTML 2019 Tentative Program Table K = Keynote (50 min) I = Invited (30 min) L = Long (30 min) S = Short (20 min) *The number after L or S is the EasyChair submission number. QTML 2019 TENTATIVE PROGRAM TABLE QTML 2019 Tentative Program Table K = Keynote (50 min) I = Invited (30 min) L = Long (30 min) S = Short (20 min) *The number after L or S is the EasyChair submission number. QML - HOMEQUANTUM MACHINE LEARNING PYTHONQUANTUM MACHINE LEARNING REVIEWQUANTUM MACHINE LEARNING PPTLEARNING QUANTUM COMPUTINGMACHINE LEARNING QUANTUM CHEMISTRYWHAT IS MACHINE LEARNING TECHNOLOGY Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
PROGRAM - QML - QUANTUM MACHINE LEARNING Social program. October 20 (Sun): Welcome reception. October 22 (Tue): Conference banquet. October 23 (Wed): Excursion to Songnisan National Park. QTML Satellite Workshop. -Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST. The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QML - HOME Abstract submission and registration are now closed. For latecomers, please fill in the registration form and notify Vicki vicki@venues.co.za. QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshopand the 2017
QML - HOMEQUANTUM MACHINE LEARNING PYTHONQUANTUM MACHINE LEARNING REVIEWQUANTUM MACHINE LEARNING PPTLEARNING QUANTUM COMPUTINGMACHINE LEARNING QUANTUM CHEMISTRYWHAT IS MACHINE LEARNING TECHNOLOGY Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
PROGRAM - QML - QUANTUM MACHINE LEARNING Social program. October 20 (Sun): Welcome reception. October 22 (Tue): Conference banquet. October 23 (Wed): Excursion to Songnisan National Park. QTML Satellite Workshop. -Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST. The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QML - HOME Abstract submission and registration are now closed. For latecomers, please fill in the registration form and notify Vicki vicki@venues.co.za. QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshopand the 2017
QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
PROGRAMME - QML - QML - HOME In alphabetical order: Uwe Jaekel (University of Applied Sciences Koblenz)John Realpe-Gomez (NASA); Katja Ried (University of Innsbruck) Enrique Solano (University of the Basque Country)Peter Wittek (Institute for Photonic Science ICFO)ABOUT QTML - QML
Organizing committee for QTML 2019. June-Koo Kevin Rhee (KAIST, Chair) Joonwoo Bae (KAIST, co-Chair) Jinhyung Lee (Hanyang University) . Jonathan Olson (Zapata Computing Inc.) Daniel K. Park (KAIST) Maria Schuld ( University of KwaZulu-Natal & Xanadu) Program committee for QTML 2019. Francesco Petruccione (University of KwaZulu-Natal, Chair)SATELLITE WORKSHOP
QTML Satellite Workshop-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST. Quantum computing is nearing a phase of accessibility that warrants experimental exploration of Quantum algorithms in various application domains.REGISTRATION
Registration Early registration deadline (extended): October 10, 2019 at 23:59 ( AoE ) Registration and payment: http://qtml2019reg.ieieweb.org QUANTUM GENERATIVE ADVERSARIAL LEARNING Quantum generative adversarial learning Seth Lloyd1 Christian Weedbrook2 Pierre-Luc Dallaire-Demers2 Nathan Killoran2 1Massachusetts Institute of Technology 2Xanadu Generative adversarial networks (GANs) represent a powerful tool for classi-WEBSITE RELAUNCHED
We are relaunching this website to make it an entry point to anybody interested in quantum-enhanced machine learning and AI, or in applications of classical learning protocols in quantum physics SUBSCRIBE TO MAILING LIST Powered by Create your own unique website with customizable templates.Get Started
QUANTUM MACHINE LEARNING WORKSHOP AT KDD 2018 Quantum Machine Learning Workshop at KDD 2018August 20, 2018, London, United Kingdom. The workshop aims to bridge the gap between traditional machine learning and quantum machine learning. Making this burgeoning technology of the future accessible to the computer scientists of today.QML WORKSHOP 2016
Quantum Machine Learning Workshop18-22 July 2016, North Coast, KwaZulu-Natal, South Africa. Quantum Machine Learning Workshop. 18-22 July 2016, North Coast, KwaZulu-Natal, South Africa. The Workshop was part of the South African Quantum Machine Learning Meetings. It was held from 18-22 July at Palm Dune Beach Lodge at the South AfricanNorth Coast.
