Many classic optimization problems that arise in all areas of business and science remain intractable on classical computers, but could be solved practically with quantum computers. This seminar will cover some of those problems and discuss how quantum computers can be leveraged to solve them. We will demonstrate how the Qiskit Optimization open source software project can be used to describe optimization problems as quadratic programs, and then convert them into models that can be run on a quantum computer. Note that this is part 4 of a 6-session series on Quantum Computing on Apr 13/14, Apr 20/21, May 4/5, May 18/19, Jun 1/2, and Jun 15/16. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions. Presenter: Sean Wagner Sean is a Research Scientist and a Quantum Technical Ambassador at IBM. When he's not programming and experimenting with Qiskit, Sean spends his time working with researchers at academic institutions and industry partners in Canada on projects involving high-performance computing, hardware acceleration, quantum computing, and data science and AI. Dr. Wagner holds a B.A.Sc. degree in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Toronto. It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=re3b6a0749e2391d024fa58eef51bc4ba

NOTE: THIS IS AN EARLY TIME SLOT SESSION - repeated on Thu Jun 2 at 3:30-4:30 pm ET. In this session, we will cover several features of the Qiskit open source development kit that will help you to be more productive and improve performance when programming quantum computers. This will include the Qiskit Runtime feature to run hybrid quantum-classical algorithms more efficiently. More details to come! Note that this is part 5 of a 6-session series on Quantum Computing on Apr 13/14, Apr 20/21, May 4/5, May 18/19, Jun 1/2, and Jun 15/16. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions. Presenter: Sean Wagner Sean is a Research Scientist and a Quantum Technical Ambassador at IBM. When he's not programming and experimenting with Qiskit, Sean spends his time working with researchers at academic institutions and industry partners in Canada on projects involving high-performance computing, hardware acceleration, quantum computing, and data science and AI. Dr. Wagner holds a B.A.Sc. degree in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Toronto. It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=r4960ce2d7d432c5be58cc45480f8731e

In this session, we will cover several features of the Qiskit open source development kit that will help you to be more productive and improve performance when programming quantum computers. This will include the Qiskit Runtime feature to run hybrid quantum-classical algorithms more efficiently. More details to come! Note that this is part 5 of a 6-session series on Quantum Computing on Apr 13/14, Apr 20/21, May 4/5, May 18/19, Jun 1/2, and Jun 15/16. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions. Presenter: Sean Wagner Sean is a Research Scientist and a Quantum Technical Ambassador at IBM. When he's not programming and experimenting with Qiskit, Sean spends his time working with researchers at academic institutions and industry partners in Canada on projects involving high-performance computing, hardware acceleration, quantum computing, and data science and AI. Dr. Wagner holds a B.A.Sc. degree in Computer Engineering from the University of Waterloo, and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Toronto. It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=re49c4b87ffc3f432656dc2260494e85e

QURECA, Quantum-South and the Unconventional Computing Lab are organising the first large quantum event in Latin-America which will be held online from 8th - 10th June, 2022. This event is specifically designed to create awareness and promote quantum technologies to build a connected quantum community. Through this 3-day event, we are bringing together researchers, entrepreneurs, start-ups, and industry collaborators to participate, learn, exchange ideas, connect, network, and grow, to be part of an ever-growing quantum community in Latin-America.

NOTE: THIS IS AN EARLY TIME SLOT SESSION - repeated on Thu Jun 16 at 3:30-4:30 pm ET. The talk will encompass applications across risk management, portfolio optimization, and machine learning. Algorithms will be discussed at a high level of technical detail and there will be time for questions and answers. The algorithms covered will include quantum amplitude estimation for risk analysis, quantum optimization, and quantum kernel estimation methods for machine learning. Note that this is part 6 of a 6-session series on Quantum Computing on Apr 13/14, Apr 20/21, May 4/5, May 18/19, Jun 1/2, and Jun 15/16. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions. Presenter: Noelle Ibrahim Dr. Noelle Ibrahim is a global IBM Quantum Industry Consultant for the Banking and Financial Markets industries. She has worked across verticals within the financial services sector, leading major transformational risk initiatives including stress testing and IFS9. She has also worked in derivatives pricing, including vanilla and exotic options and modelling of cash flows from structured investment vehicles. She also has experience in the Fintech industry where she worked for a start up applying AI to art as an asset class. She has a depth and breadth of experience in quantitative finance, including quantitative models for Value at Risk (VaR), CVaR, Black-Scholes, Exotic Options pricing and back-testing, credit risk models for PD,EAD,LGD and more. Noelle has a Ph.D. in Applied Physics from Columbia University, specializing in Quantum Monte Carlo methods for modelling classical and quantum systems. She also holds an M.Sc. in Quantum Optics and Condensed Matter Physics from the University of Toronto and a Bachelor's degree in Physics from the University of British Columbia. It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=r834bc889ab17ef25d568a9a1d1b94b09

The talk will encompass applications across risk management, portfolio optimization, and machine learning. Algorithms will be discussed at a high level of technical detail and there will be time for questions and answers. The algorithms covered will include quantum amplitude estimation for risk analysis, quantum optimization, and quantum kernel estimation methods for machine learning. Note that this is part 6 of a 6-session series on Quantum Computing on Apr 13/14, Apr 20/21, May 4/5, May 18/19, Jun 1/2, and Jun 15/16. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions. Presenter: Noelle Ibrahim Dr. Noelle Ibrahim is a global IBM Quantum Industry Consultant for the Banking and Financial Markets industries. She has worked across verticals within the financial services sector, leading major transformational risk initiatives including stress testing and IFS9. She has also worked in derivatives pricing, including vanilla and exotic options and modelling of cash flows from structured investment vehicles. She also has experience in the Fintech industry where she worked for a start up applying AI to art as an asset class. She has a depth and breadth of experience in quantitative finance, including quantitative models for Value at Risk (VaR), CVaR, Black-Scholes, Exotic Options pricing and back-testing, credit risk models for PD,EAD,LGD and more. Noelle has a Ph.D. in Applied Physics from Columbia University, specializing in Quantum Monte Carlo methods for modelling classical and quantum systems. She also holds an M.Sc. in Quantum Optics and Condensed Matter Physics from the University of Toronto and a Bachelor's degree in Physics from the University of British Columbia. It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=r0804383e175201b3a87c68300d167da7

NSF Workshop on software-hardware Co-Design for Quantum Computing This workshop will function as a hub to spur a large, synergistic, and convergent effort for building a common technological ecosystem that quantum-enabled technologies and classical technologies can live together for mutual benefit and progress in the long term. In this workshop, experts from both industry and academia will gather together and discuss the key challenges that need to be addressed for an end-to-end quantum computing infrastructure. In particular, we advocate the importance of taking a computer engineering perspective. We envision that classic computer engineering techniques (at both software and hardware levels) have the potential to enable transformative scientific and industrial progress for quantum computing. The key is to figure out the grand challenges in the new quantum context. This workshop is to help the computer engineering community better understand and focus on these grand challenges rather than incremental changes, form a stronger collaboration, and propose transformative ideas to achieve significant progress in quantum computing. To this end, experts will be invited to get together to report the latest research progress and discuss their visions of the critical challenges that need to be addressed in the near future and how to tackle these challenges in a synergistic manner. Please click here for more information. STEERING COMMITTE Pinaki Mazumder University of Michigan Yufei Ding University of California, Santa Barbara Ken Brown Duke University Robert Wille Johannes Kepler University Linz, Austria Jarrod McClean Google Andrew Cross IBM Ali Javadi-Abhari IBM Yunong Shi Amazon