QML - HOMEQUANTUM MACHINE LEARNING PYTHONQUANTUM MACHINE LEARNING REVIEWQUANTUM MACHINE LEARNING PPTLEARNING QUANTUM COMPUTINGMACHINE LEARNING QUANTUM CHEMISTRYWHAT IS MACHINE LEARNING TECHNOLOGY Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QML - HOME Abstract submission and registration are now closed. For latecomers, please fill in the registration form and notify Vicki vicki@venues.co.za. QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshopand the 2017
QML - HOMEQUANTUM MACHINE LEARNING PYTHONQUANTUM MACHINE LEARNING REVIEWQUANTUM MACHINE LEARNING PPTLEARNING QUANTUM COMPUTINGMACHINE LEARNING QUANTUM CHEMISTRYWHAT IS MACHINE LEARNING TECHNOLOGY Quantum machine learning summarises research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 Quantum Techniques in Machine Learning 2021. November 9-12 2021, Virtual Conference. workshop. Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchersand industry
QUANTUM TECHNIQUES IN MACHINE LEARNING 2021 QTML 2021 Contact Information. For general inquiries, please contact Minh Ha Quang; QTML Steering committee. Alessandra Di Piero (Università di Verona) Francesco Petruccione (University of QML - BLOG - QUANTUM MACHINE LEARNING In order to present an application area in which QML outperforms machine learning, Peter and I teamed up with Roger Melko to dive deeper into one of the application areas in which QML can produce staggering improvements in results over its classical counterpart. Roger is a quantum many-body physics professor at the University ofWaterloo and
EVENTS - QML - QUANTUM MACHINE LEARNING June 25 - 29, 2018, Dresden, Germany. Machine Learning meets Quantum Computation (QIPLSIGML) April 26-28, 2018, Krakow, Poland. Quantum Machine Learning and Biomimetic Quantum Technologies. March 19-23, 2018, Bilbao, Spain. Beyond Digital Computing: The power of quantum and Neural networks. March 19-21, 2018, Heidelberg, Germany. QUANTUM TECHNIQUES IN MACHINE LEARNING 2019 Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, SouthKorea.
QUANTUM MACHINE LEARNING: PATH TO A BETTER ARTIFICIAL Quantum machine learning is the intersection of quantum information processing and machine learning. As a conceptual framework, think of it as a Venn diagram, where we have machine learning as one circle, quantum information processing as another, and the intersection of the two defines quantum machine learning ( see “Quantum Machine Learning TRAVEL & LOCAL INFORMATION Invitation letters for visa purposes Nationals of visa waiver countries can enter Korea without a visa as long as the purpose of their visit is tourism or temporary visit, such as attending the conference. For more information, please visit Korea Visit Portal.Should you need a visa, we also strongly recommend you to inquire your local Korean embassy or travel agency. SUBMISSION - QML - QUANTUM MACHINE LEARNING Submissions are closed. If you would like us to consider a late submission, please contact Daniel at kpark10-at-kaist.ac.kr. Call for submissions QTML 2019 is the 3rd in a series of the conference that aims to bring experts from quantum information science and machine learning to discuss the latest progress at the frontier of quantummachine learning.
QTML2018 - QML - QML - HOME Abstract submission and registration are now closed. For latecomers, please fill in the registration form and notify Vicki vicki@venues.co.za. QTML 2018 follows the very successful workshop of the same name hosted in Verona, Italy in November 2017. It also continues the tradition of the 2016 Quantum Machine Learning Workshopand the 2017
PROGRAMME - QML - QML - HOME In alphabetical order: Uwe Jaekel (University of Applied Sciences Koblenz)John Realpe-Gomez (NASA); Katja Ried (University of Innsbruck) Enrique Solano (University of the Basque Country)Peter Wittek (Institute for Photonic Science ICFO) PROGRAM - QML - QUANTUM MACHINE LEARNING Social program. October 20 (Sun): Welcome reception. October 22 (Tue): Conference banquet. October 23 (Wed): Excursion to Songnisan National Park. QTML Satellite Workshop. -Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST. The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30ABOUT QTML - QML
Organizing committee for QTML 2019. June-Koo Kevin Rhee (KAIST, Chair) Joonwoo Bae (KAIST, co-Chair) Jinhyung Lee (Hanyang University) . Jonathan Olson (Zapata Computing Inc.) Daniel K. Park (KAIST) Maria Schuld ( University of KwaZulu-Natal & Xanadu) Program committee for QTML 2019. Francesco Petruccione (University of KwaZulu-Natal, Chair)SATELLITE WORKSHOP
QTML Satellite Workshop-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST. Quantum computing is nearing a phase of accessibility that warrants experimental exploration of Quantum algorithms in various application domains.REGISTRATION
Registration Early registration deadline (extended): October 10, 2019 at 23:59 ( AoE ) Registration and payment: http://qtml2019reg.ieieweb.orgPHOTO GALLERY
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QUANTUM MACHINE LEARNING WORKSHOP AT KDD 2018 Quantum Machine Learning Workshop at KDD 2018August 20, 2018, London, United Kingdom. The workshop aims to bridge the gap between traditional machine learning and quantum machine learning. Making this burgeoning technology of the future accessible to the computer scientists of today.WEBSITE RELAUNCHED
We are relaunching this website to make it an entry point to anybody interested in quantum-enhanced machine learning and AI, or in applications of classical learning protocols in quantum physics QML SUMMER SCHOOL 2017 The 28th Chris Engelbrecht Summer School of the South African National Institute for Theoretical Physics offered an introduction to Quantum Machine Learning and took place in the Drakensberg mountains 23rd January - 1st February 2017.* Home
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COMBINING QUANTUM INFORMATION AND MACHINE LEARNING Quantum machine learningsummarises
research that looks for synergies between the disciplines of quantum information processing and machine learning. An important question is for example how quantum computers can be used for automated prediction tasks such as image recognition and natural language processing. Another approach uses methods developed in machine learning to learn about quantum systems, for example in settings where we can only gain limited information from a quantum system through measurements. This space serves as a platform for the quantum machine learning community to announce events, collect resources and share the latest developments. Get in touch with us: subscribe to our mailing list , join our LinkedIn group, or drop us a note
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